HEPML.bib

# HEPML Papers

% November 12, 2024
@article{Cornell:2024dki,
    author = "Cornell, Alan S. and Fuks, Benjamin and Goodsell, Mark D. and Ncube, Anele M.",
    title = "{Improving smuon searches with Neural Networks}",
    eprint = "2411.04526",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2024"
}

% November 12, 2024
@article{Richter-Was:2024jxn,
    author = "Richter-Was, E. and Yerniyazov, T. and Was, Z.",
    title = "{Pseudo-observables and Deep Neural Network for mixed CP -- H to tau tau decays at LHC}",
    eprint = "2411.06216",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IFJPAN-IV-2024-12",
    month = "11",
    year = "2024"
}

% November 12, 2024
@article{Kawai:2024pws,
    author = "Kawai, Shinsuke and Okada, Nobuchika",
    title = "{Truth, beauty, and goodness in grand unification: a machine learning approach}",
    eprint = "2411.06718",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2024"
}

% November 12, 2024
@article{CMS:2024jdl,
    author = "{CMS Collaboration}",
    title = "{Reweighting simulated events using machine-learning techniques in the CMS experiment}",
    eprint = "2411.03023",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CMS-MLG-24-001, CERN-EP-2024-269",
    month = "11",
    year = "2024"
}

% November 12, 2024
@article{Smith:2024lxz,
    author = "Smith, Dylan and Ghosh, Aishik and Liu, Junze and Baldi, Pierre and Whiteson, Daniel",
    title = "{Fast multi-geometry calorimeter simulation with conditional self-attention variational autoencoders}",
    eprint = "2411.05996",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "11",
    year = "2024"
}

% November 12, 2024
@article{VanStroud:2024fau,
    author = "Van Stroud, Samuel and Duckett, Philippa and Hart, Max and Pond, Nikita and Rettie, S\'ebastien and Facini, Gabriel and Scanlon, Tim",
    title = "{Transformers for Charged Particle Track Reconstruction in High Energy Physics}",
    eprint = "2411.07149",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "11",
    year = "2024"
}

% November 08, 2024
@article{ATLAS:2024mrr,
    author = "{ATLAS Collaboration}",
    title = "{Search for vector-like leptons coupling to first- and second-generation Standard Model leptons in $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector}",
    eprint = "2411.07143",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CERN-EP-2024-296",
    month = "11",
    year = "2024"
}

% November 06, 2024
@article{Heller:2024onk,
    author = "Heller, Nick and Ilten, Phil and Menzo, Tony and Mrenna, Stephen and Nachman, Benjamin and Siodmok, Andrzej and Szewc, Manuel and Youssef, Ahmed",
    title = "{Rejection Sampling with Autodifferentiation -- Case study: Fitting a Hadronization Model}",
    eprint = "2411.02194",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "FERMILAB-PUB-24-0784-CSAID, MCNET-24-18",
    month = "11",
    year = "2024"
}

% November 06, 2024
@inproceedings{Geuskens:2024tfo,
    author = {Geuskens, Joep and Gite, Nishank and Kr\"amer, Michael and Mikuni, Vinicius and M\"uck, Alexander and Nachman, Benjamin and Reyes-Gonz\'alez, Humberto},
    title = "{The Fundamental Limit of Jet Tagging}",
    eprint = "2411.02628",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2024"
}

% November 06, 2024
@article{Butter:2024vbx,
    author = "Butter, Anja and Diefenbacher, Sascha and Huetsch, Nathan and Mikuni, Vinicius and Nachman, Benjamin and Palacios Schweitzer, Sofia and Plehn, Tilman",
    title = "{Generative Unfolding with Distribution Mapping}",
    eprint = "2411.02495",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2024"
}

% November 06, 2024
@article{Terin:2024iyy,
    author = "Terin, Rodrigo Carmo",
    title = "{Physics-informed neural networks viewpoint for solving the Dyson-Schwinger equations of quantum electrodynamics}",
    eprint = "2411.02177",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2024"
}

% November 06, 2024
@article{Greljo:2024ytg,
    author = "Greljo, Admir and Tiblom, Hector and Valenti, Alessandro",
    title = "{New Physics Through Flavor Tagging at FCC-ee}",
    eprint = "2411.02485",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2024"
}


% November 05, 2024
@article{Li:2024akn,
    author = "Li, Peng-Cheng and Bi, Xiao-Xue and Zhang, Zhen and Deng, Xiao-Bao and Li, Chun and Wang, Li-Wen and Liu, Gong-Fa and Zhang, Yi and Zhou, Ai-Yu and Liu, Yu",
    title = "{A versatile framework for attitude tuning of beamlines at advanced light sources}",
    eprint = "2411.01278",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "11",
    year = "2024"
}

% November 05, 2024
@article{Heimel:2024drk,
    author = "Heimel, Theo and Plehn, Tilman and Schmal, Nikita",
    title = "{Profile Likelihoods on ML-Steroids}",
    eprint = "2411.00942",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2024"
}

% November 04, 2024
@article{Brehmer:2024yqw,
    author = "Brehmer, Johann and Bres\'o, V\'\i{}ctor and de Haan, Pim and Plehn, Tilman and Qu, Huilin and Spinner, Jonas and Thaler, Jesse",
    title = "{A Lorentz-Equivariant Transformer for All of the LHC}",
    eprint = "2411.00446",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MIT-CTP/5802",
    month = "11",
    year = "2024"
}

% November 04, 2024
@article{Larkoski:2024hfe,
    author = "Larkoski, Andrew J.",
    title = "{Systematic Interpretability and the Likelihood for Boosted Top Quark Identification}",
    eprint = "2411.00104",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2024"
}

% November 04, 2024
@article{Maselek:2024qyp,
    author = "Mase\l{}ek, Rafa\l{} and Nojiri, Mihoko M. and Sakurai, Kazuki",
    title = "{Machine Learning Electroweakino Production}",
    eprint = "2411.00093",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2024"
}

% October 31, 2024
@article{Araz:2024bom,
    author = "Araz, Jack Y. and Mikuni, Vinicius and Ringer, Felix and Sato, Nobuo and Acosta, Fernando Torales and Whitehill, Richard",
    title = "{Point cloud-based diffusion models for the Electron-Ion Collider}",
    eprint = "2410.22421",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2024"
}

% October 31, 2024
@article{Scott:2024txs,
    author = "Scott, Jacob L. and Dong, Zhongtian and Kim, Taejoon and Kong, Kyoungchul and Park, Myeonghun",
    title = "{Hybrid quantum-classical approach for combinatorial problems at hadron colliders}",
    eprint = "2410.22417",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2024"
}

% October 31, 2024
@article{Kakati:2024dun,
    author = "Kakati, Nilotpal and Dreyer, Etienne and Ivina, Anna and Di Bello, Francesco Armando and Heinrich, Lukas and Kado, Marumi and Gross, Eilam",
    title = "{HGPflow: Extending Hypergraph Particle Flow to Collider Event Reconstruction}",
    eprint = "2410.23236",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "10",
    year = "2024"
}

% October 30, 2024
@article{Algren:2024bqw,
    author = "Algren, Malte and Pollard, Christopher and Raine, John Andrew and Golling, Tobias",
    title = "{Variational inference for pile-up removal at hadron colliders with diffusion models}",
    eprint = "2410.22074",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2024"
}

% October 29, 2024
@article{Krause:2024avx,
    author = "Krause, Claudius and others",
    title = "{CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation}",
    eprint = "2410.21611",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    reportNumber = "HEPHY-ML-24-05, FERMILAB-PUB-24-0728-CMS, TTK-24-43",
    month = "10",
    year = "2024"
}

% October 29, 2024
@article{Das:2024fwo,
    author = "Das, Ranit and Shih, David",
    title = "{SIGMA: Single Interpolated Generative Model for Anomalies}",
    eprint = "2410.20537",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2024"
}

% October 29, 2024
@inproceedings{Aarts:2024rsl,
    author = "Aarts, Gert and Habibi, Diaa E. and Wang, Lingxiao and Zhou, Kai",
    title = "{On learning higher-order cumulants in diffusion models}",
    booktitle = "{38th conference on Neural Information Processing Systems}",
    eprint = "2410.21212",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    reportNumber = "RIKEN-iTHEMS-Report-24",
    month = "10",
    year = "2024"
}

% October 28, 2024
@inproceedings{Zhu:2024kiu,
    author = "Zhu, Qianteng and Aarts, Gert and Wang, Wei and Zhou, Kai and Wang, Lingxiao",
    title = "{Diffusion models for lattice gauge field simulations}",
    booktitle = "{38th conference on Neural Information Processing Systems}",
    eprint = "2410.19602",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    reportNumber = "RIKEN-iTHEMS-Report-24",
    month = "10",
    year = "2024"
}

% October 28, 2024
@article{Butbaia:2024xgj,
    author = {Butbaia, Giorgi and Mayorga Pe\~na, Dami\'an and Tan, Justin and Berglund, Per and H\"ubsch, Tristan and Jejjala, Vishnu and Mishra, Challenger},
    title = "{cymyc -- Calabi-Yau Metrics, Yukawas, and Curvature}",
    eprint = "2410.19728",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "10",
    year = "2024"
}

% October 25, 2024
@article{Maitre:2024hzp,
    author = "Ma\^\i{}tre, Daniel and Ngairangbam, Vishal S. and Spannowsky, Michael",
    title = "{Optimal Equivariant Architectures from the Symmetries of Matrix-Element Likelihoods}",
    eprint = "2410.18553",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IPPP/24/69",
    month = "10",
    year = "2024"
}

% October 25, 2024
@article{Yang:2024bqw,
    author = "Yang, Ji-Chong and Zhang, Shuai and Yue, Chong-Xing",
    title = "{A novel quantum machine learning classifier to search for new physics}",
    eprint = "2410.18847",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2024"
}

% October 24, 2024
@article{Florez:2024lrr,
    author = "Fl\'orez, A. and Gurrola, A. and Rodriguez, C. and Qureshi, U. S.",
    title = "{Probing Light Scalars and Vector-like Quarks at the High-Luminosity LHC}",
    eprint = "2410.17854",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2024"
}

% October 23, 2024
@article{CMS:2024psu,
    author = "{CMS Collaboration}",
    title = "{Performance of the CMS high-level trigger during LHC Run 2}",
    eprint = "2410.17038",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "CMS-TRG-19-001, CERN-EP-2024-259",
    month = "10",
    year = "2024"
}

% October 22, 2024
@article{Vatellis:2024vjl,
    author = "Vatellis, Vasileios",
    title = "{Advancing Physics Data Analysis through Machine Learning and Physics-Informed Neural Networks}",
    eprint = "2410.14760",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2024"
}

% October 22, 2024
@article{Wolf:2024zkz,
    author = "Wolf, Moritz and Stietz, Lars O. and Connor, Patrick L. S. and Schleper, Peter and Bein, Samuel",
    title = "{Fast Perfekt: Regression-based refinement of fast simulation}",
    eprint = "2410.15992",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "10",
    year = "2024"
}

% October 22, 2024
@article{Leon:2024zfk,
    author = "Le\'on, E. and others",
    title = "{Machine Learning-Powered Data Cleaning for LEGEND}",
    eprint = "2410.14701",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "10",
    year = "2024"
}

% October 21, 2024
@article{Kvita:2024ooa,
    author = "Kvita, Ji\v{r}\'\i{} and Baro\v{n}, Petr and Machalov\'a, Monika and P\v{r}\'\i{}vara, Radek and Vod\'ak, Rostislav and Tome\v{c}ek, Jan",
    title = "{Application of Machine Learning Based Top Quark and W Jet Tagging to Hadronic Four-Top Final States Induced by SM and BSM Processes}",
    eprint = "2410.13904",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2024"
}

% October 21, 2024
@article{Sheldon:2024sbe,
    author = "Sheldon, Liam Rankin and Rankin, Dylan Sheldon and Harris, Philip",
    title = "{MACK: Mismodeling Addressed with Contrastive Knowledge}",
    eprint = "2410.13947",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2024"
}

% October 21, 2024
@inproceedings{Malara:2024zsj,
    author = "Malara, Andrea",
    title = "{Exploring jets: substructure and flavour tagging in CMS and ATLAS}",
    booktitle = "{12th Large Hadron Collider Physics Conference}",
    eprint = "2410.14330",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "10",
    year = "2024"
}

% October 18, 2024
@article{Arganda:2024tqo,
    author = "Arganda, Ernesto and Carena, Marcela and de los Rios, Mart\'\i{}n and Perez, Andres D. and Rocha, Duncan and Sand\'a Seoane, Rosa M. and Wagner, Carlos E. M.",
    title = "{Machine-Learning Analysis of Radiative Decays to Dark Matter at the LHC}",
    eprint = "2410.13799",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "EFI-24-9, IFT-UAM/CSIC-24-91, FERMILAB-PUB-24-0791-V",
    month = "10",
    year = "2024"
}

% October 18, 2024
@article{Yu:2024eog,
    author = {Yu, Felix J. and Kamp, Nicholas and Arg\"uelles, Carlos A.},
    title = "{Learning Efficient Representations of Neutrino Telescope Events}",
    eprint = "2410.13148",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "10",
    year = "2024"
}

% October 18, 2024
@article{BESIII:2024mgg,
    author = "{BESIII Collaboration}",
    title = "{Observation of a rare beta decay of the charmed baryon with a Graph Neural Network}",
    eprint = "2410.13515",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "10",
    year = "2024"
}

% October 18, 2024
@article{Gerdes:2024rjk,
    author = "Gerdes, Mathis and de Haan, Pim and Bondesan, Roberto and Cheng, Miranda C. N.",
    title = "{Continuous normalizing flows for lattice gauge theories}",
    eprint = "2410.13161",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "10",
    year = "2024"
}

% October 16, 2024
@article{Tagami:2024gtc,
    author = "Tagami, Risako and Suehara, Taikan and Ishino, Masaya",
    title = "{Application of Particle Transformer to quark flavor tagging in the ILC project}",
    eprint = "2410.11322",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "10",
    year = "2024"
}

% October 16, 2024
@article{Ek:2024fgd,
    author = "Ek, Carl Henrik and Kim, Oisin and Mishra, Challenger",
    title = "{Calabi-Yau metrics through Grassmannian learning and Donaldson's algorithm}",
    eprint = "2410.11284",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "10",
    year = "2024"
}

% October 10, 2024
@article{Verma:2024kdx,
    author = "Verma, Shivam and Biswas, Sanjoy and Mandal, Tanumoy and Mitra, Subhadip",
    title = "{Machine learning tagged boosted dark photon: A signature of fermionic portal matter at the LHC}",
    eprint = "2410.06925",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2024"
}

% October 10, 2024
@article{Ragoni:2024jhg,
    author = "Ragoni, Simone and Seger, Janet and Anson, Christopher and Tlusty, David",
    title = "{Machine learning opportunities for online and offline tagging of photo-induced and diffractive events in continuous readout experiments}",
    eprint = "2410.06983",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "10",
    year = "2024"
}

% October 09, 2024
@article{Bahl:2024meb,
    author = "Bahl, Henning and Bres\'o, Victor and De Crescenzo, Giovanni and Plehn, Tilman",
    title = "{Advancing Tools for Simulation-Based Inference}",
    eprint = "2410.07315",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2024"
}

% October 09, 2024
@article{Ma:2024qoa,
    author = "Ma, Xiaotian and Wu, Zuofei and Wu, Jinfei and Huang, Yanping and Li, Gang and Ruan, Manqi and Alves, F\'abio L. and Jin, Shan",
    title = "{Measurements of decay branching fractions of the Higgs boson to hadronic final states at the CEPC}",
    eprint = "2410.04465",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "10",
    year = "2024"
}

% October 08, 2024
@inproceedings{Wang:2024ykk,
    author = "Wang, Lingxiao and Doi, Takumi and Hatsuda, Tetsuo and Lyu, Yan",
    title = "{Building Hadron Potentials from Lattice QCD with Deep Neural Networks}",
    booktitle = "{41st International Symposium on Lattice Field Theory}",
    eprint = "2410.03082",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    reportNumber = "RIKEN-iTHEMS-Report-24",
    month = "10",
    year = "2024"
}

% October 07, 2024
@article{Bhimji:2024bcd,
    author = "Bhimji, Wahid and others",
    title = "{FAIR Universe HiggsML Uncertainty Challenge Competition}",
    eprint = "2410.02867",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2024"
}

% October 07, 2024
@article{Migala:2024ael,
    author = "Migala, Alexander and Ku, Eugene and Li, Zepeng and Li, Aobo",
    title = "{Real-time Position Reconstruction for the KamLAND-Zen Experiment using Hardware-AI Co-design}",
    eprint = "2410.02991",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "10",
    year = "2024"
}

% October 07, 2024
@inproceedings{Badea:2024zoq,
    author = "Badea, Anthony and others",
    title = "{Intelligent Pixel Detectors: Towards a Radiation Hard ASIC with On-Chip Machine Learning in 28 nm CMOS}",
    booktitle = "{42nd International Conference on High Energy Physics}",
    eprint = "2410.02945",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "10",
    year = "2024"
}

% October 02, 2024
@article{DARWIN:2024unx,
    author = "{DARWIN Collaboration}",
    title = "{Model-independent searches of new physics in DARWIN with a semi-supervised deep learning pipeline}",
    eprint = "2410.00755",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "10",
    year = "2024"
}

% October 02, 2024
@inproceedings{Duarte:2024lsg,
    author = "Duarte, Javier M.",
    title = "{Novel machine learning applications at the LHC}",
    booktitle = "{42nd International Conference on High Energy Physics}",
    eprint = "2409.20413",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CMS-CR-2024-239",
    month = "9",
    year = "2024"
}

% October 01, 2024
@article{Serhiayenka:2024han,
    author = "Serhiayenka, Pavel and Roche, Stephen and Carlson, Benjamin and Hong, Tae Min",
    title = "{Nanosecond hardware regression trees in FPGA at the LHC}",
    eprint = "2409.20506",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "PITT-PACC-2409",
    month = "9",
    year = "2024"
}

% September 30, 2024
@article{Bhat:2024agd,
    author = "Bhat, Faizan and Chowdhury, Debapriyo and Saha, Arnab Priya and Sinha, Aninda",
    title = "{Bootstrapping string models with entanglement minimization and Machine-Learning}",
    eprint = "2409.18259",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "9",
    year = "2024"
}

% September 27, 2024
@article{Chowdhury:2024ymm,
    author = "Chowdhury, Talal Ahmed and Izubuchi, Taku and Kamruzzaman, Methun and Karthik, Nikhil and Khan, Tanjib and Liu, Tianbo and Paul, Arpon and Schoenleber, Jakob and Sufian, Raza Sabbir",
    title = "{Polarized and unpolarized gluon PDFs: generative machine learning applications for lattice QCD matrix elements at short distance and large momentum}",
    eprint = "2409.17234",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "9",
    year = "2024"
}

% September 27, 2024
@inproceedings{Rovira:2024aqd,
    author = "Rovira, M. and Parre\~no, A. and Perry, R. J.",
    title = "{A Variational Approach to Quantum Field Theory}",
    booktitle = "{10th International Conference on Quarks and Nuclear Physics}",
    eprint = "2409.17887",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "9",
    year = "2024"
}

% September 25, 2024
@article{Borella:2024mgs,
    author = "Borella, Lorenzo and Coppi, Alberto and Pazzini, Jacopo and Stanco, Andrea and Trenti, Marco and Triossi, Andrea and Zanetti, Marco",
    title = "{Ultra-low latency quantum-inspired machine learning predictors implemented on FPGA}",
    eprint = "2409.16075",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "9",
    year = "2024"
}

% September 25, 2024
@article{Capuozzo:2024vdw,
    author = "Capuozzo, Pietro and Gherardini, Tancredi Schettini and Suzzoni, Benjamin",
    title = "{Machine Learning Toric Duality in Brane Tilings}",
    eprint = "2409.15251",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    reportNumber = "QMUL-PH-24-21",
    month = "9",
    year = "2024"
}

% September 23, 2024
@article{Saito:2024fmr,
    author = "Saito, Masahiko and Morinaga, Masahiro and Kishimoto, Tomoe and Tanaka, Junichi",
    title = "{Signal model parameter scan using Normalizing Flow}",
    eprint = "2409.13201",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    doi = "10.22323/1.458.0017",
    journal = "PoS",
    volume = "ISGC2024",
    pages = "017",
    month = "9",
    year = "2024"
}

% September 20, 2024
@article{Leigh:2024ked,
    author = "Leigh, Matthew and Klein, Samuel and Charton, Fran\c{c}ois and Golling, Tobias and Heinrich, Lukas and Kagan, Michael and Ochoa, In\^es and Osadchy, Margarita",
    title = "{Is Tokenization Needed for Masked Particle Modelling?}",
    eprint = "2409.12589",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2024"
}

% September 20, 2024
@article{Halverson:2024axc,
    author = "Halverson, James and Naskar, Joydeep and Tian, Jiahua",
    title = "{Conformal Fields from Neural Networks}",
    eprint = "2409.12222",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "9",
    year = "2024"
}

% September 19, 2024
@article{Sahu:2024fzi,
    author = "Sahu, Rameswar and Ashanujjaman, Saiyad and Ghosh, Kirtiman",
    title = "{Unveiling the Secrets of New Physics Through Top Quark Tagging}",
    eprint = "2409.12085",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2024"
}

% September 18, 2024
@article{CMS:2024xzb,
    author = "{CMS Collaboration}",
    title = "{Search for light long-lived particles decaying to displaced jets in proton-proton collisions at $\sqrt{s}$ = 13.6 TeV}",
    eprint = "2409.10806",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CMS-EXO-23-013, CERN-EP-2024-225",
    month = "9",
    year = "2024"
}

% September 18, 2024
@article{Nelakurti:2024xol,
    author = "Nelakurti, Rishivarshil and Hill, Christopher",
    title = "{Evaluating Modifications to Classifiers for Identification of Higgs Bosons}",
    eprint = "2409.10902",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "9",
    year = "2024"
}

% September 17, 2024
@article{Nishimura:2024apb,
    author = "Nishimura, Satsuki and Miyao, Coh and Otsuka, Hajime",
    title = "{Reinforcement learning-based statistical search strategy for an axion model from flavor}",
    eprint = "2409.10023",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "KYUSHU-HET-296",
    month = "9",
    year = "2024"
}

% September 17, 2024
@article{Zhu:2024drd,
    author = "Zhu, Huanbiao and Desai, Krish and Kuusela, Mikael and Mikuni, Vinicius and Nachman, Benjamin and Wasserman, Larry",
    title = "{Multidimensional Deconvolution with Profiling}",
    eprint = "2409.10421",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2024"
}

% September 13, 2024
@article{Glazier:2024ogg,
    author = "Glazier, D. I. and Tyson, R.",
    title = "{Converting sWeights to Probabilities with Density Ratios}",
    eprint = "2409.08183",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "9",
    year = "2024"
}

% September 12, 2024
@article{Zhang:2024ebl,
    author = "Zhang, Shuai and Chen, Ke-Xin and Yang, Ji-Chong",
    title = "{Detect anomalous quartic gauge couplings at muon colliders with quantum kernel k-means}",
    eprint = "2409.07010",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2024"
}

% September 06, 2024
@article{Chekanov:2024ezm,
    author = "Chekanov, Sergei V. and Islam, Wasikul and Zhang, Rui and Luongo, Nicholas",
    title = "{ADFilter -- A Web Tool for New Physics Searches With Autoencoder-Based Anomaly Detection Using Deep Unsupervised Neural Networks}",
    eprint = "2409.03065",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "ANL-HEP-190964",
    month = "9",
    year = "2024"
}

% September 05, 2024
@article{Abasov:2024hyq,
    author = "Abasov, E. and Volkov, P. and Vorotnikov, G. and Dudko, L. and Zaborenko, A. and Iudin, E. and Markina, A. and Perfilov, M.",
    title = "{Application of Kolmogorov-Arnold Networks in high energy physics}",
    eprint = "2409.01724",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2024"
}

% September 05, 2024
@article{Takahashi:2024bxx,
    author = "Takahashi, Shota and Harada, Akira and Yamada, Shoichi",
    title = "{An Extended Closure Relation by LightGBM for Neutrino Radiation Transport in Core-collapse Supernovae}",
    eprint = "2409.02719",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2024"
}

% September 05, 2024
@article{He:2024ppu,
    author = "He, Yan and others",
    title = "{A novel machine learning method to detect double-$\Lambda$ hypernuclear events in nuclear emulsions}",
    eprint = "2409.01657",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "9",
    year = "2024"
}

% September 04, 2024
@article{Bodendorfer:2024egw,
    author = "Bodendorfer, Norbert and Oktay, Onur and Gautam, Vaibhav and Hanada, Masanori and Rinaldi, Enrico",
    title = "{Variational Monte Carlo with Neural Network Quantum States for Yang-Mills Matrix Model}",
    eprint = "2409.00398",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    reportNumber = "RIKEN-iTHEMS-Report-24",
    month = "8",
    year = "2024"
}

% September 02, 2024
@inproceedings{Biro:2024tzv,
    author = {B\'\i{}r\'o, G\'abor and Papp, G\'abor and Barnaf\"oldi, Gergely G\'abor},
    title = "{Estimating event-by-event multiplicity by a Machine Learning Method for Hadronization Studies}",
    eprint = "2408.17130",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2024"
}

% September 02, 2024
@article{Matos:2024ggs,
    author = "Matos, Gabriel and Busch, Elena and Park, Ki Ryeong and Gonski, Julia",
    title = "{Semi-supervised permutation invariant particle-level anomaly detection}",
    eprint = "2408.17409",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2024"
}

% August 29, 2024
@inproceedings{Akchurin:2024ffj,
    author = "Akchurin, N. and others",
    title = "{Vertex Imaging Hadron Calorimetry Using AI/ML Tools}",
    booktitle = "{20th International Conference on Calorimetry in Particle Physics}",
    eprint = "2408.15385",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "8",
    year = "2024"
}

% August 27, 2024
@article{Gao:2024zdz,
    author = "Gao, Lin",
    title = "{Estimation of the pseudoscalar glueball mass based on a modified Transformer}",
    eprint = "2408.13280",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "8",
    year = "2024"
}

% August 23, 2024
@article{Grosso:2024wjt,
    author = "Grosso, Gaia and Letizia, Marco",
    title = "{Multiple testing for signal-agnostic searches of new physics with machine learning}",
    eprint = "2408.12296",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2024"
}

% August 23, 2024
@article{Kats:2024eaq,
    author = "Kats, Yevgeny and Ofir, Edo",
    title = "{From strange-quark tagging to fragmentation tagging with machine learning}",
    eprint = "2408.12377",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2024"
}

% August 22, 2024
@article{Zoch:2024eyp,
    author = "Zoch, Knut and Raine, John Andrew and Sengupta, Debajyoti and Golling, Tobias",
    title = "{RODEM Jet Datasets}",
    eprint = "2408.11616",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2024"
}

% August 21, 2024
@inproceedings{Chung:2024vfg,
    author = "Chung, Wonyong",
    title = "{Full Detector Simulation of a Projective Dual-Readout Segmented Crystal Electromagnetic Calorimeter with Precision Timing}",
    booktitle = "{20th International Conference on Calorimetry in Particle Physics}",
    eprint = "2408.11027",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "8",
    year = "2024"
}

% August 20, 2024
@article{Graczyk:2024pjm,
    author = "Graczyk, Krzysztof M. and Kowal, Beata E. and Ankowski, Artur M. and Banerjee, Rwik Dharmapal and Bonilla, Jose Luis and Prasad, Hemant and Sobczyk, Jan T.",
    title = "{Electron-nucleus cross sections from transfer learning}",
    eprint = "2408.09936",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2024"
}

% August 19, 2024
@article{Yu:2024ldv,
    author = {Yu, Felix J. and Kamp, Nicholas and Arg\"uelles, Carlos A.},
    title = "{Enhancing Events in Neutrino Telescopes through Deep Learning-Driven Super-Resolution}",
    eprint = "2408.08474",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "8",
    year = "2024"
}

% August 16, 2024
@article{JETSCAPE:2024cqe,
    author = "{JETSCAPE Collaboration}",
    title = "{Bayesian Inference analysis of jet quenching using inclusive jet and hadron suppression measurements}",
    eprint = "2408.08247",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2024"
}

% August 12, 2024
@article{Kach:2024yxi,
    author = {K\"ach, Benno and Melzer-Pellmann, Isabell and Kr\"ucker, Dirk},
    title = "{Pay Attention To Mean Fields For Point Cloud Generation}",
    eprint = "2408.04997",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "8",
    year = "2024"
}

% August 12, 2024
@article{Cheung:2024svk,
    author = "Cheung, Clifford and Dersy, Aur\'elien and Schwartz, Matthew D.",
    title = "{Learning the Simplicity of Scattering Amplitudes}",
    eprint = "2408.04720",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    reportNumber = "CALT-TH 2024-031",
    month = "8",
    year = "2024"
}

% August 12, 2024
@article{Panahi:2024sfb,
    author = "Panahi, Milad and Porta, Giovanni Michele and Riva, Monica and Guadagnini, Alberto",
    title = "{Modelling parametric uncertainty in PDEs models via Physics-Informed Neural Networks}",
    eprint = "2408.04690",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "8",
    year = "2024"
}

% August 08, 2024
@article{Luo:2024iwf,
    author = "Luo, Ou-Yang and Chen, Xun and Li, Fu-Peng and Li, Xiao-Hua and Zhou, Kai",
    title = "{Neural Network Modeling of Heavy-Quark Potential from Holography}",
    eprint = "2408.03784",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2024"
}

% August 05, 2024
@article{Bieringer:2024nbc,
    author = "Bieringer, Sebastian and Diefenbacher, Sascha and Kasieczka, Gregor and Trabs, Mathias",
    title = "{Calibrating Bayesian Generative Machine Learning for Bayesiamplification}",
    eprint = "2408.00838",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "8",
    year = "2024"
}

% August 05, 2024
@article{Bose:2024pwc,
    author = "Bose, Camellia and Chakraborty, Amit and Chowdhury, Shreecheta and Dutta, Saunak",
    title = "{Interplay of Traditional Methods and Machine Learning Algorithms for Tagging Boosted Objects}",
    eprint = "2408.01138",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1140/epjs/s11734-024-01256-6",
    month = "8",
    year = "2024"
}

% August 02, 2024
@article{Heimel:2024wph,
    author = "Heimel, Theo and Mattelaer, Olivier and Plehn, Tilman and Winterhalder, Ramon",
    title = "{Differentiable MadNIS-Lite}",
    eprint = "2408.01486",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IRMP-CP3-24-23",
    month = "8",
    year = "2024"
}

% August 02, 2024
@article{Liuti:2024zkc,
    author = "Liuti, Simonetta and others",
    title = "{AI for Nuclear Physics: the EXCLAIM project}",
    eprint = "2408.00163",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2024"
}

% August 02, 2024
@article{Halverson:2024hax,
    author = "Halverson, Jim",
    title = "{TASI Lectures on Physics for Machine Learning}",
    eprint = "2408.00082",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "7",
    year = "2024"
}

% August 01, 2024
@article{Englert:2024ufr,
    author = "Englert, Philipp",
    title = "{Improved Precision in $Vh(\rightarrow b\bar b)$ via Boosted Decision Trees}",
    eprint = "2407.21239",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2024"
}

% July 31, 2024
@article{Hallin:2024gmt,
    author = "Hallin, Anna and Kasieczka, Gregor and Kraml, Sabine and Lessa, Andr\'e and Moureaux, Louis and von Schwartz, Tore and Shih, David",
    title = "{Universal New Physics Latent Space}",
    eprint = "2407.20315",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2024"
}

% July 31, 2024
@article{Cerdeno:2024uqt,
    author = "Cerdeno, David and de los Rios, Martin and Perez, Andres D.",
    title = "{Bayesian technique to combine independently-trained Machine-Learning models applied to direct dark matter detection}",
    eprint = "2407.21008",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IFT-UAM/CSIC-24-116",
    month = "7",
    year = "2024"
}

% July 31, 2024
@inproceedings{Harilal:2024tqq,
    author = "{CMS Collaboration}",
    title = "{Anomaly Detection Based on Machine Learning for the CMS Electromagnetic Calorimeter Online Data Quality Monitoring}",
    booktitle = "{20th International Conference on Calorimetry in Particle Physics}",
    eprint = "2407.20278",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "CMS CR-2024/135",
    month = "7",
    year = "2024"
}

% July 30, 2024
@article{Leigh:2024chm,
    author = "Leigh, Matthew and Sengupta, Debajyoti and Nachman, Benjamin and Golling, Tobias",
    title = "{Accelerating template generation in resonant anomaly detection searches with optimal transport}",
    eprint = "2407.19818",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2024"
}

% July 30, 2024
@article{Dong:2024gts,
    author = "Dong, Nuoyu and Hou, Hongsheng and Qian, Zhuoni and Wang, Bowen and Xu, Qingjun",
    title = "{Probing Charm Yukawa through $ch$ Associated Production at the Hadron Collider}",
    eprint = "2407.19797",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2024"
}

% July 30, 2024
@article{ATLAS:2024rua,
    author = "{ATLAS Collaboration}",
    title = "{Accuracy versus precision in boosted top tagging with the ATLAS detector}",
    eprint = "2407.20127",
    journal="JINST",
    volume="19",
    pages="P08018",
    doi="10.1088/1748-0221/19/08/P08018",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CERN-EP-2024-159",
    month = "7",
    year = "2024"
}

% July 30, 2024
@article{Zhu:2024ubz,
    author = {Zhu, Tong and Jin, Miaochen and Arg\"uelles, Carlos A.},
    title = "{Comparison of Geometrical Layouts for Next-Generation Large-volume Cherenkov Neutrino Telescopes}",
    eprint = "2407.19010",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "7",
    year = "2024"
}

% July 25, 2024
@article{Mosala:2024mcy,
    author = "Mosala, Karabo and Mulaudzi, Anza-Tshilidzi and Mathaha, Thuso and Sharma, Pramod and Kumar, Mukesh and Mellado, Bruce and Ruan, Manqi",
    title = "{The Observation of a 95 GeV Scalar at Future Electron-Positron Colliders}",
    eprint = "2407.16806",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2024"
}

% July 25, 2024
@article{Wojnar:2024cbn,
    author = "Wojnar, Maksymilian",
    title = "{Applying generative neural networks for fast simulations of the ALICE (CERN) experiment}",
    eprint = "2407.16704",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "7",
    year = "2024"
}

% July 22, 2024
@article{Calafiura:2024qhv,
    author = "Calafiura, Paolo and Chan, Jay and Delabrouille, Loic and Wang, Brandon",
    title = "{EggNet: An Evolving Graph-based Graph Attention Network for Particle Track Reconstruction}",
    eprint = "2407.13925",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "7",
    year = "2024"
}

% July 18, 2024
@article{Alves:2024hrj,
    author = "Alves, Alexandre and Almeida, Eduardo da Silva and Dias, Alex G. and Gon\c{c}alves, Diego S. V.",
    title = "{Exploring Top-Quark Signatures of Heavy Flavor-Violating Scalars at the LHC with Parametrized Neural Networks}",
    eprint = "2407.12118",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2024"
}

% July 18, 2024
@article{Gao:2024nzg,
    author = "Gao, Lin",
    title = "{Study of the mass of pseudoscalar glueball with a deep neural network}",
    eprint = "2407.12010",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "6",
    year = "2024"
}

% July 18, 2024
@article{Correia:2024ogc,
    author = "Correia, Anthony and Giasemis, Fotis I. and Garroum, Nabil and Gligorov, Vladimir Vava and Granado, Bertrand",
    title = "{Graph Neural Network-Based Track Finding in the LHCb Vertex Detector}",
    eprint = "2407.12119",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "7",
    year = "2024"
}

% July 17, 2024
@article{Desai:2024kpd,
    author = "Desai, Krish and Nachman, Benjamin and Thaler, Jesse",
    title = "{Moment Unfolding}",
    eprint = "2407.11284",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MIT-CTP 5727",
    month = "7",
    year = "2024"
}

% July 12, 2024
@article{Cazzaniga:2024mmv,
    author = "Cazzaniga, Cesare and Russo, Alessandro and Sitti, Emre and de Cosa, Annapaola",
    title = "{Phenomenology of photons-enriched semi-visible jets}",
    eprint = "2407.08276",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2024"
}

% July 12, 2024
@article{Wu:2024thh,
    author = "Wu, Yifan and Wang, Kun and Zhu, Jingya",
    title = "{Jet Tagging with More-Interaction Particle Transformer}",
    eprint = "2407.08682",
    doi= {10.1088/1674-1137/ad7f3d},
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2024"
}

% July 12, 2024
@article{CMS:2024ddc,
    author = "{CMS Collaboration}",
    title = "{Measurement of boosted Higgs bosons produced via vector boson fusion or gluon fusion in the H $\to$$\mathrm{b\bar{b}}$ decay mode using LHC proton-proton collision data at $\sqrt{s}$ = 13 TeV}",
    eprint = "2407.08012",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CMS-HIG-21-020, CERN-EP-2024-162",
    month = "7",
    year = "2024"
}

% July 12, 2024
@article{Boukela:2024rst,
    author = "Boukela, Lynda and Eichler, Annika and Branlard, Julien and Jomhari, Nur Zulaiha",
    title = "{A Two-Stage Machine Learning-Aided Approach for Quench Identification at the European XFEL}",
    eprint = "2407.08408",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "7",
    year = "2024"
}

% July 11, 2024
@article{Wojcik:2024lfy,
    author = "Wojcik, George N. and Eu, Shu Tian and Everett, Lisa L.",
    title = "{Graph Reinforcement Learning for Exploring BSM Model Spaces}",
    eprint = "2407.07203",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2024"
}

% July 11, 2024
@article{Caron:2024cyo,
    author = "Caron, Sascha and Dobreva, Nadezhda and S\'anchez, Antonio Ferrer and Mart\'\i{}n-Guerrero, Jos\'e D. and Odyurt, Uraz and Ruiz de Austri Bazan, Roberto Ruiz and Wolffs, Zef and Zhao, Yue",
    title = "{TrackFormers: In Search of Transformer-Based Particle Tracking for the High-Luminosity LHC Era}",
    eprint = "2407.07179",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "7",
    year = "2024"
}

% July 11, 2024
@article{Fanelli:2024wrj,
    author = "Fanelli, Cristiano and Giroux, James and Stevens, Justin",
    title = "{Deep(er) Reconstruction of Imaging Cherenkov Detectors with Swin Transformers and Normalizing Flow Models}",
    eprint = "2407.07376",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "7",
    year = "2024"
}

% July 10, 2024
@article{Simsek:2024zhj,
    author = "Simsek, Ebru and Isildak, Bora and Dogru, Anil and Aydogan, Reyhan and Bayrak, Aydogan Burak and Ertekin, Seyda",
    title = "{CALPAGAN: Calorimetry for Particles Using Generative Adversarial Networks}",
    eprint = "2401.02248",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.1093/ptep/ptae106",
    journal = "PTEP",
    volume = "2024",
    number = "8",
    month = "7",
    year = "2024"
}

% July 10, 2024
@article{Tani:2024qzm,
    author = "Tani, Laurits and Seeba, Nalong-Norman and Vanaveski, Hardi and Pata, Joosep and Lange, Torben",
    title = "{A unified machine learning approach for reconstructing hadronically decaying tau leptons}",
    eprint = "2407.06788",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "7",
    year = "2024"
}

% July 10, 2024
@article{Bachtis:2024dss,
    author = "Bachtis, Dimitrios",
    title = "{Disordered Lattice Glass $\phi^{4}$ Quantum Field Theory}",
    eprint = "2407.06569",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "7",
    year = "2024"
}

% July 10, 2024
@article{Hendi:2024yin,
    author = "Hendi, Yacoub and Larfors, Magdalena and Walden, Moritz",
    title = "{Learning Group Invariant Calabi-Yau Metrics by Fundamental Domain Projections}",
    eprint = "2407.06914",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    reportNumber = "UUITP-21/24",
    month = "7",
    year = "2024"
}

% July 09, 2024
@article{Larkoski:2024uoc,
    author = "Larkoski, Andrew J.",
    title = "{QCD Masterclass Lectures on Jet Physics and Machine Learning}",
    eprint = "2407.04897",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2024"
}

% July 09, 2024
@article{Chen:2024vdq,
    author = "Chen, Jian and Wang, Jun and Wang, Wei and Wei, Yuehuan",
    title = "{Extraction of fissile isotope antineutrino spectra using feedforward neural network}",
    eprint = "2407.05834",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2024"
}

% July 09, 2024
@article{Farrell:2024aah,
    author = "Farrell, Sophia and Bergevin, Marc and Bernstein, Adam",
    title = "{Physics-informed machine learning approaches to reactor antineutrino detection}",
    eprint = "2407.06139",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "LLNL-JRNL-865846",
    month = "7",
    year = "2024"
}

% July 08, 2024
@article{Kriesten:2024are,
    author = "Kriesten, Brandon and Gomprecht, Jonathan and Hobbs, T. J.",
    title = "{Explainable AI classification for parton density theory}",
    eprint = "2407.03411",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "ANL-189807",
    month = "7",
    year = "2024"
}

% July 08, 2024
@article{Sandoval:2024ldp,
    author = "Sandoval, Jairo Orozco and Manian, Vidya and Malik, Sudhir",
    title = "{A multicategory jet image classification framework using deep neural network}",
    eprint = "2407.03524",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2024"
}

% July 08, 2024
@article{Ramirez-Morales:2024krk,
    author = "Ramirez-Morales, A. and Guti\'errez-Rodr\'\i{}guez, A. and Cisneros-P\'erez, T. and Garcia-Tecocoatzi, H. and D\'avila-Rivera, A.",
    title = "{Exotic and physics-informed support vector machines for high energy physics}",
    eprint = "2407.03538",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "7",
    year = "2024"
}

% July 03, 2024
@article{Dong:2024xsg,
    author = "Dong, Zhongtian and Gon\c{c}alves, Dorival and Kong, Kyoungchul and Larkoski, Andrew J. and Navarro, Alberto",
    title = "{Hadronic Top Quark Polarimetry with ParticleNet}",
    eprint = "2407.01663",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2024"
}

% July 02, 2024
@article{Barman:2024wfx,
    author = "Barman, Rahool Kumar and Biswas, Sumit",
    title = "{Top-philic Machine Learning}",
    eprint = "2407.00183",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1140/epjs/s11734-024-01237-9",
    month = "6",
    year = "2024"
}

% July 02, 2024
@article{Hirvonen:2024zne,
    author = "Hirvonen, Henry and Kuha, Mikko and Auvinen, Jussi and Eskola, Kari J. and Kanakubo, Yuuka and Niemi, Harri",
    title = "{Effects of saturation and fluctuating hotspots for flow observables in ultrarelativistic heavy-ion collisions}",
    eprint = "2407.01338",
    journal="Phys.Rev.C",
    volume="110",
    pages="034911",
    doi="10.1103/PhysRevC.110.034911",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2024"
}

% July 02, 2024
@article{Grosso:2024nho,
    author = "Grosso, Gaia",
    title = "{Anomaly-aware summary statistic from data batches}",
    eprint = "2407.01249",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "7",
    year = "2024"
}

% July 02, 2024
@article{Soum-Sidikov:2024khx,
    author = {Soum-Sidikov, Gabrielle and Crocombette, Jean-Paul and Marinica, Mihai-Cosmin and Doutre, Corentin and Lhuillier, David and Thulliez, Lo\"\i{}c},
    title = "{Calculation of crystal defects induced in CaWO$_{4}$ by 100 eV displacement cascades using a linear Machine Learning interatomic potential}",
    eprint = "2407.00133",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "6",
    year = "2024"
}

% July 02, 2024
@article{CALICE:2024jke,
    author = "{ALICE Collaboration}",
    title = "{Shower Separation in Five Dimensions for Highly Granular Calorimeters using Machine Learning}",
    eprint = "2407.00178",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "6",
    year = "2024"
}

% July 01, 2024
@article{Los:2024xzl,
    author = "Los, E. E. and Arran, C. and Gerstmayr, E. and Streeter, M. J. V. and Najmudin, Z. and Ridgers, C. P. and Sarri, G. and Mangles, S. P. D.",
    title = "{A Bayesian Framework to Investigate Radiation Reaction in Strong Fields}",
    eprint = "2406.19420",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "6",
    year = "2024"
}

% June 28, 2024
@article{Heisig:2024jkk,
    author = {Heisig, Jan and Korsmeier, Michael and Kr\"amer, Michael and Nippel, Kathrin and Rathmann, Lena},
    title = "{$\overline{\text{D}}$arkRayNet: Emulation of cosmic-ray antideuteron fluxes from dark matter}",
    eprint = "2406.18642",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "TTK-24-25",
    month = "6",
    year = "2024"
}

% June 28, 2024
@article{Schofbeck:2024zjo,
    author = {Sch\"ofbeck, Robert},
    title = "{Refinable modeling for unbinned SMEFT analyses}",
    eprint = "2406.19076",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2024"
}

% June 25, 2024
@article{Soybelman:2024mbv,
    author = "Soybelman, Nathalie and Schiavi, Carlo and Di Bello, Francesco A. and Gross, Eilam",
    title = "{Accelerating Graph-based Tracking Tasks with Symbolic Regression}",
    eprint = "2406.16752",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "6",
    year = "2024"
}

% June 24, 2024
@article{Jiang:2024vsr,
    author = "Jiang, Fu-Jiun",
    title = "{Berezinskii--Kosterlitz--Thouless transition of the two-dimensional $XY$ model on the honeycomb lattice}",
    eprint = "2406.14812",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "6",
    year = "2024"
}

% June 24, 2024
@article{Parpillon:2024maz,
    author = "Parpillon, Benjamin and others",
    title = "{Smart Pixels: In-pixel AI for on-sensor data filtering}",
    eprint = "2406.14860",
    doi="10.1109/NSS/MIC/RTSD57108.2024.10655003",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "FERMILAB-CONF-24-0233-ETD",
    month = "6",
    year = "2024"
}

% June 21, 2024
@article{Quetant:2024ftg,
    author = "Qu\'etant, Guillaume and Raine, John Andrew and Leigh, Matthew and Sengupta, Debajyoti and Golling, Tobias",
    title = "{PIPPIN: Generating variable length full events from partons}",
    eprint = "2406.13074",
    journal="Phys.Rev.D",
    volume="110",
    pages="076023",
    doi="10.1103/PhysRevD.110.076023",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2024"
}

% June 21, 2024
@article{Ahmad:2024dql,
    author = "Ahmad, Farzana Yasmin and Venkataswamy, Vanamala and Fox, Geoffrey",
    title = "{A Comprehensive Evaluation of Generative Models in Calorimeter Shower Simulation}",
    eprint = "2406.12898",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "6",
    year = "2024"
}

% June 21, 2024
@article{Gavrikov:2024rso,
    author = "Gavrikov, A. and others",
    title = "{Interpretable machine learning approach for electron antineutrino selection in a large liquid scintillator detector}",
    eprint = "2406.12901",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "6",
    year = "2024"
}

% June 19, 2024
@article{Cai:2024eqa,
    author = "Cai, Rong-Gen and He, Song and Li, Li and Zeng, Hong-An",
    title = "{QCD Phase Diagram at finite Magnetic Field and Chemical Potential: A Holographic Approach Using Machine Learning}",
    eprint = "2406.12772",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "6",
    year = "2024"
}

% June 19, 2024
@article{Aamir:2024lpz,
    author = "Aamir, M. and others",
    title = "{Using graph neural networks to reconstruct charged pion showers in the CMS High Granularity Calorimeter}",
    eprint = "2406.11937",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "6",
    year = "2024"
}

% June 18, 2024
@article{Pratiush:2024ltm,
    author = "Pratiush, Utkarsh and Houston, Austin and Kalinin, Sergei V. and Duscher, Gerd",
    title = "{Implementing dynamic high-performance computing supported workflows on Scanning Transmission Electron Microscope}",
    eprint = "2406.11018",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "6",
    year = "2024"
}

% June 17, 2024
@article{Kara:2024xkk,
    author = "Kara, S. O. and Akkoyun, S.",
    title = "{A Search for Leptonic Photon, $Z_{l}$, at All Three CLIC Energy Stages by Using Artificial Neural Networks (ANN)}",
    eprint = "2406.10097",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.5506/APhysPolB.55.6-A4",
    journal = "Acta Phys. Polon. B",
    volume = "55",
    number = "6",
    pages = "6--A4",
    year = "2024"
}

% June 17, 2024
@article{Goodsell:2024aig,
    author = "Goodsell, Mark D.",
    title = "{HackAnalysis 2: A powerful and hackable recasting tool}",
    eprint = "2406.10042",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2024"
}

% June 17, 2024
@article{MicroBooNE:2024zhz,
    author = "Abratenko, P. and others",
    collaboration = "MicroBooNE",
    title = "{Improving neutrino energy estimation of charged-current interaction events with recurrent neural networks in MicroBooNE}",
    eprint = "2406.10123",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "FERMILAB-PUB-24-0287",
    month = "6",
    year = "2024"
}

% June 14, 2024
@article{Liuti:2024umy,
    author = "Liuti, Simonetta",
    title = "{Extraction of Information from Polarized Deep Exclusive Scattering with Machine Learning}",
    eprint = "2406.09258",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2024"
}

% June 14, 2024
@article{Blekman:2024wyf,
    author = "Blekman, Freya and Canelli, Florencia and De Moor, Alexandre and Gautam, Kunal and Ilg, Armin and Macchiolo, Anna and Ploerer, Eduardo",
    title = "{Jet Flavour Tagging at FCC-ee with a Transformer-based Neural Network: DeepJetTransformer}",
    eprint = "2406.08590",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "PUBDB-2024-01826",
    month = "6",
    year = "2024"
}

% June 14, 2024
@article{Tiras:2024yzr,
    author = "Tiras, Emrah and Tas, Merve and Kizilkaya, Dilara and Yagiz, Muhammet Anil and Kandemir, Mustafa",
    title = "{Comprehensive Machine Learning Model Comparison for Cherenkov and Scintillation Light Separation due to Particle Interactions}",
    eprint = "2406.09191",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "6",
    year = "2024"
}

% June 12, 2024
@article{Ahn:2024lkh,
    author = "Ahn, Byoungjoon and Jeong, Hyun-Sik and Kim, Keun-Young and Yun, Kwan",
    title = "{Holographic reconstruction of black hole spacetime: machine learning and entanglement entropy}",
    eprint = "2406.07395",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    reportNumber = "IFT-UAM/CSIC-24-88",
    month = "6",
    year = "2024"
}

% June 11, 2024
@article{Mansouri:2024uwc,
    author = "Mansouri, Mahdi and Bitaghsir Fadafan, Kazem and Chen, Xun",
    title = "{Holographic complex potential of a quarkonium from deep learning}",
    eprint = "2406.06285",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2024"
}

% June 07, 2024
@article{Hatefi:2024asc,
    author = "Hatefi, Armin and Hatefi, Ehsan and Lopez-Sastre, Roberto J.",
    title = "{Neural Networks Assisted Metropolis-Hastings for Bayesian Estimation of Critical Exponent on Elliptic Black Hole Solution in 4D Using Quantum Perturbation Theory}",
    eprint = "2406.04310",
    journal="JCAP",
    volume="09",
    pages="015",
    doi="10.1088/1475-7516/2024/09/015",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "6",
    year = "2024"
}

% June 06, 2024
@article{Bickendorf:2024ovi,
    author = "Bickendorf, Gerrit and Drees, Manuel",
    title = "{Learning to see R-parity violating scalar top decays}",
    eprint = "2406.03096",
    journal="Phys.Rev.D",
    volume="110",
    pages="056006",
    doi="10.1103/PhysRevD.110.056006",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2024"
}

% June 06, 2024
@article{Kita:2024nnw,
    author = "Kita, Miko\l{}aj and Dubi\'nski, Jan and Rokita, Przemys\l{}aw and Deja, Kamil",
    title = "{Generative Diffusion Models for Fast Simulations of Particle Collisions at CERN}",
    eprint = "2406.03233",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "6",
    year = "2024"
}

% June 05, 2024
@article{Yan:2024yir,
    author = "Yan, Mengshi and Hou, Tie-Jiun and Li, Zhao and Mohan, Kirtimaan and Yuan, C. -P.",
    title = "{A generalized statistical model for fits to parton distributions}",
    eprint = "2406.01664",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MSUHEP-24-002",
    month = "6",
    year = "2024"
}

% June 05, 2024
@inproceedings{Barontini:2024dyb,
    author = "Barontini, Andrea and Laurenti, Niccolo and Rojo, Juan",
    title = "{NNPDF4.0 aN$^3$LO PDFs with QED corrections}",
    booktitle = "{31st International Workshop on Deep-Inelastic Scattering and Related Subjects}",
    eprint = "2406.01779",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2024"
}

% June 05, 2024
@article{Dreyer:2024bhs,
    author = "Dreyer, Etienne and Gross, Eilam and Kobylianskii, Dmitrii and Mikuni, Vinicius and Nachman, Benjamin and Soybelman, Nathalie",
    title = "{Parnassus: An Automated Approach to Accurate, Precise, and Fast Detector Simulation and Reconstruction}",
    eprint = "2406.01620",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "5",
    year = "2024"
}

% June 03, 2024
@article{Buss:2024orz,
    author = "Buss, Thorsten and Gaede, Frank and Kasieczka, Gregor and Krause, Claudius and Shih, David",
    title = "{Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows}",
    eprint = "2405.20407",
    journal="JINST",
    volume="19",
    pages="P09003",
    doi="10.1088/1748-0221/19/09/P09003",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "HEPHY-ML-24-02",
    month = "5",
    year = "2024"
}

% May 31, 2024
@article{ATLAS:2024xxl,
    author = "{ATLAS Collaboration}",
    title = "{A simultaneous unbinned differential cross section measurement of twenty-four $Z$+jets kinematic observables with the ATLAS detector}",
    eprint = "2405.20041",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CERN-EP-2024-132",
    month = "5",
    year = "2024"
}

% May 31, 2024
@article{Zhang:2024mcu,
    author = "Zhang, Zhengkang",
    title = "{Neural Scaling Laws From Large-N Field Theory: Solvable Model Beyond the Ridgeless Limit}",
    eprint = "2405.19398",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "5",
    year = "2024"
}

% May 30, 2024
@article{Hammad:2024hhm,
    author = "Hammad, A. and Ko, P. and Lu, Chih-Ting and Park, Myeonghun",
    title = "{Exploring Exotic Decays of the Higgs Boson to Multi-Photons at the LHC via Multimodal Learning Approaches}",
    eprint = "2405.18834",
    journal="JHEP",
    volume="09",
    pages="166",
    doi="10.1007/JHEP09(2024)166",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2024"
}

% May 28, 2024
@article{AbdusSalam:2024obf,
    author = "AbdusSalam, Shehu and Abel, Steven and Crispim Rom\~ao, Miguel",
    title = "{Symbolic Regression for Beyond the Standard Model Physics}",
    eprint = "2405.18471",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IPPP/24/27",
    month = "5",
    year = "2024"
}

% May 28, 2024
@article{Kopp:2024lch,
    author = "Kopp, Joachim and Machado, Pedro and MacMahon, Margot and Martinez-Soler, Ivan",
    title = "{Improving Neutrino Energy Reconstruction with Machine Learning}",
    eprint = "2405.15867",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "CERN-TH-2024-066, MITP-24-052, FERMILAB-PUB-24-0276-T, IPPP/24/26",
    month = "5",
    year = "2024"
}

% May 28, 2024
@article{Mastandrea:2024irf,
    author = "Mastandrea, Radha and Nachman, Benjamin and Plehn, Tilman",
    title = "{Constraining the Higgs Potential with Neural Simulation-based Inference for Di-Higgs Production}",
    eprint = "2405.15847",
    journal="Phys.Rev.D",
    volume="110",
    pages="056004",
    doi="10.1103/PhysRevD.110.056004",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2024"
}

% May 28, 2024
@article{Esmail:2024gdc,
    author = "Esmail, Waleed and Hammad, A. and Jueid, Adil and Moretti, Stefano",
    title = "{Boosting probes of CP violation in the top Yukawa coupling with Deep Learning}",
    eprint = "2405.16499",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "CTPU-PTC-24-14",
    month = "5",
    year = "2024"
}

% May 28, 2024
@article{Cai:2024xnt,
    author = "Cai, Tianji and Cheng, Junyi and Craig, Nathaniel and Koszegi, Giacomo and Larkoski, Andrew J.",
    title = "{The Phase Space Distance Between Collider Events}",
    eprint = "2405.16698",
    journal="JHEP",
    volume="09",
    pages="054",
    doi="10.1007/JHEP09(2024)054",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2024"
}

% May 28, 2024
@inproceedings{Bachtis:2024vks,
    author = "Bachtis, Dimitrios",
    title = "{Generating configurations of increasing lattice size with machine learning and the inverse renormalization group}",
    booktitle = "{EuroPLEx Final Conference}",
    eprint = "2405.16288",
    journal="PoS",
    volume="EuroPLEx2023",
    pages="001",
    doi="10.22323/1.451.0001",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "5",
    year = "2024"
}

% May 28, 2024
@article{Dao:2024zab,
    author = "Dao, H. L.",
    title = "{Deep Learning Calabi-Yau four folds with hybrid and recurrent neural network architectures}",
    eprint = "2405.17406",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "5",
    year = "2024"
}

% May 24, 2024
@article{Cruz:2024grk,
    author = "Cruz, Sergio S\'anchez and Kolosova, Marina and Petrucciani, Giovanni and \'Alvarez, Clara Ram\'on and Vischia, Pietro",
    title = "{Equivariant neural networks for robust $\textit{CP}$ observables}",
    eprint = "2405.13524",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2024"
}

% May 24, 2024
@article{CMS:2024zqs,
    author = "{CMS Collaboration}",
    title = "{Dark sector searches with the CMS experiment}",
    eprint = "2405.13778",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CMS-EXO-23-005, CERN-EP-2024-106",
    month = "5",
    year = "2024"
}

% May 24, 2024
@article{Belle-II:2024vvr,
    author = "{Belle-II Collaboration}",
    title = "{Test of light-lepton universality in $\tau$ decays with the Belle II experiment}",
    eprint = "2405.14625",
    journal="JHEP",
    volume="08",
    pages="205",
    doi="10.1007/JHEP08(2024)205",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "Belle II Preprint 2024-002, KEK Preprint 2023-49",
    month = "5",
    year = "2024"
}

% May 24, 2024
@article{Apte:2024vwn,
    author = "Apte, Anuj and Ashmore, Anthony and Cordova, Clay and Huang, Tzu-Chen",
    title = "{Deep learning lattice gauge theories}",
    eprint = "2405.14830",
    journal="Phys.Rev.B",
    volume="110",
    pages="165133",
    doi="10.1103/PhysRevB.110.165133",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "5",
    year = "2024"
}

% May 24, 2024
@article{Spinner:2024hjm,
    author = "Spinner, Jonas and Bres\'o, Victor and de Haan, Pim and Plehn, Tilman and Thaler, Jesse and Brehmer, Johann",
    title = "{Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics}",
    eprint = "2405.14806",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    reportNumber = "MIT-CTP/5723",
    month = "5",
    year = "2024"
}

% May 22, 2024
@article{Li:2024htp,
    author = "Li, Congqiao and others",
    title = "{Accelerating Resonance Searches via Signature-Oriented Pre-training}",
    eprint = "2405.12972",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2024"
}

% May 21, 2024
@article{Santos:2024bqr,
    author = "Santos, Leonarc Michelle and Chavez, Vince Angelo A. and Sombillo, Denny Lane B.",
    title = "{Pole structure of $P_\psi^N(4312)^+$ via machine learning and uniformized S-matrix}",
    eprint = "2405.11906",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2024"
}

% May 20, 2024
@article{Xu:2024tjp,
    author = "Xu, Tian and Wang, Lingxiao and He, Lianyi and Zhou, Kai and Jiang, Yin",
    title = "{Building imaginary-time thermal filed theory with artificial neural networks}",
    eprint = "2405.10493",
    journal="Chin.Phys.C",
    volume="48",
    pages="103101",
    doi="10.1088/1674-1137/ad5f80",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    reportNumber = "RIKEN-iTHEMS-Report-24",
    month = "5",
    year = "2024"
}

% May 17, 2024
@article{Kobylianskii:2024sup,
    author = "Kobylianskii, Dmitrii and Soybelman, Nathalie and Kakati, Nilotpal and Dreyer, Etienne and Gross, Eilam",
    title = "{Advancing Set-Conditional Set Generation: Graph Diffusion for Fast Simulation of Reconstructed Particles}",
    eprint = "2405.10106",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "5",
    year = "2024"
}

% May 17, 2024
@article{Gukov:2024opc,
    author = "Gukov, Sergei and Seong, Rak-Kyeong",
    title = "{Learning BPS Spectra and the Gap Conjecture}",
    eprint = "2405.09993",
    journal="Phys.Rev.D",
    volume="110",
    pages="046016",
    doi="10.1103/PhysRevD.110.046016",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    reportNumber = "UNIST-MTH-24-RS-02",
    month = "5",
    year = "2024"
}

% May 16, 2024
@article{Cheng:2024yig,
    author = "Cheng, Chi Lung and Singh, Gurpreet and Nachman, Benjamin",
    title = "{Incorporating Physical Priors into Weakly-Supervised Anomaly Detection}",
    eprint = "2405.08889",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2024"
}

% May 16, 2024
@article{Yoon:2024pbz,
    author = "Yoon, Jong-Hyun and Cl\'ery, Simon and Gross, Mathieu and Mambrini, Yann",
    title = "{Preheating with deep learning}",
    eprint = "2405.08901",
    journal="JCAP",
    volume="08",
    pages="031",
    doi="10.1088/1475-7516/2024/08/031",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2024"
}

% May 15, 2024
@article{Ahmed:2024iqx,
    author = "Ahmed, Ijaz and Ahmad, Usman and Muhammad, Jamil and Shafaq, Saba",
    title = "{Leptoquark Searches at TeV Scale Using Neural Networks at Hadron Collider}",
    eprint = "2405.08090",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2024"
}

@article{Favaro:2024rle,
    author = "Favaro, Luigi and Ore, Ayodele and Schweitzer, Sofia Palacios and Plehn, Tilman",
    title = "{CaloDREAM -- Detector Response Emulation via Attentive flow Matching}",
    eprint = "2405.09629",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2024"
}

% May 13, 2024
@article{Chen:2024mmd,
    author = "Chen, Xun and Huang, Mei",
    title = "{Flavor dependent Critical endpoint from holographic QCD through machine learning}",
    eprint = "2405.06179",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2024"
}

% May 13, 2024
@article{Choudhury:2024crp,
    author = "Choudhury, Arghya and Mondal, Arpita and Sarkar, Subhadeep",
    title = "{Searches for the BSM scenarios at the LHC using decision tree based machine learning algorithms: A comparative study and review of Random Forest, Adaboost, XGboost and LightGBM frameworks}",
    eprint = "2405.06040",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2024"
}

% May 13, 2024
@article{Liu:2024kvv,
    author = "Liu, Qibin and Shimmin, Chase and Liu, Xiulong and Shlizerman, Eli and Li, Shu and Hsu, Shih-Chieh",
    title = "{Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter Simulation}",
    eprint = "2405.06605",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "5",
    year = "2024"
}

% May 13, 2024
@article{Wilkinson:2024xva,
    author = "Wilkinson, Jeremy J. H. and Lester, Christopher G.",
    title = "{Statistical divergences in high-dimensional hypothesis testing and a modern technique for estimating them}",
    eprint = "2405.06397",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "5",
    year = "2024"
}

% May 10, 2024
@article{Cai:2024bpv,
    author = "Cai, Chang and others",
    title = "{RELICS: a REactor neutrino LIquid xenon Coherent elastic Scattering experiment}",
    eprint = "2405.05554",
    journal="Phys.Rev.D",
    volume="110",
    pages="072011",
    doi="10.1103/PhysRevD.110.072011",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "5",
    year = "2024"
}

% May 09, 2024
@article{Paeng:2024ary,
    author = "Paeng, Won-Gi and Kwon, Daesuk",
    title = "{Folded context condensation in Path Integral formalism for infinite context transformers}",
    eprint = "2405.04620",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2024"
}

% May 09, 2024
@article{ATLAS:2024itc,
    author = "{ATLAS Collaboration}",
    title = "{ATLAS searches for additional scalars and exotic Higgs boson decays with the LHC Run 2 dataset}",
    eprint = "2405.04914",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CERN-EP-2024-094",
    month = "5",
    year = "2024"
}

% May 07, 2024
@article{Li:2024uju,
    author = "Li, Jing and Sun, Hao",
    title = "{HEP ML Lab: An end-to-end framework for applying machine learning into phenomenology studies}",
    eprint = "2405.02888",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2024"
}


% May 06, 2024
@article{IceCube:2024xjj,
    author = "{IceCube Collaboration}",
    title = "{Measurement of atmospheric neutrino oscillation parameters using convolutional neural networks with 9.3 years of data in IceCube DeepCore}",
    eprint = "2405.02163",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "5",
    year = "2024"
}

% May 03, 2024
@article{CMS:2024vjn,
    author = "{CMS Collaboration}",
    title = "{Search for new resonances decaying to pairs of merged diphotons in proton-proton collisions at $\sqrt{s}$ = 13 TeV}",
    eprint = "2405.00834",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CMS-EXO-22-022, CERN-EP-2024-101",
    month = "5",
    year = "2024"
}

% May 01, 2024
@article{Du:2024gbp,
    author = "Du, Haoxing and Krause, Claudius and Mikuni, Vinicius and Nachman, Benjamin and Pang, Ian and Shih, David",
    title = "{Unifying Simulation and Inference with Normalizing Flows}",
    eprint = "2404.18992",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "HEPHY-ML-24-01",
    month = "4",
    year = "2024"
}

% April 30, 2024
@article{Chen:2024epd,
    author = "Chen, Bing and Chen, Xun and Li, Xiaohua and Zhu, Zhou-Run and Zhou, Kai",
    title = "{Exploring Transport Properties of Quark-Gluon Plasma with a Machine-Learning assisted Holographic Approach}",
    eprint = "2404.18217",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2024"
}

% April 30, 2024
@article{Huetsch:2024quz,
    author = "Huetsch, Nathan and others",
    title = "{The Landscape of Unfolding with Machine Learning}",
    eprint = "2404.18807",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2024"
}

% April 30, 2024
@article{Diaz:2024yfu,
    author = "Diaz, Mauricio A. and Cerro, Giorgio and Dasmahapatra, Srinandan and Moretti, Stefano",
    title = "{Bayesian Active Search on Parameter Space: a 95 GeV Spin-0 Resonance in the ($B-L$)SSM}",
    eprint = "2404.18653",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2024"
}

% April 30, 2024
@article{Bai:2024pii,
    author = "Bai, Yang and Chen, Ting-Kuo",
    title = "{Flow-based Nonperturbative Simulation of First-order Phase Transitions}",
    eprint = "2404.18323",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "4",
    year = "2024"
}

% April 30, 2024
@article{LopesCardoso:2024tol,
    author = "Lopes Cardoso, Gabriel and Mayorga Pe\~na, Dami\'an and Nampuri, Suresh",
    title = "{Classical integrability in the presence of a cosmological constant: analytic and machine learning results}",
    eprint = "2404.18247",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "4",
    year = "2024"
}

% April 30, 2024
@article{Jiang:2024bwr,
    author = "Jiang, Cheng and Qian, Sitian and Qu, Huilin",
    title = "{BUFF: Boosted Decision Tree based Ultra-Fast Flow matching}",
    eprint = "2404.18219",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "4",
    year = "2024"
}

% April 26, 2024
@article{Mikuni:2024qsr,
    author = "Mikuni, Vinicius and Nachman, Benjamin",
    title = "{OmniLearn: A Method to Simultaneously Facilitate All Jet Physics Tasks}",
    eprint = "2404.16091",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2024"
}

% April 26, 2024
@article{Bierlich:2024vqo,
    author = "Bierlich, Christian and Buckley, Andy and Butterworth, Jonathan and Gutschow, Christian and Lonnblad, Leif and Procter, Tomasz and Richardson, Peter and Yeh, Yoran",
    title = "{Robust Independent Validation of Experiment and Theory: Rivet version 4 release note}",
    eprint = "2404.15984",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MCNET-24-05",
    month = "4",
    year = "2024"
}

% April 26, 2024
@article{Bhardwaj:2024wrf,
    author = "Bhardwaj, Akanksha and Konar, Partha and Ngairangbam, Vishal S.",
    title = "{Foundations of automatic feature extraction at LHC--point clouds and graphs}",
    eprint = "2404.16207",
    journal="Eur.Phys.J.ST",
    doi="10.1140/epjs/s11734-024-01306-z",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IPPP/24/22",
    month = "4",
    year = "2024"
}

% April 24, 2024
@article{Ochoa-Oregon:2024zgm,
    author = "Ochoa-Oregon, Salvador A. and Renter\'\i{}a-Estrada, David F. and Hern\'andez-Pinto, Roger J. and Sborlini, German F. R. and Zurita, Pia",
    title = "{Using analytic models to describe effective PDFs}",
    eprint = "2404.15175",
    journal="Phys.Rev.D",
    volume="110",
    pages="036019",
    doi="10.1103/PhysRevD.110.036019",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IPARCOS-UCM-24-023",
    month = "4",
    year = "2024"
}

% April 23, 2024
@article{Shmakov:2024gkd,
    author = "Shmakov, Alexander and Greif, Kevin and Fenton, Michael James and Ghosh, Aishik and Baldi, Pierre and Whiteson, Daniel",
    title = "{Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion}",
    eprint = "2404.14332",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "4",
    year = "2024"
}

% April 22, 2024
@article{ATLAS:2024auw,
    author = "{ATLAS Collaboration}",
    title = "{Search for a resonance decaying into a scalar particle and a Higgs boson in the final state with two bottom quarks and two photons in proton-proton collisions at a center of mass energy of 13 TeV with the ATLAS detector}",
    eprint = "2404.12915",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CERN-EP-2024-072",
    month = "4",
    year = "2024"
}

% April 19, 2024
@article{Keita:2024skh,
    author = "Keita, Kaniba Mady",
    title = "{On Machine Learning Complete Intersection Calabi-Yau 3-folds}",
    eprint = "2404.11710",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "4",
    year = "2024"
}

% April 18, 2024
@article{Ahmed:2024uaz,
    author = "Ahmed, Ijaz and Swalheen, Sidra and Rehman, Mansoor Ur and Tariq, Rimsha",
    title = "{Magnetic Monopole Phenomenology at Future Hadron Colliders}",
    eprint = "2404.10871",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2024"
}

% April 18, 2024
@article{Cushman:2024jgi,
    author = "Cushman, P. B. and Fritts, M. C. and Chambers, A. D. and Roy, A. and Li, T.",
    title = "{Strategies for Machine Learning Applied to Noisy HEP Datasets: Modular Solid State Detectors from SuperCDMS}",
    eprint = "2404.10971",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "4",
    year = "2024"
}

% April 18, 2024
@article{Abbott:2024knk,
    author = "Abbott, Ryan and Albergo, Michael S. and Boyda, Denis and Hackett, Daniel C. and Kanwar, Gurtej and Romero-L\'opez, Fernando and Shanahan, Phiala E. and Urban, Julian M.",
    title = "{Multiscale Normalizing Flows for Gauge Theories}",
    eprint = "2404.10819",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    reportNumber = "MIT-CTP/5666, FERMILAB-CONF-24-0008-T",
    doi = "10.22323/1.453.0035",
    journal = "PoS",
    volume = "LATTICE2023",
    pages = "035",
    year = "2024"
}

% April 17, 2024
@article{Goswami:2024xrx,
    author = "Goswami, Kangkan and Prasad, Suraj and Mallick, Neelkamal and Sahoo, Raghunath and Mohanty, Gagan B.",
    title = "{A machine learning-based study of open-charm hadrons in proton-proton collisions at the Large Hadron Collider}",
    eprint = "2404.09839",
    journal="Phys.Rev.D",
    volume="110",
    pages="034017",
    doi="10.1103/PhysRevD.110.034017",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2024"
}

% April 15, 2024
@article{Zhang:2024kws,
    author = "Zhang, Zhengde and others",
    title = "{Xiwu: A Basis Flexible and Learnable LLM for High Energy Physics}",
    eprint = "2404.08001",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2024"
}

% April 15, 2024
@article{CMS:2024fkb,
    author = "{CMS Collaboration}",
    title = "{Search for Higgs Boson Pair Production with One Associated Vector Boson in Proton-Proton Collisions at $\sqrt{s}$ = 13 TeV}",
    eprint = "2404.08462",
    journal="JHEP",
    volume="10",
    pages="061",
    doi="10.1007/JHEP10(2024)061",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CMS-HIG-22-006, CERN-EP-2024-064",
    month = "4",
    year = "2024"
}

% April 12, 2024
@article{Kasieczka:2024lxf,
    author = "Kasieczka, Gregor and Raine, John Andrew and Shih, David and Upadhyay, Aman",
    title = "{Complete Optimal Non-Resonant Anomaly Detection}",
    eprint = "2404.07258",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2024"
}

% April 12, 2024
@article{Soleymaninia:2024jam,
    author = "Soleymaninia, Maryam and Hashamipour, Hadi and Salajegheh, Maral and Khanpour, Hamzeh and Spiesberger, Hubert and Mei\ss{}ner, Ulf-G.",
    title = "{Determination of $K^0_S$ Fragmentation Functions including BESIII Measurements and using Neural Networks}",
    eprint = "2404.07334",
    journal="Phys.Rev.D",
    volume="110",
    pages="014019",
    doi="10.1103/PhysRevD.110.014019",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2024"
}

% April 12, 2024
@article{Lieberman:2024hga,
    author = "Lieberman, Benjamin and Crivellin, Andreas and Dahbi, Salah-Eddine and Stevenson, Finn and Tripathi, Nidhi and Kumar, Mukesh and Mellado, Bruce",
    title = "{Trials Factor for Semi-Supervised NN Classifiers in Searches for Narrow Resonances at the LHC}",
    eprint = "2404.07822",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "ICPP-80",
    month = "4",
    year = "2024"
}

% April 10, 2024
@article{Fanelli:2024ktq,
    author = "Fanelli, Cristiano and Giroux, James and Moran, Patrick and Nayak, Hemalata and Suresh, Karthik and Walter, Eric",
    title = "{Physics Event Classification Using Large Language Models}",
    eprint = "2404.05752",
    journal="JINST",
    volume="19",
    pages="C07011",
    doi="10.1088/1748-0221/19/07/C07011",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "4",
    year = "2024"
}

% April 09, 2024
@article{Choudhury:2024mox,
    author = "Choudhury, Debajyoti and Deka, Kuldeep and Saini, Lalit Kumar",
    title = "{Boosted four-top production at the LHC : a window to Randall-Sundrum or extended color symmetry}",
    eprint = "2404.04409",
    journal="Phys.Rev.D",
    volume="110",
    pages="075020",
    doi="10.1103/PhysRevD.110.075020",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2024"
}

% April 09, 2024
@article{Bertone:2024taw,
    author = "Bertone, Valerio and Chiefa, Amedeo and Nocera, Emanuele R.",
    collaboration = "MAP",
    title = "{Helicity-dependent parton distribution functions at next-to-next-to-leading order accuracy from inclusive and semi-inclusive deep-inelastic scattering data}",
    eprint = "2404.04712",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2024"
}

% April 05, 2024
@article{Riehn:2024prp,
    author = "Riehn, Felix and Fedynitch, Anatoli and Engel, Ralph",
    title = "{Sibyll★}",
    eprint = "2404.02636",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1016/j.astropartphys.2024.102964",
    journal = "Astropart. Phys.",
    volume = "160",
    pages = "102964",
    year = "2024"
}

% April 04, 2024
@inproceedings{Hirvonen:2024ycx,
    author = "Hirvonen, H. and Eskola, K. J. and Niemi, H.",
    title = "{Deep learning for flow observables in high energy heavy-ion collisions}",
    booktitle = "{30th International Conference on Ultrarelativstic Nucleus-Nucleus Collisions}",
    eprint = "2404.02602",
    journal="EPJ Web Conf.",
    volume="296",
    pages="02002",
    doi="10.1051/epjconf/202429602002",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2024"
}

% April 04, 2024
@article{Baruah:2024gwy,
    author = "Baruah, Rajneil and Mondal, Subhadeep and Patra, Sunando Kumar and Roy, Satyajit",
    title = "{Probing intractable beyond-standard-model parameter spaces armed with Machine Learning}",
    eprint = "2404.02698",
    journal="Eur.Phys.J.ST",
    doi="10.1140/epjs/s11734-024-01236-w",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2024"
}


% April 03, 2024
@article{Mondal:2024nsa,
    author = "Mondal, Spandan and Mastrolorenzo, Luca",
    title = "{Machine Learning in High Energy Physics: A review of heavy-flavor jet tagging at the LHC}",
    eprint = "2404.01071",
    doi="10.1140/epjs/s11734-024-01234-y",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "4",
    year = "2024"
}

% April 02, 2024
@article{Malekhosseini:2024eot,
    author = "Malekhosseini, M. and Rostami, S. and Olamaei, A. R. and Ostovar, R. and Azizi, K.",
    title = "{Meson mass and width: Deep learning approach}",
    eprint = "2404.00448",
    journal="Phys.Rev.D",
    volume="110",
    pages="054011",
    doi="10.1103/PhysRevD.110.054011",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2024"
}

% April 02, 2024
@inproceedings{BarhamAlzas:2024ggt,
    author = "Barham Alz\'as, Pablo and Radev, Radi",
    title = "{Differentiable nuclear deexcitation simulation for low energy neutrino physics}",
    booktitle = "{Prospects in Neutrinos Physics}",
    eprint = "2404.00180",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "3",
    year = "2024"
}

% April 01, 2024
@article{Ahmed:2024oxg,
    author = "Ahmed, Ijaz and Quddus, Abdul and Muhammad, Jamil and Shoaib, Muhammad and Shafaq, Saba",
    title = "{Probing Heavy Charged Higgs Boson Using Multivariate Technique at Gamma-Gamma Collider}",
    eprint = "2403.20293",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2024"
}

% March 29, 2024
@article{Ivanov:2024whr,
    author = "Ivanov, Marian and Ivanov, Marian and Eulisse, Giulio",
    title = "{RootInteractive tool for multidimensional statistical analysis, machine learning and analytical model validation}",
    eprint = "2403.19330",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.1051/epjconf/202429506019",
    journal = "EPJ Web Conf.",
    volume = "295",
    pages = "06019",
    year = "2024"
}

% March 29, 2024
@article{Hou:2024vtx,
    author = "Hou, Pengcheng and Wang, Tao and Cerkoney, Daniel and Cai, Xiansheng and Li, Zhiyi and Deng, Youjin and Wang, Lei and Chen, Kun",
    title = "{Feynman Diagrams as Computational Graphs}",
    eprint = "2403.18840",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "3",
    year = "2024"
}

% March 28, 2024
@article{Co:2024bfl,
    author = "Co, Darwin Alexander O. and Chavez, Vince Angelo A. and Sombillo, Denny Lane B.",
    title = "{A Deep Learning Framework for Disentangling Triangle Singularity and Pole-Based Enhancements}",
    eprint = "2403.18265",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2024"
}

% March 28, 2024
@article{Daumann:2024kfd,
    author = {Daumann, Caio Cesar and Donega, Mauro and Erdmann, Johannes and Galli, Massimiliano and Sp\"ah, Jan Lukas and Valsecchi, Davide},
    title = "{One flow to correct them all: improving simulations in high-energy physics with a single normalising flow and a switch}",
    eprint = "2403.18582",
    journal="Comput.Softw.Big Sci.",
    volume="8",
    pages="15",
    doi="10.1007/s41781-024-00125-0",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2024"
}

% March 27, 2024
@inproceedings{Karwowska:2024xqy,
    author = "{ALICE Collaboration}",
    title = "{Particle identification with machine learning from incomplete data in the ALICE experiment}",
    booktitle = "{Artificial Intelligence for the Electron Ion Collider}",
    eprint = "2403.17436",
    journal="JINST",
    volume="19",
    pages="C07013",
    doi="10.1088/1748-0221/19/07/C07013",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "3",
    year = "2024"
}

% March 26, 2024
@article{Ghrear:2024rku,
    author = "Ghrear, Majd and Sadowski, Peter and Vahsen, Sven Einar",
    title = "{Deep Probabilistic Direction Prediction in 3D with Applications to Directional Dark Matter Detectors}",
    eprint = "2403.15949",
    journal="Mach.Learn.Sci.Tech.",
    volume="5",
    pages="035009",
    doi="10.1088/2632-2153/ad5f13",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "3",
    year = "2024"
}

% March 26, 2024
@article{Balduf:2024gvv,
    author = "Balduf, Paul-Hermann and Shaban, Kimia",
    title = "{Predicting Feynman periods in $\phi^4$-theory}",
    eprint = "2403.16217",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "3",
    year = "2024"
}

% March 26, 2024
@article{Schnake:2024mip,
    author = {Schnake, Simon and Kr\"ucker, Dirk and Borras, Kerstin},
    title = "{CaloPointFlow II Generating Calorimeter Showers as Point Clouds}",
    eprint = "2403.15782",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "3",
    year = "2024"
}

% March 25, 2024
@article{Bea:2024xgv,
    author = "Bea, Yago and Jimenez, Raul and Mateos, David and Liu, Shuheng and Protopapas, Pavlos and Taranc\'on-\'Alvarez, Pedro and Tejerina-P\'erez, Pablo",
    title = "{Gravitational Duals from Equations of State}",
    eprint = "2403.14763",
    journal="JHEP",
    volume="07",
    pages="087",
    doi="10.1007/JHEP07(2024)087",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "3",
    year = "2024"
}

% March 25, 2024
@inproceedings{Kelleher:2024jsh,
    author = "Kelleher, Rowan and Vossen, Anselm",
    title = "{Normalizing Flows for Domain Adaptation when Identifying $\Lambda$ Hyperon Events}",
    eprint = "2403.14804",
    journal="JINST",
    volume="19",
    pages="C06020",
    doi="10.1088/1748-0221/19/06/C06020",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "3",
    year = "2024"
}

% March 22, 2024
@inproceedings{Kelleher:2024rmb,
    author = "Kelleher, Rowan and McEneaney, Matthew and Vossen, Anselm",
    title = "{Improving $\Lambda$ Signal Extraction with Domain Adaptation via Normalizing Flows}",
    booktitle = "{25th International Spin Symposium}",
    eprint = "2403.14076",
    journal="PoS",
    volume="SPIN2023",
    pages="043",
    doi="10.22323/1.456.0043",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "3",
    year = "2024"
}

% March 22, 2024
@article{Orman:2024mpw,
    author = "Orman, Patrick and Gharibyan, Hrant and Preskill, John",
    title = "{Quantum chaos in the sparse SYK model}",
    eprint = "2403.13884",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "3",
    year = "2024"
}

% March 22, 2024
@article{Britton:2024pdy,
    author = "Britton, Thomas and Goodrich, Michael and Jarvis, Naomi and Jeske, Torri and Kalra, Nikhil and Lawrence, David and McSpadden, Diana and Rajput, Kishan",
    title = "{ML-based Calibration and Control of the GlueX Central Drift Chamber}",
    eprint = "2403.13823",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "3",
    year = "2024"
}

% March 22, 2024
@mastersthesis{Kuh:2024lgx,
    author = "Hashemi, Baran",
    title = "{Deep Generative Models for Ultra-High Granularity Particle Physics Detector Simulation: A Voyage From Emulation to Extrapolation}",
    eprint = "2403.13825",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    type = "Other thesis",
    month = "3",
    year = "2024"
}

% March 21, 2024
@article{Bardhan:2024zla,
    author = "Bardhan, Jai and Mandal, Tanumoy and Mitra, Subhadip and Neeraj, Cyrin and Patra, Monalisa",
    title = "{Unsupervised and lightly supervised learning in particle physics}",
    eprint = "2403.13676",
    doi="10.1140/epjs/s11734-024-01235-x",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2024"
}

% March 21, 2024
@inproceedings{Guiang:2024qzk,
    author = "Guiang, Jonathan and others",
    title = "{Improving tracking algorithms with machine learning: a case for line-segment tracking at the High Luminosity LHC}",
    booktitle = "{Connecting The Dots 2023}",
    eprint = "2403.13166",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "3",
    year = "2024"
}

% March 20, 2024
@article{Sahu:2024sts,
    author = "Sahu, Rameswar",
    title = "{CapsLorentzNet: Integrating Physics Inspired Features with Graph Convolution}",
    eprint = "2403.11826",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2024"
}

% March 20, 2024
@article{Kheddar:2024osf,
    author = "Kheddar, Hamza and Himeur, Yassine and Amira, Abbes and Soualah, Rachik",
    title = "{High-energy physics image classification: A Survey of Jet Applications}",
    eprint = "2403.11934",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2024"
}

% March 20, 2024
@article{Aurisano:2024uvd,
    author = "Aurisano, A. and Hewes, V. and Cerati, G. and Kowalkowski, J. and Lee, C. S. and Liao, W. and Grzenda, D. and Gumpula, K. and Zhang, X.",
    title = "{NuGraph2: A Graph Neural Network for Neutrino Physics Event Reconstruction}",
    eprint = "2403.11872",
    journal="Phys.Rev.D",
    volume="110",
    pages="032008",
    doi="10.1103/PhysRevD.110.032008",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    reportNumber = "FERMILAB-PUB-24-0118-CSAID-ETD",
    month = "3",
    year = "2024"
}

% March 19, 2024
@article{Hashimoto:2024aga,
    author = "Hashimoto, Koji and Hirono, Yuji and Maeda, Jun and Totsuka-Yoshinaka, Jojiro",
    title = "{Neural network representation of quantum systems}",
    eprint = "2403.11420",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    reportNumber = "KUNS-2996",
    month = "3",
    year = "2024"
}

% March 15, 2024
@article{Gambhir:2024dtf,
    author = "Gambhir, Rikab and Osathapan, Athis and Thaler, Jesse",
    title = "{Moments of Clarity: Streamlining Latent Spaces in Machine Learning using Moment Pooling}",
    eprint = "2403.08854",
    journal="Phys.Rev.D",
    volume="110",
    pages="074020",
    doi="10.1103/PhysRevD.110.074020",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MIT-CTP 5689",
    month = "3",
    year = "2024"
}

% March 15, 2024
@article{ATLAS:2024fdw,
    author = "{ATLAS Collaboration}",
    title = "{Exploration at the high-energy frontier: ATLAS Run 2 searches investigating the exotic jungle beyond the Standard Model}",
    eprint = "2403.09292",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CERN-EP-2024-075",
    month = "3",
    year = "2024"
}

% March 13, 2024
@article{Harris:2024sra,
    author = "Harris, Philip and Kagan, Michael and Krupa, Jeffrey and Maier, Benedikt and Woodward, Nathaniel",
    title = "{Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models}",
    eprint = "2403.07066",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2024"
}

% March 13, 2024
@article{Catena:2024fjn,
    author = "Catena, Riccardo and Urdshals, Einar",
    title = "{Dark Matter-induced electron excitations in silicon and germanium with Deep Learning}",
    eprint = "2403.07053",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2024"
}

% March 12, 2024
@article{Birk:2024knn,
    author = "Birk, Joschka and Hallin, Anna and Kasieczka, Gregor",
    title = "{OmniJet-$\alpha$: The first cross-task foundation model for particle physics}",
    eprint = "2403.05618",
    journal="Mach.Learn.Sci.Tech.",
    volume="5",
    pages="035031",
    doi="10.1088/2632-2153/ad66ad",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2024"
}

% March 12, 2024
@article{Lazar:2024luq,
    author = {Lazar, Jeffrey and Olavarrieta, Santiago Giner and Gatti, Giancarlo and Arg\"uelles, Carlos A. and Sanz, Mikel},
    title = "{New Pathways in Neutrino Physics via Quantum-Encoded Data Analysis}",
    eprint = "2402.19306",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "3",
    year = "2024"
}

% March 11, 2024
@article{Chang:2024ksq,
    author = "Chang, Wen-Bin and Hou, De-fu",
    title = "{Heavy quarkonium spectral function in an anisotropic background}",
    eprint = "2403.04966",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1103/PhysRevD.109.086010",
    journal = "Phys. Rev. D",
    volume = "109",
    number = "8",
    pages = "086010",
    month = "3",
    year = "2024"
}

% March 11, 2024
@article{Chen:2024rna,
    author = "Chen, Yi-An and Chen, Kai-Feng",
    title = "{Jet Discrimination with Quantum Complete Graph Neural Network}",
    eprint = "2403.04990",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2024"
}

% March 11, 2024
@article{ATLAS:2024ett,
    author = "{ATLAS Collaboration}",
    title = "{Observation of electroweak production of $W^+W^-$ in association with jets in proton-proton collisions at $\sqrt{s}=13$ TeV with the ATLAS Detector}",
    eprint = "2403.04869",
    journal="JHEP",
    volume="07",
    pages="254",
    doi="10.1007/JHEP07(2024)254",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CERN-EP-2024-015",
    month = "3",
    year = "2024"
}

% March 11, 2024
@article{Bat:2024gln,
    author = "Bat, Ayse",
    title = "{Using machine learning to separate Cherenkov and scintillation light in hybrid neutrino detector}",
    eprint = "2403.05184",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    doi = "10.1088/1748-0221/19/04/P04027",
    journal = "JINST",
    volume = "19",
    number = "04",
    pages = "P04027",
    year = "2024"
}

% March 08, 2024
@article{Gavalian:2024icb,
    author = "Gavalian, Gagik",
    title = "{Real-Time Charged Track Reconstruction for CLAS12}",
    eprint = "2403.04020",
    journal="JINST",
    volume="19",
    pages="C05050",
    doi="10.1088/1748-0221/19/05/C05050",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "3",
    year = "2024"
}

% March 08, 2024
@article{CALICE:2024imr,
    author = "{ALICE Collaboration}",
    title = "{Software Compensation for Highly Granular Calorimeters using Machine Learning}",
    eprint = "2403.04632",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    doi = "10.1088/1748-0221/19/04/P04037",
    journal = "JINST",
    volume = "19",
    pages = "P04037",
    year = "2024"
}

% March 07, 2024
@article{Lanza:2024mqp,
    author = "Lanza, Stefano",
    title = "{Neural Network Learning and Quantum Gravity}",
    eprint = "2403.03245",
    journal="JHEP",
    volume="07",
    pages="105",
    doi="10.1007/JHEP07(2024)105",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "3",
    year = "2024"
}


% March 06, 2024
@article{Bhattacharya:2024sxl,
    author = "Bhattacharya, Subhaditya and Sarkar, Abhik and Biswas, Sanjoy",
    title = "{Higgs couplings in SMEFT via Zh production at the HL-LHC}",
    eprint = "2403.03001",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2024"
}

% February 28, 2024
@article{Pfeffer:2024tjl,
    author = "Pfeffer, Emanuel and Wa\ss{}mer, Michael and Cung, Yee-Ying and Wolf, Roger and Husemann, Ulrich",
    title = "{A case study of sending graph neural networks back to the test bench for applications in high-energy particle physics}",
    eprint = "2402.17386",
    journal="Comput.Softw.Big Sci.",
    volume="8",
    pages="13",
    doi="10.1007/s41781-024-00122-3",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "2",
    year = "2024"
}

% February 28, 2024
@article{Tian:2024yfz,
    author = "Tian, Zhefei and Zhao, Guang and Wu, Linghui and Zhang, Zhenyu and Zhou, Xiang and Xin, Shuiting and Liu, Shuaiyi and Li, Gang and Dong, Mingyi and Sun, Shengsen",
    title = "{Cluster Counting Algorithm for the CEPC Drift Chamber using LSTM and DGCNN}",
    eprint = "2402.16493",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "2",
    year = "2024"
}

% February 28, 2024
@article{Belle-II:2024lwr,
    author = "{Belle-II Collaboration}",
    title = "{A new graph-neural-network flavor tagger for Belle II and measurement of $\sin 2\phi_1$ in $B^0 \to J/\psi K^0_\text{S}$ decays}",
    eprint = "2402.17260",
    journal="Phys.Rev.D",
    volume="110",
    pages="012001",
    doi="10.1103/PhysRevD.110.012001",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "Belle II Preprint 2024-006, KEK Preprint 2023-53",
    month = "2",
    year = "2024"
}

% February 27, 2024
@article{Bieringer:2024pzt,
    author = "Bieringer, Sebastian and Kasieczka, Gregor and Kieseler, Jan and Trabs, Mathias",
    title = "{Classifier Surrogates: Sharing AI-based Searches with the World}",
    eprint = "2402.15558",
    journal="Eur.Phys.J.C",
    volume="84",
    pages="972",
    doi="10.1140/epjc/s10052-024-13353-w",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "2",
    year = "2024"
}

% February 27, 2024
@article{CMS:2024trg,
    author = "{CMS Collaboration}",
    title = "{Search for long-lived particles using displaced vertices and missing transverse momentum in proton-proton collisions at $\sqrt{s}$ = 13 TeV}",
    eprint = "2402.15804",
    journal="Phys.Rev.D",
    volume="109",
    pages="112005",
    doi="10.1103/PhysRevD.109.112005",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CMS-EXO-22-020, CERN-EP-2024-031",
    month = "2",
    year = "2024"
}

% February 27, 2024
@article{Hashmani:2024ykk,
    author = {Hashmani, Raheem Karim and Akba\c{s}, Emre and Demirk\"oz, Melahat Bilge},
    title = "{A Comparison of Deep Learning Models for Proton Background Rejection with the AMS Electromagnetic Calorimeter}",
    eprint = "2402.16285",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "2",
    year = "2024"
}

% February 27, 2024
@article{Zhao:2024ely,
    author = "Zhao, Guang and Wu, Linghui and Grancagnolo, Francesco and De Filippis, Nicola and Dong, Mingyi and Sun, Shengsen",
    title = "{Peak finding algorithm for cluster counting with domain adaptation}",
    eprint = "2402.16270",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    doi = "10.1016/j.cpc.2024.109208",
    journal = "Comput. Phys. Commun.",
    volume = "300",
    pages = "109208",
    year = "2024"
}

% February 26, 2024
@article{Bahr:2024dzg,
    author = {B\"ahr, S. and others},
    title = "{The Neural Network First-Level Hardware Track Trigger of the Belle II Experiment}",
    eprint = "2402.14962",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "2",
    year = "2024"
}

% February 26, 2024
@article{CMS:2024twn,
    author = "{CMS Collaboration}",
    title = "{Portable acceleration of CMS computing workflows with coprocessors as a service}",
    eprint = "2402.15366",
    journal="Comput.Softw.Big Sci.",
    volume="8",
    pages="17",
    doi="10.1007/s41781-024-00124-1",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "CMS-MLG-23-001, CERN-EP-2023-303",
    month = "2",
    year = "2024"
}

% February 22, 2024
@article{Vaselli:2024vrx,
    author = "Vaselli, Francesco and Cattafesta, Filippo and Asenov, Patrick and Rizzi, Andrea",
    title = "{End-to-end simulation of particle physics events with Flow Matching and generator Oversampling}",
    eprint = "2402.13684",
    journal="Mach.Learn.Sci.Tech.",
    volume="5",
    pages="035007",
    doi="10.1088/2632-2153/ad563c",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "2",
    year = "2024",
    doi = "10.1088/2632-2153/ad563c",
    journal = "Mach. Learn.: Sci. Technol.",
    volume = "5",
    number = "3",
    pages = "035007"
}

% February 22, 2024
@article{Gukov:2024buj,
    author = "Gukov, Sergei and Halverson, James and Ruehle, Fabian",
    title = "{Rigor with machine learning from field theory to the Poincar\'e conjecture}",
    eprint = "2402.13321",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    doi = "10.1038/s42254-024-00709-0",
    journal = "Nature Rev. Phys.",
    volume = "6",
    number = "5",
    pages = "310--319",
    year = "2024"
}

% February 21, 2024
@article{Bhardwaj:2024djv,
    author = "Bhardwaj, Akanksha and Englert, Christoph and Naskar, Wrishik and Ngairangbam, Vishal S. and Spannowsky, Michael",
    title = "{Equivariant, Safe and Sensitive -- Graph Networks for New Physics}",
    eprint = "2402.12449",
    journal="JHEP",
    volume="07",
    pages="245",
    doi="10.1007/JHEP07(2024)245",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IPPP/24/07",
    month = "2",
    year = "2024"
}

% February 21, 2024
@mastersthesis{Eschle:2024epz,
    author = "Eschle, Jonas",
    title = "{Studies on $R_K$ with Large Dilepton Invariant-Mass, Scalable Pythonic Fitting, and Online Event Interpretation with GNNs at LHCb}",
    eprint = "2402.12622",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CERN-THESIS-2024-036",
    type = "Other thesis",
    school = "2024-01-24",
    month = "1",
    year = "2024"
}

% February 21, 2024
@article{Matousek:2024vpa,
    author = "Matousek, Gregory and Vossen, Anselm",
    title = "{Photon Classification with Gradient Boosted Trees at CLAS12}",
    eprint = "2402.13105",
    journal="JINST",
    volume="19",
    pages="C06006",
    doi="10.1088/1748-0221/19/06/C06006",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "2",
    year = "2024"
}

% February 20, 2024
@article{Lu:2024ict,
    author = "Lu, Junjian and Liu, Siwei and Kobylianski, Dmitrii and Dreyer, Etienne and Gross, Eilam and Liang, Shangsong",
    title = "{PASCL: Supervised Contrastive Learning with Perturbative Augmentation for Particle Decay Reconstruction}",
    eprint = "2402.11538",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "2",
    year = "2024"
}

% February 20, 2024
@article{Mengel:2024fcl,
    author = "Mengel, Tanner and Steffanic, Patrick and Hughes, Charles and Da Silva, Antonio Carlos Oliveira and Nattrass, Christine",
    title = "{Multiplicity Based Background Subtraction for Jets in Heavy Ion Collisions}",
    eprint = "2402.10945",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "2",
    year = "2024"
}

% February 20, 2024
@article{Kobylianskii:2024ijw,
    author = "Kobylianskii, Dmitrii and Soybelman, Nathalie and Dreyer, Etienne and Gross, Eilam",
    title = "{CaloGraph: Graph-based diffusion model for fast shower generation in calorimeters with irregular geometry}",
    eprint = "2402.11575",
    journal="Phys.Rev.D",
    volume="110",
    pages="072003",
    doi="10.1103/PhysRevD.110.072003",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "2",
    year = "2024"
}

% February 20, 2024
@article{Finkenrath:2024tdp,
    author = "Finkenrath, Jacob",
    title = "{Fine grinding localized updates via gauge equivariant flows in the 2D Schwinger model}",
    eprint = "2402.12176",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    doi = "10.22323/1.453.0022",
    journal = "PoS",
    volume = "LATTICE2023",
    pages = "022",
    year = "2024"
}

% February 19, 2024
@inproceedings{Huang:2024voo,
    author = "Huang, Andris and Melkani, Yash and Calafiura, Paolo and Lazar, Alina and Murnane, Daniel Thomas and Pham, Minh-Tuan and Ju, Xiangyang",
    title = "{A Language Model for Particle Tracking}",
    booktitle = "{Connecting The Dots 2023}",
    eprint = "2402.10239",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "PROC-CTD2023-33",
    month = "2",
    year = "2024"
}

% February 16, 2024
@article{Birch-Sykes:2024gij,
    author = "Birch-Sykes, Callum and Le, Brian and Peters, Yvonne and Simpson, Ethan and Zhang, Zihan",
    title = "{Reconstruction of Short-Lived Particles using Graph-Hypergraph Representation Learning}",
    eprint = "2402.10149",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "2",
    year = "2024"
}

% February 15, 2024
@article{vanBeekveld:2024cby,
    author = "van Beekveld, Melissa and Beenakker, Wim and Kip, Jochem and Schutten, Marrit and van Vlijmen, Dirren",
    title = "{The impact of CP-violating phases on DM observables in the cpMSSM}",
    eprint = "2402.08814",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "2",
    year = "2024"
}

% February 14, 2024
@article{Alvarez:2024owq,
    author = "Alvarez, Ezequiel and Da Rold, Leandro and Szewc, Manuel and Szynkman, Alejandro and Tanco, Santiago A. and Tarutina, Tatiana",
    title = "{Improvement and generalization of ABCD method with Bayesian inference}",
    eprint = "2402.08001",
    journal="SciPost Phys.Core",
    volume="7",
    pages="043",
    doi="10.21468/SciPostPhysCore.7.3.043",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "2",
    year = "2024"
}

% February 14, 2024
@article{Barman:2024xlc,
    author = "Barman, Rahool Kumar and B\'elanger, Genevieve and Bhattacherjee, Biplob and Godbole, Rohini and Sengupta, Rhitaja",
    title = "{Current status of the light neutralino thermal dark matter in the phenomenological MSSM}",
    eprint = "2402.07991",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "2",
    year = "2024"
}

% February 13, 2024
@article{Kim:2024rpd,
    author = "Kim, Jangho and Pederiva, Giovanni and Shindler, Andrea",
    title = "{Machine learning mapping of lattice correlated data}",
    eprint = "2402.07450",
    journal="Phys.Lett.B",
    volume="856",
    pages="138894",
    doi="10.1016/j.physletb.2024.138894",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "2",
    year = "2024"
}


% February 12, 2024
@article{Romao:2024gjx,
    author = "Rom\~ao, Jorge Crispim and Crispim Rom\~ao, Miguel",
    title = "{Combining evolutionary strategies and novelty detection to go beyond the alignment limit of the Z3 3HDM}",
    eprint = "2402.07661",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IPPP/24/04, CFTP/24-002",
    doi = "10.1103/PhysRevD.109.095040",
    journal = "Phys. Rev. D",
    volume = "109",
    number = "9",
    pages = "095040",
    year = "2024"
}


% February 12, 2024
@article{Lin:2024eiz,
    author = "Lin, Joshua and Luo, Di and Yao, Xiaojun and Shanahan, Phiala E.",
    title = "{Real-time Dynamics of the Schwinger Model as an Open Quantum System with Neural Density Operators}",
    eprint = "2402.06607",
    journal="JHEP",
    volume="06",
    pages="211",
    doi="10.1007/JHEP06(2024)211",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MIT-CTP/5679,IQuS@UW-21-073",
    month = "2",
    year = "2024"
}

% February 12, 2024
@article{Bonanno:2024udh,
    author = "Bonanno, Claudio and Nada, Alessandro and Vadacchino, Davide",
    title = "{Mitigating topological freezing using out-of-equilibrium simulations}",
    eprint = "2402.06561",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    doi = "10.1007/JHEP04(2024)126",
    journal = "JHEP",
    volume = "04",
    pages = "126",
    year = "2024"
}

% February 07, 2024
@article{Chu:2024swv,
    author = "Chu, Min-Huan and Lai, Jun-Hui and Wang, Wei and Zhang, Jialu and Zhu, Qianteng",
    title = "{Lattice simulation of $SU(2)$ dark glueball with machine learning}",
    eprint = "2402.03959",
    journal="Chin.Phys.C",
    volume="48",
    pages="083108",
    doi="10.1088/1674-1137/ad4e24",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "2",
    year = "2024"
}

% February 06, 2024
@article{Costantini:2024xae,
    author = "Costantini, Mark N. and Hammou, Elie and Kassabov, Zahari and Madigan, Maeve and Mantani, Luca and Morales Alvarado, Manuel and Moore, James M. and Ubiali, Maria",
    title = "{SIMUnet: an open-source tool for simultaneous global fits of EFT Wilson coefficients and PDFs}",
    eprint = "2402.03308",
    journal="Eur.Phys.J.C",
    volume="84",
    pages="805",
    doi="10.1140/epjc/s10052-024-13079-9",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "2",
    year = "2024"
}

% February 06, 2024
@article{Odagiu:2024bkp,
    author = "Odagiu, Patrick and others",
    title = "{Sets are All You Need: Ultrafast Jet Classification on FPGAs for HL-LHC}",
    eprint = "2402.01876",
    journal="Mach.Learn.Sci.Tech.",
    volume="5",
    pages="035017",
    doi="10.1088/2632-2153/ad5f10",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "FERMILAB-PUB-24-0030-CMS-CSAID-PPD",
    month = "2",
    year = "2024"
}

% February 06, 2024
@mastersthesis{Kalaczynski:2024wxa,
    author = "Kalaczy\'nski, Piotr",
    title = "{The Measurement and Modelling of Cosmic Ray Muons at KM3NeT Detectors}",
    eprint = "2402.02620",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    type = "Other thesis",
    month = "2",
    year = "2024"
}

% February 06, 2024
@article{Zdybal:2024yzu,
    author = "Zdybal, Milosz and Kucharczyk, Marcin and Wolter, Marcin",
    title = "{Machine learning based event reconstruction for the MUonE experiment}",
    eprint = "2402.02913",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.7494/csci.2024.25.1.5690",
    journal = "Comput. Sci.",
    volume = "25",
    pages = "25--46",
    year = "2024"
}

% February 05, 2024
@article{Berman:2024pax,
    author = "Berman, David S. and Klinger, Marc S. and Stapleton, Alexander G.",
    title = "{NCoder -- A Quantum Field Theory approach to encoding data}",
    eprint = "2402.00944",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "2",
    year = "2024"
}

% February 05, 2024
@article{Constantin:2024yxh,
    author = "Constantin, Andrei and Fraser-Taliente, Cristofero S. and Harvey, Thomas R. and Lukas, Andre and Ovrut, Burt",
    title = "{Computation of Quark Masses from String Theory}",
    eprint = "2402.01615",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "2",
    year = "2024"
}

% February 05, 2024
@article{Shutt:2024che,
    author = "Shutt, Tom and others",
    title = "{GAMPix: a novel fine-grained, low-noise and ultra-low power pixelated charge readout for TPCs}",
    eprint = "2402.00902",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "1",
    year = "2024"
}

% January 31, 2024
@article{Boyle:2024nlh,
    author = "Boyle, Peter A.",
    title = "{Advances in algorithms for solvers and gauge generation}",
    eprint = "2401.16620",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "1",
    year = "2024"
}

% January 30, 2024
@article{Craig:2024rlv,
    author = "Craig, Nathaniel and Howard, Jessica N. and Li, Hancheng",
    title = "{Exploring Optimal Transport for Event-Level Anomaly Detection at the Large Hadron Collider}",
    eprint = "2401.15542",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "1",
    year = "2024"
}

% January 30, 2024
@article{Ai:2024mkl,
    author = "Ai, Xiaocong and Feng, William Y. and Hsu, Shih-Chieh and Li, Ke and Lu, Chih-Ting",
    title = "{Detecting highly collimated photon-jets from Higgs boson exotic decays with deep learning}",
    eprint = "2401.15690",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "1",
    year = "2024"
}

% January 30, 2024
@article{Lu:2024qrc,
    author = "Lu, Zejia and Chen, Xiang and Wu, Jiahui and Zhang, Yulei and Li, Liang",
    title = "{Application of Graph Neural Networks in Dark Photon Search with Visible Decays at Future Beam Dump Experiment}",
    eprint = "2401.15477",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.1007/978-981-97-0065-3_19",
    month = "1",
    year = "2024"
}

% January 30, 2024
@article{Mo:2024dru,
    author = "Mo, Cen and Zhang, Fuyudi and Li, Liang",
    title = "{Neutrino Reconstruction in TRIDENT Based on Graph Neural Network}",
    eprint = "2401.15324",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.1007/978-981-97-0065-3_20",
    month = "1",
    year = "2024"
}

% January 30, 2024
@inproceedings{Heinrich:2024tdf,
    author = "Heinrich, Lukas and Huth, Benjamin and Salzburger, Andreas and Wettig, Tilo",
    title = "{Combined track finding with GNN \& CKF}",
    eprint = "2401.16016",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "1",
    year = "2024"
}

% January 30, 2024
@article{Dooney:2024pvt,
    author = "Dooney, Tom and Curier, Lyana and Tan, Daniel and Lopez, Melissa and Van Den Broeck, Chris and Bromuri, Stefano",
    title = "{cDVGAN: One Flexible Model for Multi-class Gravitational Wave Signal and Glitch Generation}",
    eprint = "2401.16356",
    journal="Phys.Rev.D",
    volume="110",
    pages="022004",
    doi="10.1103/PhysRevD.110.022004",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "1",
    year = "2024"
}

% January 26, 2024
@article{Chiang:2024pho,
    author = "Chiang, Cheng-Wei and Hsieh, Feng-Yang and Hsu, Shih-Chieh and Low, Ian",
    title = "{Deep Learning to Improve the Sensitivity of Di-Higgs Searches in the $4b$ Channel}",
    eprint = "2401.14198",
    journal="JHEP",
    volume="09",
    pages="139",
    doi="10.1007/JHEP09(2024)139",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "1",
    year = "2024"
}

% January 25, 2024
@inproceedings{Gombas:2024rvw,
    author = "Gombas, Jason P. and Schwienhorst, Reinhard and Dong, Binbin and Fein, Jarrett",
    title = "{Using Machine Learning to Improve PDF Uncertainties}",
    booktitle = "{16th International Workshop on Top Quark Physics}",
    eprint = "2401.13050",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "1",
    year = "2024"
}

% January 25, 2024
@article{Gooding:2024wpi,
    author = "Gooding, James Andrew and Bozianu, Leon and Toapaxi, Carlos Cocha and Jawahar, Pratik and Olocco, Micol",
    title = "{The SMARTHEP European Training Network}",
    eprint = "2401.13484",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.1051/epjconf/202429508022",
    journal = "EPJ Web Conf.",
    volume = "295",
    pages = "08022",
    year = "2024"
}

% January 25, 2024
@article{Vigl:2024lat,
    author = "Vigl, Matthias and Hartman, Nicole and Heinrich, Lukas",
    title = "{Finetuning Foundation Models for Joint Analysis Optimization}",
    eprint = "2401.13536",
    journal="Mach.Learn.Sci.Tech.",
    volume="5",
    pages="025075",
    doi="10.1088/2632-2153/ad55a3",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "1",
    year = "2024"
}

% January 25, 2024
@article{ATLAS:2024rcx,
    author = "{ATLAS Collaboration}",
    title = "{Search for new phenomena with top-quark pairs and large missing transverse momentum using 140 fb$^{-1}$ of pp collision data at $ \sqrt{s} $ = 13 TeV with the ATLAS detector}",
    eprint = "2401.13430",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CERN-EP-2024-003",
    doi = "10.1007/JHEP03(2024)139",
    journal = "JHEP",
    volume = "03",
    pages = "139",
    year = "2024"
}

% January 25, 2024
@article{Jiang:2024ohg,
    author = "Jiang, Cheng and Qian, Sitian and Qu, Huilin",
    title = "{Choose Your Diffusion: Efficient and flexible ways to accelerate the diffusion model in fast high energy physics simulation}",
    eprint = "2401.13162",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "1",
    year = "2024"
}

% January 23, 2024
@article{Matchev:2024ash,
    author = "Matchev, Konstantin T. and Matcheva, Katia and Ramond, Pierre and Verner, Sarunas",
    title = "{Exploring the Truth and Beauty of Theory Landscapes with Machine Learning}",
    eprint = "2401.11513",
    journal="Phys.Lett.B",
    volume="856",
    pages="138941",
    doi="10.1016/j.physletb.2024.138941",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "1",
    year = "2024"
}

% January 23, 2024
@article{DallOlio:2024vjv,
    author = "Dall'Olio, P. and De Soto, F. and Mezrag, C. and Morgado Ch\'avez, J. M. and Moutarde, H. and Rodr\'\i{}guez-Quintero, J. and Sznajder, P. and Segovia, J.",
    title = "{Unraveling generalized parton distributions through Lorentz symmetry and partial DGLAP knowledge}",
    eprint = "2401.12013",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1103/PhysRevD.109.096013",
    journal = "Phys. Rev. D",
    volume = "109",
    number = "9",
    pages = "096013",
    year = "2024"
}

% January 23, 2024
@inproceedings{Hirst:2024abn,
    author = "Hirst, Edward",
    title = "{Calabi-Yau Links and Machine Learning}",
    eprint = "2401.11550",
    journal="Int.J.Data Sci.Math.Sci.",
    volume="02",
    pages="3",
    doi="10.1142/S281093922440001X",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    reportNumber = "QMUL-PH-24-01",
    month = "1",
    year = "2024"
}

% January 22, 2024
@article{Chatterjee:2024pbp,
    author = {Chatterjee, Suman and Cruz, Sergio S\'anchez and Sch\"ofbeck, Robert and Schwarz, Dennis},
    title = "{Rotation-equivariant graph neural network for learning hadronic SMEFT effects}",
    eprint = "2401.10323",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1103/PhysRevD.109.076012",
    journal = "Phys. Rev. D",
    volume = "109",
    number = "7",
    pages = "076012",
    year = "2024"
}

% January 22, 2024
@article{NNPDF:2024dpb,
    author = "{NNPDF Collaboration}",
    title = "{Determination of the theory uncertainties from missing higher orders on NNLO parton distributions with percent accuracy}",
    eprint = "2401.10319",
    journal="Eur.Phys.J.C",
    volume="84",
    pages="517",
    doi="10.1140/epjc/s10052-024-12772-z",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "TIF-UNIMI-2023-22, Edinburgh 2023/34, CERN-TH-2024-009",
    month = "1",
    year = "2024"
}

% January 22, 2024
@article{Thakur:2024dcu,
    author = "Thakur, Dheeraja and Mohan, Athul and Ambika, G. and Meena, Chandrakala",
    title = "{Machine learning approach to detect dynamical states from recurrence measures}",
    eprint = "2401.10298",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    doi = "10.1063/5.0196382",
    journal = "Chaos",
    volume = "34",
    number = "4",
    pages = "043151",
    year = "2024"
}

% January 19, 2024
@article{Bressler:2024wzc,
    author = "Bressler, Shikma and Savoray, Inbar and Zurgil, Yuval",
    title = "{Learning New Physics from Data -- a Symmetrized Approach}",
    eprint = "2401.09530",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "1",
    year = "2024"
}

% January 19, 2024
@article{Gu:2024lrz,
    author = "Gu, Zhuo-Fan and Yan, Yu-Kun and Wu, Shao-Feng",
    title = "{Neural ODEs for holographic transport models without translation symmetry}",
    eprint = "2401.09946",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "1",
    year = "2024"
}

% January 18, 2024
@article{NNPDF:2024djq,
    author = "{NNPDF Collaboration}",
    title = "{Photons in the proton: implications for the LHC}",
    eprint = "2401.08749",
    journal="Eur.Phys.J.C",
    volume="84",
    pages="540",
    doi="10.1140/epjc/s10052-024-12731-8",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "TIF-UNIMI-2023-17, Edinburgh 2023/19, CERN-TH-2023-159",
    month = "1",
    year = "2024"
}

% January 18, 2024
@article{Deutschmann:2024lml,
    author = {Deutschmann, Nicolas and G\"otz, Niklas},
    title = "{Accelerating HEP simulations with Neural Importance Sampling}",
    eprint = "2401.09069",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1007/JHEP03(2024)083",
    journal = "JHEP",
    volume = "03",
    pages = "083",
    year = "2024"
}

% January 18, 2024
@article{Jurciukonis:2024hlg,
    author = "Jur\v{c}iukonis, Darius",
    title = "{Machine Learning for Prediction of Unitarity and Bounded from Below Constraints}",
    eprint = "2401.09130",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.22323/1.449.0494",
    journal = "PoS",
    volume = "EPS-HEP2023",
    pages = "494",
    year = "2024"
}

% January 18, 2024
@article{Gandrakota:2024ruu,
    author = "Gandrakota, Abhijith and Zhang, Lily and Puli, Aahlad and Cranmer, Kyle and Ngadiuba, Jennifer and Ranganath, Rajesh and Tran, Nhan",
    title = "{Robust Anomaly Detection for Particle Physics Using Multi-Background Representation Learning}",
    eprint = "2401.08777",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "FERMILAB-PUB-23-675-CMS-CSAID",
    month = "1",
    year = "2024"
}

% January 18, 2024
@inproceedings{Wang:2024gjz,
    author = "Wang, Zhehui and others",
    title = "{Physics-informed Meta-instrument for eXperiments (PiMiX) with applications to fusion energy}",
    eprint = "2401.08390",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    reportNumber = "Los Alamos National Laboratory report number LA-UR-24-20196",
    month = "1",
    year = "2024"
}

% January 17, 2024
@article{Ma:2024deu,
    author = "Ma, Yan and Arhrib, A. and Moretti, S. and Semlali, S. and Wang, Y. and Yan, Q. S.",
    title = "{Analysis of the $gg\to H\to hh\to4\tau$ process in the 2HDM lepton specific model at the LHC}",
    eprint = "2401.07289",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "1",
    year = "2024"
}

% January 17, 2024
@article{Thakur:2024mxs,
    author = "Thakur, Prashant and Malik, Tuhin and Jha, T. K.",
    title = "{Towards Uncovering Dark Matter Effects on Neutron Star Properties: A Machine Learning Approach}",
    eprint = "2401.07773",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.3390/particles7010005",
    journal = "Particles",
    volume = "7",
    pages = "80--95",
    year = "2024"
}

% January 17, 2024
@article{Vourliotis:2024bem,
    author = "{CMS Collaboration}",
    title = "{CMS highlights on searches for new physics in final states with jets}",
    eprint = "2401.07172",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CMS-CR-2024-004",
    doi = "10.22323/1.450.0162",
    journal = "PoS",
    volume = "LHCP2023",
    pages = "162",
    year = "2024"
}

% January 17, 2024
@inproceedings{Song:2024aka,
    author = "Song, Juhee",
    title = "{DNN-based identification of additional b jets for a differential $t\bar{t}b\bar{b}$ cross section measurement}",
    booktitle = "{16th International Workshop on Top Quark Physics}",
    eprint = "2401.07626",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "1",
    year = "2024"
}

% January 15, 2024
@article{Chen:2024ckb,
    author = "Chen, Xun and Huang, Mei",
    title = "{Machine learning holographic black hole from lattice QCD equation of state}",
    eprint = "2401.06417",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1103/PhysRevD.109.L051902",
    journal = "Phys. Rev. D",
    volume = "109",
    number = "5",
    pages = "L051902",
    year = "2024"
}

% January 15, 2024
@article{Catumba:2024wxc,
    author = "Catumba, Guilherme and Ramos, Alberto and Zaldivar, Bryan",
    title = "{The dependence of observables on action parameters}",
    eprint = "2401.06456",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    doi = "10.22323/1.453.0020",
    journal = "PoS",
    volume = "LATTICE2023",
    pages = "020",
    year = "2024"
}

% January 15, 2024
@article{Holland:2024muu,
    author = {Holland, Kieran and Ipp, Andreas and M\"uller, David I. and Wenger, Urs},
    title = "{Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network}",
    eprint = "2401.06481",
    journal="Phys.Rev.D",
    volume="110",
    pages="074502",
    doi="10.1103/PhysRevD.110.074502",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "1",
    year = "2024"
}

% January 12, 2024
@article{Goswami:2024jlc,
    author = "Goswami, Jishnu and Clarke, D. A. and Dimopoulos, P. and Di Renzo, F. and Schmidt, C. and Singh, S. and Zambello, K.",
    title = "{Exploring the Critical Points in QCD with Multi-Point Pad\'e and Machine Learning Techniques in (2+1)-flavor QCD}",
    eprint = "2401.05651",
    journal="EPJ Web Conf.",
    volume="296",
    pages="06007",
    doi="10.1051/epjconf/202429606007",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "1",
    year = "2024"
}

% January 11, 2024
@article{Zhang:2024bld,
    author = "Zhang, Yulei and Mo, Cen and Chen, Xiang and Li, Bingzhi and Chen, Hongyang and Hu, Jifeng and Li, Liang",
    title = "{Search for Long-lived Particles at Future Lepton Colliders Using Deep Learning Techniques}",
    eprint = "2401.05094",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "1",
    year = "2024"
}

% January 11, 2024
@article{Barletta:2024zar,
    author = "Barletta, Giulio and Trezza, Giovanni and Chiavazzo, Eliodoro",
    title = "{Learning effective good variables from physical data}",
    eprint = "2401.05226",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "1",
    year = "2024"
}

% January 08, 2024
@article{Chai:2024zyl,
    author = "Chai, Shengdu and Gu, Jiayin and Li, Lingfeng",
    title = "{From Optimal Observables to Machine Learning: an Effective-Field-Theory Analysis of $e^+e^- \to W^+W^-$ at Future Lepton Colliders}",
    eprint = "2401.02474",
    journal="JHEP",
    volume="05",
    pages="292",
    doi="10.1007/JHEP05(2024)292",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "1",
    year = "2024"
}

@inproceedings{Held:2024gwj,
    author = "Held, Alexander and Kauffman, Elliott and Shadura, Oksana and Wightman, Andrew",
    title = "{Physics analysis for the HL-LHC: concepts and pipelines in practice with the Analysis Grand Challenge}",
    eprint = "2401.02766",
    journal="EPJ Web Conf.",
    volume="295",
    pages="06016",
    doi="10.1051/epjconf/202429506016",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "1",
    year = "2024"
}

% January 04, 2024
@inproceedings{Kauffman:2024bov,
    author = "Kauffman, Elliott and Held, Alexander and Shadura, Oksana",
    title = "{Machine Learning for Columnar High Energy Physics Analysis}",
    eprint = "2401.01802",
    journal="EPJ Web Conf.",
    volume="295",
    pages="08011",
    doi="10.1051/epjconf/202429508011",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "1",
    year = "2024"
}

% January 03, 2024
@inproceedings{Kanwar:2024ujc,
    author = "Kanwar, Gurtej",
    title = "{Flow-based sampling for lattice field theories}",
    eprint = "2401.01297",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "1",
    year = "2024"
}

% January 02, 2024
@article{Hammad:2023sbd,
    author = "Hammad, A. and Moretti, S. and Nojiri, M.",
    title = "{Multi-scale cross-attention transformer encoder for event classification}",
    eprint = "2401.00452",
    journal="JHEP",
    volume="03",
    pages="144",
    doi="10.1007/JHEP03(2024)144",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2023"
}

% December 25, 2023
@article{Araz:2023mda,
    author = "Araz, Jack Y. and others",
    title = "{Les Houches guide to reusable ML models in LHC analyses}",
    eprint = "2312.14575",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2023"
}

@article{Delaney:2023swp,
    author = "Delaney, Blaise and Schulte, Nicole and Ciezarek, Gregory and Nolte, Niklas and Williams, Mike and Albrecht, Johannes",
    title = "{Applications of Lipschitz neural networks to the Run 3 LHCb trigger system}",
    eprint = "2312.14265",
    journal="EPJ Web Conf.",
    volume="295",
    pages="09005",
    doi="10.1051/epjconf/202429509005",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "12",
    year = "2023"
}

@article{Belis:2023mqs,
    author = "Belis, Vasilis and Odagiu, Patrick and \r{A}rrestad, Thea Kl\ae{}boe",
    title = "{Machine Learning for Anomaly Detection in Particle Physics}",
    eprint = "2312.14190",
    journal="Rev.Phys.",
    volume="12",
    pages="100091",
    doi="10.1016/j.revip.2024.100091",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "12",
    year = "2023"
}

% December 21, 2023
@article{Lawrence:2023cft,
    author = "Lawrence, Scott and Yamauchi, Yukari",
    title = "{Mitigating a discrete sign problem with extreme learning machines}",
    eprint = "2312.12636",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    reportNumber = "LA-UR-23-29892; INT-PUB-23-037",
    month = "12",
    year = "2023"
}

@article{Kasak:2023hhr,
    author = "Kasak, Mi\l{}osz and Deja, Kamil and Karwowska, Maja and Jakubowska, Monika and Graczykowski, \L{}ukasz and Janik, Ma\l{}gorzata",
    title = "{Machine-learning-based particle identification with missing data}",
    eprint = "2401.01905",
    journal="Eur.Phys.J.C",
    volume="84",
    pages="691",
    doi="10.1140/epjc/s10052-024-13047-3",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "12",
    year = "2023"
}

% December 20, 2023
@article{Ngairangbam:2023cps,
    author = "Ngairangbam, Vishal S. and Spannowsky, Michael",
    title = "{Interpretable deep learning models for the inference and classification of LHC data}",
    eprint = "2312.12330",
    journal="JHEP",
    volume="05",
    pages="004",
    doi="10.1007/JHEP05(2024)004",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IPPP/23/81",
    month = "12",
    year = "2023"
}

@article{Furuichi:2023vdx,
    author = "Furuichi, Amon and Lim, Sung Hak and Nojiri, Mihoko M.",
    title = "{Jet Classification Using High-Level Features from Anatomy of Top Jets}",
    eprint = "2312.11760",
    journal="JHEP",
    volume="07",
    pages="146",
    doi="10.1007/JHEP07(2024)146",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2023"
}

@article{Krause:2023uww,
    author = "Krause, Claudius and Nachman, Benjamin and Pang, Ian and Shih, David and Zhu, Yunhao",
    title = "{Anomaly detection with flow-based fast calorimeter simulators}",
    eprint = "2312.11618",
    journal="Phys.Rev.D",
    volume="110",
    pages="035036",
    doi="10.1103/PhysRevD.110.035036",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2023"
}

@article{VanStroud:2023ggs,
    author = "Van Stroud, Samuel and Pond, Nikita and Hart, Max and Barr, Jackson and Rettie, S\'ebastien and Facini, Gabriel and Scanlon, Tim",
    title = "{Vertex Reconstruction with MaskFormers}",
    eprint = "2312.12272",
    doi="10.1140/epjc/s10052-024-13374-5",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "12",
    year = "2023"
}

% December 19, 2023
@article{Sengupta:2023vtm,
    author = "Sengupta, Debajyoti and Leigh, Matthew and Raine, John Andrew and Klein, Samuel and Golling, Tobias",
    title = "{Improving new physics searches with diffusion models for event observables and jet constituents}",
    eprint = "2312.10130",
    journal="JHEP",
    volume="04",
    pages="109",
    doi="10.1007/JHEP04(2024)109",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "12",
    year = "2023"
}

% December 18, 2023
@inproceedings{Zipper:2023ybp,
    author = "{CMS Collaboration}",
    title = "{Testing a Neural Network for Anomaly Detection in the CMS Global Trigger Test Crate during Run 3}",
    booktitle = "{Topical Workshop on Electronics for Particle Physics}",
    eprint = "2312.10009",
    journal="JINST",
    volume="19",
    pages="C03029",
    doi="10.1088/1748-0221/19/03/C03029",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CMS-CR-2023-255",
    month = "12",
    year = "2023"
}

@article{Hashemi:2023rgo,
    author = "Hashemi, Hosein and Krause, Claudius",
    title = "{Deep Generative Models for Detector Signature Simulation: An Analytical Taxonomy}",
    eprint = "2312.09597",
    journal="Rev.Phys.",
    volume="12",
    pages="100092",
    doi="10.1016/j.revip.2024.100092",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "12",
    year = "2023"
}

@article{Dickinson:2023yes,
    author = "Dickinson, Jennet and others",
    title = "{Smartpixels: Towards on-sensor inference of charged particle track parameters and uncertainties}",
    eprint = "2312.11676",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "FERMILAB-PUB-23-513-CMS-ETD-PPD",
    month = "12",
    year = "2023"
}

% December 16, 2023
@article{Foreman:2023ymy,
    author = "Foreman, Sam and Jin, Xiao-Yong and Osborn, James C.",
    title = "{MLMC: Machine Learning Monte Carlo for Lattice Gauge Theory}",
    eprint = "2312.08936",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "12",
    year = "2023"
}

% December 15, 2023
@article{Chan:2023icm,
    author = "Chan, Jay and Ju, Xiangyang and Kania, Adam and Nachman, Benjamin and Sangli, Vishnu and Siodmok, Andrzej",
    title = "{Integrating Particle Flavor into Deep Learning Models for Hadronization}",
    eprint = "2312.08453",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2023"
}

% December 14, 2023
@article{Tamir:2023aiz,
    author = "Tamir, Nadav and Bessudo, Ilan and Chen, Boping and Raiko, Hely and Barak, Liron",
    title = "{Neural networks for boosted di-$\tau$ identification}",
    eprint = "2312.08276",
    journal="JINST",
    volume="19",
    pages="P07004",
    doi="10.1088/1748-0221/19/07/P07004",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "12",
    year = "2023"
}

@article{Ernst:2023qvn,
    author = "Ernst, Florian and Favaro, Luigi and Krause, Claudius and Plehn, Tilman and Shih, David",
    title = "{Normalizing Flows for High-Dimensional Detector Simulations}",
    eprint = "2312.09290",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2023"
}

% December 13, 2023
@inproceedings{Kishimoto:2023cys,
    author = "Kishimoto, Tomoe and Morinaga, Masahiro and Saito, Masahiko and Tanaka, Junichi",
    title = "{Pre-training strategy using real particle collision data for event classification in collider physics}",
    booktitle = "{37th Conference on Neural Information Processing Systems}",
    eprint = "2312.06909",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "12",
    year = "2023"
}

@article{Savard:2023wwi,
    author = "Savard, Claire and Manganelli, Nicholas and Holzman, Burt and Gray, Lindsey and Perloff, Alexx and Pedro, Kevin and Stenson, Kevin and Ulmer, Keith",
    title = "{Optimizing High Throughput Inference on Graph Neural Networks at Shared Computing Facilities with the NVIDIA Triton Inference Server}",
    eprint = "2312.06838",
    journal="Comput.Softw.Big Sci.",
    volume="8",
    pages="14",
    doi="10.1007/s41781-024-00123-2",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "12",
    year = "2023"
}

@article{Ishiguro:2023hcv,
    author = "Ishiguro, Keiya and Nishimura, Satsuki and Otsuka, Hajime",
    title = "{Autoencoder-Driven Clustering of Intersecting D-brane Models via Tadpole Charge}",
    eprint = "2312.07181",
    journal="JHEP",
    volume="08",
    pages="133",
    doi="10.1007/JHEP08(2024)133",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    reportNumber = "KEK-TH-2583, KYUSHU-HET-276",
    month = "12",
    year = "2023"
}

% December 12, 2023
@article{Beauchesne:2023vie,
    author = "Beauchesne, Hugues and Chen, Zong-En and Chiang, Cheng-Wei",
    title = "{Improving the performance of weak supervision searches using transfer and meta-learning}",
    eprint = "2312.06152",
    journal="JHEP",
    volume="02",
    pages="138",
    doi="10.1007/JHEP02(2024)138",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2023"
}

@article{Kocot:2023izs,
    author = "Kocot, Mateusz and Misan, Krzysztof and Avati, Valentina and Bossini, Edoardo and Grzanka, Leszek and Minafra, Nicola",
    title = "{Using deep neural networks to improve the precision of fast-sampled particle timing detectors}",
    eprint = "2312.05883",
    doi="10.7494/csci.2024.25.1.5784",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "12",
    year = "2023"
}

% December 11, 2023
@inproceedings{Li:2023xhj,
    author = "Li, Anni and Krishnamohan, Venkat and Kansal, Raghav and Sen, Rounak and Tsan, Steven and Zhang, Zhaoyu and Duarte, Javier",
    title = "{Induced Generative Adversarial Particle Transformers}",
    booktitle = "{37th Conference on Neural Information Processing Systems}",
    eprint = "2312.04757",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "FERMILAB-CONF-23-751-CMS-PPD",
    month = "12",
    year = "2023"
}

@inproceedings{Allaire:2023llb,
    author = "Allaire, Corentin and Bouvet, Fran\c{c}oise and Grasland, Hadrien and Rousseau, David",
    title = "{Ranking-based neural network for ambiguity resolution in ACTS}",
    booktitle = "{26th International Conference on Computing in High Energy \& Nuclear Physics}",
    eprint = "2312.05070",
    journal="EPJ Web Conf.",
    volume="295",
    pages="03022",
    doi="10.1051/epjconf/202429503022",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "12",
    year = "2023"
}

@inproceedings{Allaire:2023dfg,
    author = "Allaire, Corentin and Garg, Rocky Bala and Grasland, Hadrien Benjamin and Hofgard, Elyssa Frances and Rousseau, David and Salahat, Rama and Salzburger, Andreas and Tompkins, Lauren Alexandra",
    title = "{Auto-tuning capabilities of the ACTS track reconstruction suite}",
    booktitle = "{21th International Workshop on Advanced Computing and Analysis Techniques in Physics Research}: {AI meets Reality}",
    eprint = "2312.05123",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "12",
    year = "2023"
}


% December 08, 2023
@inproceedings{Lieret:2023aqg,
    author = "Lieret, Kilian and DeZoort, Gage and Chatterjee, Devdoot and Park, Jian and Miao, Siqi and Li, Pan",
    title = "{High Pileup Particle Tracking with Object Condensation}",
    eprint = "2312.03823",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "12",
    year = "2023"
}

% December 07, 2023
@article{Dolan:2023abg,
    author = "Dolan, Matthew J. and Gargalionis, John and Ore, Ayodele",
    title = "{Quark-versus-gluon tagging in CMS Open Data with CWoLa and TopicFlow}",
    eprint = "2312.03434",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2023"
}

% December 07, 2023
@article{Hoque:2023zjt,
    author = "Hoque, Sehmimul and Jia, Hao and Abhishek, Abhishek and Fadaie, Mojde and Toledo-Mar\'\i{}n, J. Quetzalcoatl and Vale, Tiago and Melko, Roger G. and Swiatlowski, Maximilian and Fedorko, Wojciech T.",
    title = "{CaloQVAE : Simulating high-energy particle-calorimeter interactions using hybrid quantum-classical generative models}",
    eprint = "2312.03179",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "12",
    year = "2023"
}

@article{Gao:2023quv,
    author = "Gao, Lin and Ying, Heping and Zhang, Jianbo",
    title = "{A study of topological quantities of lattice QCD by a modified DCGAN frame}",
    eprint = "2312.03023",
    journal="Chin.Phys.C",
    volume="48",
    pages="053111",
    doi="10.1088/1674-1137/ad2b51",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "12",
    year = "2023"
}

% December 06, 2023
@article{Kriesten:2023uoi,
    author = "Kriesten, Brandon and Hobbs, T. J.",
    title = "{Learning PDFs through Interpretable Latent Representations in Mellin Space}",
    eprint = "2312.02278",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "ANL-186490",
    month = "12",
    year = "2023"
}

@article{Batson:2023ohn,
    author = "Batson, Joshua and Kahn, Yonatan",
    title = "{Scaling Laws in Jet Classification}",
    eprint = "2312.02264",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2023"
}

% December 05, 2023
@article{Calisto:2023vmm,
    author = "Calisto, Francesco and Moodie, Ryan and Zoia, Simone",
    title = "{Learning Feynman integrals from differential equations with neural networks}",
    eprint = "2312.02067",
    journal="JHEP",
    volume="07",
    pages="124",
    doi="10.1007/JHEP07(2024)124",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "CERN-TH-2023-225",
    month = "12",
    year = "2023"
}

@article{ElBaz:2023ijr,
    author = "El Baz, Mathias and S\'anchez, Federico",
    title = "{Fast Posterior Probability Sampling with Normalizing Flows and Its Applicability in Bayesian analysis in Particle Physics}",
    eprint = "2312.02045",
    journal="Phys.Rev.D",
    volume="109",
    pages="032008",
    doi="10.1103/PhysRevD.109.032008",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "12",
    year = "2023"
}

% December 04, 2023
@article{Metodiev:2023izu,
    author = "Metodiev, Eric M. and Thaler, Jesse and Wynne, Raymond",
    title = "{Anomaly Detection in Collider Physics via Factorized Observables}",
    eprint = "2312.00119",
    journal="Phys.Rev.D",
    volume="110",
    pages="055012",
    doi="10.1103/PhysRevD.110.055012",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MIT-CTP/5644",
    month = "11",
    year = "2023"
}

@article{Scham:2023usu,
    author = {Scham, Moritz Alfons Wilhelm and Kr\"ucker, Dirk and Borras, Kerstin},
    title = "{DeepTreeGANv2: Iterative Pooling of Point Clouds}",
    eprint = "2312.00042",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "11",
    year = "2023"
}

% November 30, 2023
@article{Butter:2023ira,
    author = "Butter, Anja and Jezo, Tomas and Klasen, Michael and Kuschick, Mathias and Palacios Schweitzer, Sofia and Plehn, Tilman",
    title = "{Kicking it Off(-shell) with Direct Diffusion}",
    eprint = "2311.17175",
    journal="SciPost Phys.Core",
    volume="7",
    pages="064",
    doi="10.21468/SciPostPhysCore.7.3.064",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MS-TP-23-51",
    month = "11",
    year = "2023"
}

@inproceedings{Liu:2023djx,
    author = "Liu, Ryan and Gandrakota, Abhijith and Ngadiuba, Jennifer and Spiropulu, Maria and Vlimant, Jean-Roch",
    title = "{Fast Particle-based Anomaly Detection Algorithm with Variational Autoencoder}",
    booktitle = "{37th Conference on Neural Information Processing Systems}",
    eprint = "2311.17162",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "FERMILAB-PUB-23-749-CMS",
    month = "11",
    year = "2023"
}

@article{Simkina:2023ztj,
    author = {Simkina, Polina and Couderc, Fabrice and Malcl\`es, Julie and Sahin, Mehmet \"Ozg\"ur},
    title = "{Reconstruction of electromagnetic showers in calorimeters using Deep Learning}",
    eprint = "2311.17914",
    journal="Eur.Phys.J.C",
    volume="84",
    pages="639",
    doi="10.1140/epjc/s10052-024-12978-1",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "11",
    year = "2023"
}

@inproceedings{Holland:2023lfx,
    author = {Holland, Kieran and Ipp, Andreas and M\"uller, David I. and Wenger, Urs},
    title = "{Fixed point actions from convolutional neural networks}",
    booktitle = "{40th International Symposium on Lattice Field Theory}",
    eprint = "2311.17816",
    journal="PoS",
    volume="LATTICE2023",
    pages="038",
    doi="10.22323/1.453.0038",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "11",
    year = "2023"
}

@article{Hirst:2023kdl,
    author = "Hirst, Edward and Gherardini, Tancredi Schettini",
    title = "{Calabi-Yau Four/Five/Six-folds as $\mathbb{P}^n_\textbf{w}$ Hypersurfaces: Machine Learning, Approximation, and Generation}",
    eprint = "2311.17146",
    journal="Phys.Rev.D",
    volume="109",
    pages="106006",
    doi="10.1103/PhysRevD.109.106006",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    reportNumber = "QMUL-PH-23-25",
    month = "11",
    year = "2023"
}

% November 29, 2023
@article{Zhang:2023khv,
    author = "Zhang, Yu-Ting and Wang, Xin-Tong and Yang, Ji-Chong",
    title = "{Searching for gluon quartic gauge couplings at muon colliders using the auto-encoder}",
    eprint = "2311.16627",
    journal="Phys.Rev.D",
    volume="109",
    pages="095028",
    doi="10.1103/PhysRevD.109.095028",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2023"
}

@article{Ban:2023jfo,
    author = "Ban, Kayoung and Kong, Kyoungchul and Park, Myeonghun and Park, Seong Chan",
    title = "{Exploring the Synergy of Kinematics and Dynamics for Collider Physics}",
    eprint = "2311.16674",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "KIAS-P23059",
    month = "11",
    year = "2023"
}

@article{Hammad:2023wme,
    author = "Hammad, A. and Kong, Kyoungchul and Park, Myeonghun and Shim, Soyoung",
    title = "{Quantum Metric Learning for New Physics Searches at the LHC}",
    eprint = "2311.16866",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2023"
}

% November 28, 2023
@article{Zhang:2023ykh,
    author = "Zhang, Shuai and Guo, Yu-Chen and Yang, Ji-Chong",
    title = "{Optimize the event selection strategy the study the anomalous quartic gauge couplings at muon colliders using the support vector machine}",
    eprint = "2311.15280",
    journal="Eur.Phys.J.C",
    volume="84",
    pages="833",
    doi="10.1140/epjc/s10052-024-13208-4",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2023"
}

@article{Soloveva:2023tvj,
    author = "Soloveva, Olga and Palermo, Andrea and Bratkovskaya, Elena",
    title = "{Extraction of the microscopic properties of quasi-particles using deep neural networks}",
    eprint = "2311.15984",
    journal="Phys.Rev.C",
    volume="110",
    pages="034908",
    doi="10.1103/PhysRevC.110.034908",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2023"
}

@article{Palo:2023xnr,
    author = "Palo, Dylan and Molzon, William",
    title = "{Neural Network Applications to Improve Drift Chamber Track Position Measurements}",
    eprint = "2311.15541",
    journal="Nucl.Instrum.Meth.A",
    volume="1064",
    pages="169404",
    doi="10.1016/j.nima.2024.169404",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "11",
    year = "2023"
}

@article{Angloher:2023oya,
    author = "Angloher, G. and others",
    title = "{Optimal operation of cryogenic calorimeters through deep reinforcement learning}",
    eprint = "2311.15147",
    journal="Comput.Softw.Big Sci.",
    volume="8",
    pages="10",
    doi="10.1007/s41781-024-00119-y",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "11",
    year = "2023"
}

% November 27, 2023
@inproceedings{Diaz:2023otq,
    author = "Diaz, Mauricio A. and Cerro, Giorgio and Chaplais, Jacan and Dasmahapatra, Srinandan and Moretti, Stefano",
    title = "{JetLOV: Enhancing Jet Tree Tagging through Neural Network Learning of Optimal LundNet Variables}",
    booktitle = "{37th Conference on Neural Information Processing Systems}",
    eprint = "2311.14654",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2023"
}

@inproceedings{Liu:2023dio,
    author = "Liu, Ryan and Gandrakota, Abhijith and Ngadiuba, Jennifer and Spiropulu, Maria and Vlimant, Jean-Roch",
    title = "{Efficient and Robust Jet Tagging at the LHC with Knowledge Distillation}",
    booktitle = "{37th Conference on Neural Information Processing Systems}",
    eprint = "2311.14160",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "FERMILAB-PUB-23-748-CMS",
    month = "11",
    year = "2023"
}

% November 23, 2023
@article{Bai:2023yyy,
    author = "Bai, Kehang and Mastandrea, Radha and Nachman, Benjamin",
    title = "{Non-resonant Anomaly Detection with Background Extrapolation}",
    eprint = "2311.12924",
    journal="JHEP",
    volume="04",
    pages="059",
    doi="10.1007/JHEP04(2024)059",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2023"
}

@article{Dubey:2023pro,
    author = "Dubey, S. and Browder, T. E. and Kohani, S. and Mandal, R. and Sibidanov, A. and Sinha, R.",
    title = "{Training Deep 3D Convolutional Neural Networks to Extract BSM Physics Parameters Directly from HEP Data: a Proof-of-Concept Study Using Monte Carlo Simulations}",
    eprint = "2311.13060",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "11",
    year = "2023"
}

% November 22, 2023
@article{Scham:2023cwn,
    author = {Scham, Moritz Alfons Wilhelm and Kr\"ucker, Dirk and K\"ach, Benno and Borras, Kerstin},
    title = "{DeepTreeGAN: Fast Generation of High Dimensional Point Clouds}",
    eprint = "2311.12616",
    journal="EPJ Web Conf.",
    volume="295",
    pages="09010",
    doi="10.1051/epjconf/202429509010",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "11",
    year = "2023"
}

@article{Bal:2023bvt,
    author = "Bal, Aritra and Brandes, Tristan and Iemmi, Fabio and Klute, Markus and Maier, Benedikt and Mikuni, Vinicius and Aarrestad, Thea",
    title = "{Distilling particle knowledge for fast reconstruction at high-energy physics experiments}",
    eprint = "2311.12551",
    journal="Mach.Learn.Sci.Tech.",
    volume="5",
    pages="025033",
    doi="10.1088/2632-2153/ad43b1",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "11",
    year = "2023"
}

% November 21, 2023
@article{Mondal:2023law,
    author = "Mondal, Spandan and Barone, Gaetano and Schmidt, Alexander",
    title = "{PAIReD jet: A multi-pronged resonance tagging strategy across all Lorentz boosts}",
    eprint = "2311.11011",
    journal="JHEP",
    volume="09",
    pages="128",
    doi="10.1007/JHEP09(2024)128",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "11",
    year = "2023"
}

@article{Erbin:2023ncy,
    author = "Erbin, Harold and Finotello, Riccardo",
    title = "{Deep learning complete intersection Calabi-Yau manifolds}",
    eprint = "2311.11847",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    doi = "10.1142/9781800613706_0005",
    month = "11",
    year = "2023"
}

% November 20, 2023
@article{Gao:2023uel,
    author = "Gao, Lin and Cheng, Zhen and Ying, Heping and Zhang, Jianbo",
    title = "{Study of topological quantities of lattice QCD by a modified Wasserstein generative adversarial network}",
    eprint = "2311.10108",
    journal="Phys.Rev.D",
    volume="109",
    pages="074509",
    doi="10.1103/PhysRevD.109.074509",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "11",
    year = "2023"
}

% November 17, 2023
@article{Bierlich:2023zzd,
    author = "Bierlich, Christian and Ilten, Phil and Menzo, Tony and Mrenna, Stephen and Szewc, Manuel and Wilkinson, Michael K. and Youssef, Ahmed and Zupan, Jure",
    title = "{Towards a data-driven model of hadronization using normalizing flows}",
    eprint = "2311.09296",
    journal="SciPost Phys.",
    volume="17",
    pages="045",
    doi="10.21468/SciPostPhys.17.2.045",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "FERMILAB-PUB-23-698-CSAID",
    month = "11",
    year = "2023"
}

% November 16, 2023
@article{ATLAS:2023zca,
    author = "{ATLAS Collaboration}",
    title = "{Simultaneous energy and mass calibration of large-radius jets with the ATLAS detector using a deep neural network}",
    eprint = "2311.08885",
    journal="Mach.Learn.Sci.Tech.",
    volume="5",
    pages="035051",
    doi="10.1088/2632-2153/ad611e",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CERN-EP-2023-250",
    month = "11",
    year = "2023"
}

% November 15, 2023
@article{Bright-Thonney:2023gdl,
    author = "Bright-Thonney, Samuel and Nachman, Benjamin and Thaler, Jesse",
    title = "{Safe but Incalculable: Energy-weighting is not all you need}",
    eprint = "2311.07652",
    journal="Phys.Rev.D",
    volume="110",
    pages="014029",
    doi="10.1103/PhysRevD.110.014029",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MIT-CTP 5641",
    month = "11",
    year = "2023"
}

% November 14, 2023
@article{Romero:2023hrk,
    author = "Romero, Alexis and Whiteson, Daniel",
    title = "{Jet Rotational Metrics}",
    eprint = "2311.06686",
    journal="JHEP",
    volume="08",
    pages="049",
    doi="10.1007/JHEP08(2024)049",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2023"
}

% November 13, 2023
@article{Witkowski:2023xmx,
    author = "Witkowski, Edmund and Whiteson, Daniel",
    title = "{Learning Broken Symmetries with Resimulation and Encouraged Invariance}",
    eprint = "2311.05952",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "11",
    year = "2023"
}

@article{Lin:2023xrw,
    author = "Lin, S. and Ning, S. and Zhu, H. and Zhou, T. and Morris, C. L. and Clayton, S. and Cherukara, M. and Chen, R. T. and Wang, Z.",
    title = "{Neural Network Methods for Radiation Detectors and Imaging}",
    eprint = "2311.05726",
    doi="10.3389/fphy.2024.1334298",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "LA-UR-23-32395",
    month = "11",
    year = "2023"
}

% November 10, 2023
@article{Jin:2023xts,
    author = {Jin, Miaochen and Hu, Yushi and Arg\"uelles, Carlos A.},
    title = "{Two Watts is All You Need: Enabling In-Detector Real-Time Machine Learning for Neutrino Telescopes Via Edge Computing}",
    eprint = "2311.04983",
    journal="JCAP",
    volume="06",
    pages="026",
    doi="10.1088/1475-7516/2024/06/026",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "11",
    year = "2023"
}

% November 08, 2023
@inproceedings{Wang:2023sry,
    author = "Wang, Lingxiao and Aarts, Gert and Zhou, Kai",
    title = "{Generative Diffusion Models for Lattice Field Theory}",
    booktitle = "{37th Conference on Neural Information Processing Systems}",
    eprint = "2311.03578",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "11",
    year = "2023"
}

@article{Lanza:2023vee,
    author = "Lanza, Stefano",
    title = "{Machine learning the breakdown of tame effective theories}",
    eprint = "2311.03437",
    journal="Eur.Phys.J.C",
    volume="84",
    pages="631",
    doi="10.1140/epjc/s10052-024-12988-z",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "11",
    year = "2023"
}

% November 06, 2023
@article{Heimel:2023ngj,
    author = "Heimel, Theo and Huetsch, Nathan and Maltoni, Fabio and Mattelaer, Olivier and Plehn, Tilman and Winterhalder, Ramon",
    title = "{The MadNIS Reloaded}",
    eprint = "2311.01548",
    journal="SciPost Phys.",
    volume="17",
    pages="023",
    doi="10.21468/SciPostPhys.17.1.023",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IRMP-CP3-23-56, MCNET-23-12",
    month = "11",
    year = "2023"
}

@article{Grosso:2023owo,
    author = "Grosso, Gaia and Lai, Nicol\`o and Migliorini, Matteo and Pazzini, Jacopo and Triossi, Andrea and Zanetti, Marco and Zucchetta, Alberto",
    title = "{Triggerless data acquisition pipeline for Machine Learning based statistical anomaly detection}",
    eprint = "2311.02038",
    journal="EPJ Web Conf.",
    volume="295",
    pages="02033",
    doi="10.1051/epjconf/202429502033",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "11",
    year = "2023"
}

% October 31, 2023
@inproceedings{Matchev:2023mii,
    author = "Matchev, Konstantin T. and Matcheva, Katia and Ramond, Pierre and Verner, Sarunas",
    title = "{Seeking Truth and Beauty in Flavor Physics with Machine Learning}",
    booktitle = "{37th Conference on Neural Information Processing Systems}",
    eprint = "2311.00087",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2023"
}

% October 30, 2023
@article{Choi:2023rqg,
    author = "Choi, Eugene and Seong, Rak-Kyeong",
    title = "{Machine Learning Regularization for the Minimum Volume Formula of Toric Calabi-Yau 3-folds}",
    eprint = "2310.19276",
    journal="Phys.Rev.D",
    volume="109",
    pages="046015",
    doi="10.1103/PhysRevD.109.046015",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    reportNumber = "UNIST-MTH-23-RS-05",
    month = "10",
    year = "2023"
}

@article{Halverson:2023ndu,
    author = "Halverson, James and Ruehle, Fabian",
    title = "{Metric Flows with Neural Networks}",
    eprint = "2310.19870",
    doi="10.1088/2632-2153/ad8533",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "10",
    year = "2023"
}

% October 26, 2023
@article{Wang:2023pqx,
    author = "Wang, Daohan and Cho, Jin-Hwan and Kim, Jinheung and Lee, Soojin and Sanyal, Prasenjit and Song, Jeonghyeon",
    title = "{Probing Light Fermiophobic Higgs Boson via diphoton jets at the HL-LHC}",
    eprint = "2310.17741",
    journal="Phys.Rev.D",
    volume="109",
    pages="015017",
    doi="10.1103/PhysRevD.109.015017",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2023"
}

% October 24, 2023
@article{Devlin:2023jzp,
    author = "Devlin, Peter and Qiu, Jian-Wei and Ringer, Felix and Sato, Nobuo",
    title = "{Diffusion model approach to simulating electron-proton scattering events}",
    eprint = "2310.16308",
    journal="Phys.Rev.D",
    volume="110",
    pages="016030",
    doi="10.1103/PhysRevD.110.016030",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "JLAB-THY-23-3945",
    month = "10",
    year = "2023"
}

@inproceedings{Bogatskiy:2023fug,
    author = "Bogatskiy, Alexander and Hoffman, Timothy and Offermann, Jan T.",
    title = "{19 Parameters Is All You Need: Tiny Neural Networks for Particle Physics}",
    booktitle = "{37th Conference on Neural Information Processing Systems}",
    eprint = "2310.16121",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2023"
}

@article{Alawadhi:2023gxa,
    author = "Alawadhi, R. and Angella, D. and Leonardo, A. and Gherardini, T. Schettini",
    title = "{Constructing and Machine Learning Calabi-Yau Five-folds}",
    eprint = "2310.15966",
    journal="Fortsch.Phys.",
    volume="72",
    pages="2300262",
    doi="10.1002/prop.202300262",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "10",
    year = "2023"
}

% October 23, 2023
@article{Grefsrud:2023dad,
    author = "Grefsrud, Aurora Singstad and Buanes, Trygve and Koutroulis, Fotis and Lipniacka, Anna and Maselek, Rafal and Papaefstathiou, Andreas and Sakurai, Kazuki and Sjursen, Therese B. and Slazyk, Igor",
    title = "{Machine Learning Classification of Sphalerons and Black Holes at the LHC}",
    eprint = "2310.15227",
    journal="Eur.Phys.J.C",
    volume="84",
    pages="442",
    doi="10.1140/epjc/s10052-024-12790-x",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2023"
}

% October 19, 2023
@article{Freytsis:2023cjr,
    author = "Freytsis, Marat and Perelstein, Maxim and San, Yik Chuen",
    title = "{Anomaly Detection in Presence of Irrelevant Features}",
    eprint = "2310.13057",
    journal="JHEP",
    volume="02",
    pages="220",
    doi="10.1007/JHEP02(2024)220",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2023"
}

@article{Smith:2023ssh,
    author = "Smith, Rachel E. C. and Ochoa, In\^es and In\'acio, R\'uben and Shoemaker, Jonathan and Kagan, Michael",
    title = "{Differentiable Vertex Fitting for Jet Flavour Tagging}",
    eprint = "2310.12804",
    journal="Phys.Rev.D",
    volume="110",
    pages="052010",
    doi="10.1103/PhysRevD.110.052010",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "10",
    year = "2023"
}

@inproceedings{Tomiya:2023jdy,
    author = "Tomiya, Akio and Nagai, Yuki",
    title = "{Equivariant Transformer is all you need}",
    booktitle = "{40th International Symposium on Lattice Field Theory}",
    eprint = "2310.13222",
    journal="PoS",
    volume="LATTICE2023",
    pages="001",
    doi="10.22323/1.453.0001",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "10",
    year = "2023"
}

% October 18, 2023
@article{BOREXINO:2023pcv,
    author = "The BOREXINO Collaboration",
    title = "{Novel techniques for alpha/beta pulse shape discrimination in Borexino}",
    eprint = "2310.11826",
    journal="Phys.Rev.D",
    volume="109",
    pages="112014",
    doi="10.1103/PhysRevD.109.112014",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "10",
    year = "2023"
}

% October 16, 2023
@inproceedings{Baron:2023yhw,
    author = "Baro\v{n}, Petr and Kvita, Ji\v{r}\'\i{} and P\v{r}\'\i{}vara, Radek and Tome\v{c}ek, Jan and Vod\'ak, Rostislav",
    title = "{Application of Machine Learning Based Top Quark and W Jet Tagging to Hadronic Four-Top Final States Induced by SM as well as BSM Processes}",
    booktitle = "{16th International Workshop on Top Quark Physics}",
    eprint = "2310.13009",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "10",
    year = "2023"
}

% October 14, 2023
@article{Song:2023ceh,
    author = "Song, Siyuan and Chen, Jiyuan and Liu, Jianbei and Liu, Yong and Qi, Baohua and Shi, Yukun and Wang, Jiaxuan and Wang, Zhen and Yang, Haijun",
    title = "{Study of residual artificial neural network for particle identification in the CEPC high-granularity calorimeter prototype}",
    eprint = "2310.09489",
    journal="JINST",
    volume="19",
    pages="P04033",
    doi="10.1088/1748-0221/19/04/P04033",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "10",
    year = "2023"
}

% October 13, 2023
@article{Gavranovic:2023oam,
    author = "Gavranovi\v{c}, Jan and Ker\v{s}evan, Borut Paul",
    title = "{Systematic Evaluation of Generative Machine Learning Capability to Simulate Distributions of Observables at the Large Hadron Collider}",
    eprint = "2310.08994",
    journal="Eur.Phys.J.C",
    volume="84",
    pages="911",
    doi="10.1140/epjc/s10052-024-13284-6",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2023"
}

% October 12, 2023
@article{Alvestad:2023jgl,
    author = "Alvestad, Daniel and Rothkopf, Alexander and Sexty, D\'enes",
    title = "{Lattice real-time simulations with learned optimal kernels}",
    eprint = "2310.08053",
    journal="Phys.Rev.D",
    volume="109",
    pages="L031502",
    doi="10.1103/PhysRevD.109.L031502",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "10",
    year = "2023"
}

% October 11, 2023
@inproceedings{Schroff:2023see,
    author = "Schroff, Jaffae and Ju, Xiangyang",
    title = "{Event Generator Tuning Incorporating Systematic Uncertainty}",
    booktitle = "{26th International Conference on Computing in High Energy \& Nuclear Physics}",
    eprint = "2310.07566",
    journal="EPJ Web Conf.",
    volume="295",
    pages="06010",
    doi="10.1051/epjconf/202429506010",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2023"
}

@inproceedings{Pham:2023bnl,
    author = "Pham, Tuan Minh and Ju, Xiangyang",
    title = "{Simulation of Hadronic Interactions with Deep Generative Models}",
    booktitle = "{26th International Conference on Computing in High Energy \& Nuclear Physics}",
    eprint = "2310.07553",
    journal="EPJ Web Conf.",
    volume="295",
    pages="09034",
    doi="10.1051/epjconf/202429509034",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2023"
}

@article{Heimel:2023mvw,
    author = "Heimel, Theo and Huetsch, Nathan and Winterhalder, Ramon and Plehn, Tilman and Butter, Anja",
    title = "{Precision-Machine Learning for the Matrix Element Method}",
    eprint = "2310.07752",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IRMP-CP3-23-55",
    month = "10",
    year = "2023"
}

% October 10, 2023
@article{Buhmann:2023acn,
    author = "Buhmann, Erik and Ewen, Cedric and Kasieczka, Gregor and Mikuni, Vinicius and Nachman, Benjamin and Shih, David",
    title = "{Full Phase Space Resonant Anomaly Detection}",
    eprint = "2310.06897",
    journal="Phys.Rev.D",
    volume="109",
    pages="055015",
    doi="10.1103/PhysRevD.109.055015",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2023"
}

% October 9, 2023
@article{Yang:2023rbg,
    author = "Yang, Zekun and others",
    title = "{First attempt of directionality reconstruction for atmospheric neutrinos in a large homogeneous liquid scintillator detector}",
    eprint = "2310.06281",
    journal="Phys.Rev.D",
    volume="109",
    pages="052005",
    doi="10.1103/PhysRevD.109.052005",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "10",
    year = "2023"
}

% October 5, 2023
@inproceedings{Albandea:2023ais,
    author = "Albandea, David and Del Debbio, Luigi and Hern\'andez, Pilar and Kenway, Richard and Rossney, Joe Marsh and Ramos, Alberto",
    title = "{Learning Trivializing Flows in a $\phi^4$ theory from coarser lattices}",
    booktitle = "{40th International Symposium on Lattice Field Theory}",
    eprint = "2310.03381",
    journal="PoS",
    volume="LATTICE2023",
    pages="013",
    doi="10.22323/1.453.0013",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    reportNumber = "IFIC/23-44",
    month = "10",
    year = "2023"
}

% October 3, 2023
@article{Yoo:2023lxy,
    author = "Yoo, Jieun and others",
    title = "{Smart pixel sensors: towards on-sensor filtering of pixel clusters with deep learning}",
    eprint = "2310.02474",
    journal="Mach.Learn.Sci.Tech.",
    volume="5",
    pages="035047",
    doi="10.1088/2632-2153/ad6a00",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "FERMILAB-PUB-23-577-PPD",
    month = "10",
    year = "2023"
}

% October 2, 2023
@article{Acosta:2023nuw,
    author = "Acosta, Fernando Torales and Karki, Bishnu and Karande, Piyush and Angerami, Aaron and Arratia, Miguel and Barish, Kenneth and Milton, Ryan and Mor\'an, Sebasti\'an and Nachman, Benjamin and Sinha, Anshuman",
    title = "{The Optimal use of Segmentation for Sampling Calorimeters}",
    eprint = "2310.04442",
    journal="JINST",
    volume="19",
    pages="P06002",
    doi="10.1088/1748-0221/19/06/P06002",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "10",
    year = "2023"
}

@article{Lay:2023boz,
    author = "Lay, Daniel and Flynn, Eric and Giuliani, Samuel A. and Nazarewicz, Witold and Neufcourt, Le\'o",
    title = "{Neural Network Emulation of Spontaneous Fission}",
    eprint = "2310.01608",
    journal="Phys.Rev.C",
    volume="109",
    pages="044305",
    doi="10.1103/PhysRevC.109.044305",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    month = "10",
    year = "2023"
}

% September 30, 2023
@article{Aehle:2023wwi,
    author = "Aehle, Max and others",
    title = "{Progress in End-to-End Optimization of Detectors for Fundamental Physics with Differentiable Programming}",
    eprint = "2310.05673",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "FERMILAB-PUB-23-608-CSAID-PPD",
    month = "9",
    year = "2023"
}

% September 29, 2023
@article{Konar:2023ptv,
    author = "Konar, Partha and Ngairangbam, Vishal S. and Spannowsky, Michael",
    title = "{Hypergraphs in LHC Phenomenology -- The Next Frontier of IRC-Safe Feature Extraction}",
    eprint = "2309.17351",
    journal="JHEP",
    volume="01",
    pages="113",
    doi="10.1007/JHEP01(2024)113",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IPPP/23/53",
    month = "9",
    year = "2023"
}

@article{Buhmann:2023zgc,
    author = "Buhmann, Erik and Ewen, Cedric and Faroughy, Darius A. and Golling, Tobias and Kasieczka, Gregor and Leigh, Matthew and Qu\'etant, Guillaume and Raine, John Andrew and Sengupta, Debajyoti and Shih, David",
    title = "{EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion}",
    eprint = "2310.00049",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2023"
}

% September 27, 2023
@article{Bright-Thonney:2023sqf,
    author = "Bright-Thonney, Samuel and Harris, Philip and McCormack, Patrick and Rothman, Simon",
    title = "{Chained Quantile Morphing with Normalizing Flows}",
    eprint = "2309.15912",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2023"
}

% September 25, 2023
@inproceedings{Mieskolainen:2023hkz,
    author = "Mieskolainen, Mikael",
    title = "{HyperTrack: Neural Combinatorics for High Energy Physics}",
    booktitle = "{26th International Conference on Computing in High Energy \& Nuclear Physics}",
    eprint = "2309.14113",
    journal="EPJ Web Conf.",
    volume="295",
    pages="09021",
    doi="10.1051/epjconf/202429509021",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2023"
}

@article{Larkoski:2023xam,
    author = "Larkoski, Andrew J.",
    title = "{Binary Discrimination Through Next-to-Leading Order}",
    eprint = "2309.14417",
    journal="JHEP",
    volume="03",
    pages="057",
    doi="10.1007/JHEP03(2024)057",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2023"
}

% September 22, 2023
@article{Bickendorf:2023nej,
    author = "Bickendorf, Gerrit and Drees, Manuel and Kasieczka, Gregor and Krause, Claudius and Shih, David",
    title = "{Combining Resonant and Tail-based Anomaly Detection}",
    eprint = "2309.12918",
    journal="Phys.Rev.D",
    volume="109",
    pages="096031",
    doi="10.1103/PhysRevD.109.096031",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2023"
}

@article{Finke:2023ltw,
    author = {Finke, Thorben and Hein, Marie and Kasieczka, Gregor and Kr\"amer, Michael and M\"uck, Alexander and Prangchaikul, Parada and Quadfasel, Tobias and Shih, David and Sommerhalder, Manuel},
    title = "{Back To The Roots: Tree-Based Algorithms for Weakly Supervised Anomaly Detection}",
    eprint = "2309.13111",
    journal="Phys.Rev.D",
    volume="109",
    pages="034033",
    doi="10.1103/PhysRevD.109.034033",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "TTK-23-26",
    month = "9",
    year = "2023"
}

@inproceedings{Bein:2023ylt,
    author = "Bein, Samuel and Connor, Patrick and Pedro, Kevin and Schleper, Peter and Wolf, Moritz",
    collaboration = "CMS",
    title = "{Refining fast simulation using machine learning}",
    booktitle = "{26th International Conference on Computing in High Energy \& Nuclear Physics}",
    eprint = "2309.12919",
    journal="EPJ Web Conf.",
    volume="295",
    pages="09032",
    doi="10.1051/epjconf/202429509032",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "CMS CR-2023/128, FERMILAB-CONF-23-537-CMS-CSAID-PPD",
    month = "9",
    year = "2023"
}

% September 21, 2023
@article{Tung:2023lkv,
    author = "Tung, Y. -C. and others",
    title = "{Suppression of Neutron Background using Deep Neural Network and Fourier Frequency Analysis at the KOTO Experiment}",
    eprint = "2309.12063",
    journal="Nucl.Instrum.Meth.A",
    volume="1059",
    pages="169010",
    doi="10.1016/j.nima.2023.169010",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "9",
    year = "2023"
}

@article{Akar:2023puf,
    author = "Akar, Simon and Elashri, Mohamed and Garg, Rocky Bala and Kauffman, Elliott and Peters, Michael and Schreiner, Henry and Sokoloff, Michael and Tepe, William and Tompkins, Lauren",
    title = "{Advances in developing deep neural networks for finding primary vertices in proton-proton collisions at the LHC}",
    eprint = "2309.12417",
    journal="EPJ Web Conf.",
    volume="295",
    pages="09003",
    doi="10.1051/epjconf/202429509003",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "9",
    year = "2023"
}

% September 20, 2023
@article{Belfkir:2023vpo,
    author = "Belfkir, Mohamed and Jueid, Adil and Nasri, Salah",
    title = "{Boosting dark matter searches at muon colliders with Machine Learning: the mono-Higgs channel as a case study}",
    eprint = "2309.11241",
    journal="PTEP",
    volume="2023",
    pages="123B03",
    doi="10.1093/ptep/ptad144",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "CTPU-PTC-23-37",
    month = "9",
    year = "2023"
}

@article{Guo:2023mhf,
    author = "Guo, Ling-Jun and Xiong, Jia-Ying and Ma, Yao and Ma, Yong-Liang",
    title = "{Insights into neutron star equation of state by machine learning}",
    eprint = "2309.11227",
    journal="Astrophys.J.",
    volume="965",
    pages="47",
    doi="10.3847/1538-4357/ad2e8d",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    month = "9",
    year = "2023"
}

% September 19, 2023
@article{Wojcik:2023usm,
    author = "Wojcik, George N.",
    title = "{BFBrain: Scalar Bounded-From-Below Conditions from Bayesian Active Learning}",
    eprint = "2309.10959",
    journal="Phys.Rev.D",
    volume="109",
    pages="095018",
    doi="10.1103/PhysRevD.109.095018",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2023"
}

% September 18, 2023
@article{Reyes-Gonzalez:2023oei,
    author = "Reyes-Gonzalez, Humberto and Torre, Riccardo",
    title = "{The NFLikelihood: an unsupervised DNNLikelihood from Normalizing Flows}",
    eprint = "2309.09743",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2023"
}

@article{Dutta:2023jbz,
    author = "Dutta, Bhaskar and Ghosh, Tathagata and Horne, Alyssa and Kumar, Jason and Palmer, Sean and Sandick, Pearl and Snedeker, Marcus and Stengel, Patrick and Walker, Joel W.",
    title = "{Applying Machine Learning Techniques to Searches for Lepton-Partner Pair-Production with Intermediate Mass Gaps at the Large Hadron Collider}",
    eprint = "2309.10197",
    journal="Phys.Rev.D",
    volume="109",
    pages="075018",
    doi="10.1103/PhysRevD.109.075018",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MI-HET-810, HRI-RECAPP-2023-08, UH511-1330-2023, CETUP-2023-007",
    month = "9",
    year = "2023"
}

@article{CMSECAL:2023fvz,
    author = "Abadjiev, D. and others",
    collaboration = "CMS ECAL",
    title = "{Autoencoder-based Anomaly Detection System for Online Data Quality Monitoring of the CMS Electromagnetic Calorimeter}",
    eprint = "2309.10157",
    journal="Comput.Softw.Big Sci.",
    volume="8",
    pages="11",
    doi="10.1007/s41781-024-00118-z",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "9",
    year = "2023"
}

% September 15, 2023
@article{Kaidisch:2023lwp,
    author = "Kaidisch, Siegfried and Hilger, Thomas U. and Krassnigg, Andreas and Lucha, Wolfgang",
    title = "{Pole-fitting for complex functions: Enhancing standard techniques by artificial-neural-network classifiers and regressors}",
    eprint = "2309.08358",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1016/j.cpc.2023.108998",
    journal = "Comput. Phys. Commun.",
    volume = "295",
    pages = "108998",
    year = "2024"
}


% September 15, 2023
@article{Ermann:2023unw,
    author = "Ermann, Christian and Baker, Stephen and Anber, Mohamed M.",
    title = "{Breaking Free with AI: The Deconfinement Transition}",
    eprint = "2309.07225",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "9",
    year = "2023"
}

% September 14, 2023
@article{FaucciGiannelli:2023fow,
    author = "Faucci Giannelli, Michele and Zhang, Rui",
    title = "{CaloShowerGAN, a Generative Adversarial Networks model for fast calorimeter shower simulation}",
    eprint = "2309.06515",
    journal="Eur.Phys.J.Plus",
    volume="139",
    pages="597",
    doi="10.1140/epjp/s13360-024-05397-4",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "9",
    year = "2023"
}

@article{Rusack:2023pob,
    author = "Rusack, Roger and Joshi, Bhargav and Alpana, Alpana and Sharma, Seema and Vadnais, Thomas",
    title = "{Electron Energy Regression in the CMS High-Granularity Calorimeter Prototype}",
    eprint = "2309.06582",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "9",
    year = "2023"
}

@article{Golling:2023mqx,
    author = "Golling, Tobias and Klein, Samuel and Mastandrea, Radha and Nachman, Benjamin and Raine, John Andrew",
    title = "{Flows for Flows: Morphing one Dataset into another with Maximum Likelihood Estimation}",
    eprint = "2309.06472",
      journal="Phys.Rev.D",
      volume="108",
      pages="096018",
      doi="10.1103/PhysRevD.108.096018",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2023"
}

@inproceedings{Karwowska:2023dhl,
    author = "Karwowska, Maja and Jakubowska, Monika and Graczykowski, \L{}ukasz and Deja, Kamil and Kasak, Mi\l{}osz",
    collaboration = "ALICE",
    title = "{Particle identification with machine learning in ALICE Run 3}",
    booktitle = "{26th International Conference on Computing in High Energy \& Nuclear Physics}",
    eprint = "2309.07768",
    journal="EPJ Web Conf.",
    volume="295",
    pages="09029",
    doi="10.1051/epjconf/202429509029",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "9",
    year = "2023"
}

% September 13, 2023
@article{Buhmann:2023kdg,
    author = {Buhmann, Erik and Gaede, Frank and Kasieczka, Gregor and Korol, Anatolii and Korcari, William and Kr\"uger, Katja and McKeown, Peter},
    title = "{CaloClouds II: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation}",
    eprint = "2309.05704",
    journal="JINST",
    volume="19",
    pages="P04020",
    doi="10.1088/1748-0221/19/04/P04020",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "DESY-23-130",
    month = "9",
    year = "2023"
}

@article{Seong:2023njx,
    author = "Seong, Rak-Kyeong",
    title = "{Unsupervised Machine Learning Techniques for Exploring Tropical Coamoeba, Brane Tilings and Seiberg Duality}",
    eprint = "2309.05702",
      journal="Phys.Rev.D",
      volume="108",
      pages="106009",
      doi="10.1103/PhysRevD.108.106009",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    reportNumber = "UNIST-MTH-23-RS-04",
    month = "9",
    year = "2023"
}

@article{Kashiwa:2023dfx,
    author = "Kashiwa, Kouji and Namekawa, Yusuke and Ohnishi, Akira and Takase, Hayato",
    title = "{Application of the path optimization method to a discrete spin system}",
    eprint = "2309.06018",
      journal="Phys.Rev.D",
      volume="108",
      pages="094504",
      doi="10.1103/PhysRevD.108.094504",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "9",
    year = "2023"
}

@article{Badea:2023jdb,
    author = "Badea, Anthony and Montejo Berlingen, Javier",
    title = "{A data-driven and model-agnostic approach to solving combinatorial assignment problems in searches for new physics}",
    eprint = "2309.05728",
    journal="Phys.Rev.D",
    volume="109",
    pages="L011702",
    doi="10.1103/PhysRevD.109.L011702",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2023"
}

% September 11, 2023
@article{Arganda:2023qni,
    author = "Arganda, Ernesto and D\'\i{}az, Daniel A. and Perez, Andres D. and Sand\'a Seoane, Rosa M. and Szynkman, Alejandro",
    title = "{LHC Study of Third-Generation Scalar Leptoquarks with Machine-Learned Likelihoods}",
    eprint = "2309.05407",
    journal="Phys.Rev.D",
    volume="109",
    pages="055032",
    doi="10.1103/PhysRevD.109.055032",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IFT-UAM/CSIC-23-110",
    month = "9",
    year = "2023"
}

% September 07, 2023
@article{Bedaque:2023udu,
    author = "Bedaque, Paulo F. and Kumar, Hersh and Sheng, Andy",
    title = "{Neural Network Solutions of Bosonic Quantum Systems in One Dimension}",
    eprint = "2309.02352",
    journal="Phys.Rev.C",
    volume="109",
    pages="034004",
    doi="10.1103/PhysRevC.109.034004",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    month = "9",
    year = "2023"
}

% September 06, 2023
@article{Hunt-Smith:2023ccp,
    author = "Hunt-Smith, N. T. and Melnitchouk, W. and Ringer, F. and Sato, N. and Thomas, A. W. and White, M. J.",
    title = "{Accelerating Markov Chain Monte Carlo sampling with diffusion models}",
    eprint = "2309.01454",
    journal="Comput.Phys.Commun.",
    volume="296",
    pages="109059",
    doi="10.1016/j.cpc.2023.109059",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2023"
}

@article{Sahu:2023uwb,
    author = "Sahu, Rameswar and Ghosh, Kirtiman",
    title = "{ML-Based Top Taggers: Performance, Uncertainty and Impact of Tower \& Tracker Data Integration}",
    eprint = "2309.01568",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2023"
}

% September 04, 2023
@inproceedings{Detmold:2023kjm,
    author = "Detmold, William and Kanwar, Gurtej and Lin, Yin and Shanahan, Phiala E. and Wagman, Michael L.",
    title = "{Signal-to-noise improvement through neural network contour deformations for 3D $SU(2)$ lattice gauge theory}",
    eprint = "2309.00600",
    journal="PoS",
    volume="LATTICE2023",
    pages="043",
    doi="10.22323/1.453.0043",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "9",
    year = "2023"
}

% September 01, 2023
@article{Vermunt:2023fsr,
    author = "Vermunt, L. and Seemann, Y. and Dubla, A. and Floerchinger, S. and Grossi, E. and Kirchner, A. and Masciocchi, S. and Selyuzhenkov, I.",
    title = "{Mapping QGP properties in Pb--Pb and Xe--Xe collisions at the LHC}",
    eprint = "2308.16722",
    journal="Phys.Rev.C",
    volume="108",
    pages="064908",
    doi="10.1103/PhysRevC.108.064908",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2023"
}

% September 01, 2023
@inproceedings{Harilal:2023smf,
    author = "{CMS Collaboration}",
    title = "{Autoencoder-based Online Data Quality Monitoring for the CMS Electromagnetic Calorimeter}",
    booktitle = "{21th International Workshop on Advanced Computing and Analysis Techniques in Physics Research}: {AI meets Reality}",
    eprint = "2308.16659",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "8",
    year = "2023"
}

% September 01, 2023
@article{Gnech:2023prs,
    author = "Gnech, A. and Fore, B. and Lovato, A.",
    title = "{Distilling the essential elements of nuclear binding via neural-network quantum states}",
    eprint = "2308.16266",
    journal="Phys.Rev.Lett.",
    volume="133",
    pages="142501",
    doi="10.1103/PhysRevLett.133.142501",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    month = "8",
    year = "2023"
}

% August 31, 2023
@article{Mizera:2023bsw,
    author = "Mizera, Sebastian",
    title = "{Scattering with Neural Operators}",
    eprint = "2308.14789",
      journal="Phys.Rev.D",
      volume="108",
      pages="L101701",
      doi="10.1103/PhysRevD.108.L101701",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "8",
    year = "2023"
}

% August 31, 2023
@article{Yang:2023djv,
    author = "Yang, Zu-Xing and Fan, Xiao-Hua and Li, Zhi-Pan and Nishimura, Shunji",
    title = "{A Neural Network Approach for Orienting Heavy-Ion Collision Events}",
    eprint = "2308.15796",
      journal="Phys.Lett.B",
      volume="848",
      pages="138359",
      doi="10.1016/j.physletb.2023.138359",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    month = "8",
    year = "2023"
}

@article{Kagan:2023gxz,
    author = "Kagan, Michael and Heinrich, Lukas",
    title = "{Branches of a Tree: Taking Derivatives of Programs with Discrete and Branching Randomness in High Energy Physics}",
    eprint = "2308.16680",
    archivePrefix = "arXiv",
    primaryClass = "stat.ML",
    month = "8",
    year = "2023"
}

% August 29, 2023
@article{Bhattacherjee:2023evs,
    author = "Bhattacherjee, Biplob and Konar, Partha and Ngairangbam, Vishal Singh and Solanki, Prabhat",
    title = "{LLPNet: Graph Autoencoder for Triggering Light Long-Lived Particles at HL-LHC}",
    eprint = "2308.13611",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2023"
}

% August 25, 2023
@article{Diefenbacher:2023wec,
    author = "Diefenbacher, Sascha and Liu, Guan-Horng and Mikuni, Vinicius and Nachman, Benjamin and Nie, Weili",
    title = "{Improving Generative Model-based Unfolding with Schr\"odinger Bridges}",
    eprint = "2308.12351",
    journal="Phys.Rev.D",
    volume="109",
    pages="076011",
    doi="10.1103/PhysRevD.109.076011",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2023"
}

% August 25, 2023
@article{Cotler:2023lem,
    author = "Cotler, Jordan and Rezchikov, Semon",
    title = "{Renormalizing Diffusion Models}",
    eprint = "2308.12355",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "8",
    year = "2023"
}

% August 25, 2023
@article{Diefenbacher:2023flw,
    author = "Diefenbacher, Sascha and Mikuni, Vinicius and Nachman, Benjamin",
    title = "{Refining Fast Calorimeter Simulations with a Schr\"odinger Bridge}",
    eprint = "2308.12339",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "8",
    year = "2023"
}

% August 24, 2023
@article{Pang:2023wfx,
    author = "Pang, Ian and Raine, John Andrew and Shih, David",
    title = "{SuperCalo: Calorimeter shower super-resolution}",
    eprint = "2308.11700",
    journal="Phys.Rev.D",
    volume="109",
    pages="092009",
    doi="10.1103/PhysRevD.109.092009",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "8",
    year = "2023"
}

% Aug. 23, 2023
@article{Holmberg:2023rfr,
    author = "Holmberg, Daniel and Golubovic, Dejan and Kirschenmann, Henning",
    title = "{Jet energy calibration with deep learning as a Kubeflow pipeline}",
    eprint = "2308.12724",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.1007/s41781-023-00103-y",
    journal = "Comput. Softw. Big Sci.",
    month = "8",
    volume = "7",
    pages = "9",
    year = "2023"
}

% August 22, 2023
@inproceedings{Du:2023qst,
    author = "Du, Yi-Lun",
    title = "{Overview: Jet quenching with machine learning}",
    booktitle = "{11th International Conference on Hard and Electromagnetic Probes of High-Energy Nuclear Collisions}: {Hard Probes 2023}",
    eprint = "2308.10035",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2023"
}

% Aug. 21, 2023
@article{Dersy:2023job,
    author = "Dersy, Aur\'elien and Schwartz, Matthew D. and Zhiboedov, Alexander",
    title = "{Reconstructing $S$-matrix Phases with Machine Learning}",
    eprint = "2308.09451",
    journal="JHEP",
    volume="05",
    pages="200",
    doi="10.1007/JHEP05(2024)200",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    reportNumber = "CERN-TH-2023-161",
    month = "8",
    year = "2023"
}

@article{Erdmann:2023ngr,
    author = "Erdmann, Johannes and van der Graaf, Aaron and Mausolf, Florian and Nackenhorst, Olaf",
    title = "{SR-GAN for SR-gamma: photon super resolution at collider experiments}",
    eprint = "2308.09025",
      journal="Eur.Phys.J.C",
      volume="83",
      pages="1001",
      doi="10.1140/epjc/s10052-023-12178-3",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "8",
    year = "2023"
}

% Aug. 17, 2023
@article{Shen:2023ofd,
    author = "Shen, Wei and Wang, Daohan and Yang, Jin Min",
    title = "{Hierarchical High-Point Energy Flow Network for Jet Tagging}",
    eprint = "2308.08300",
      journal="JHEP",
      volume="09",
      pages="135",
      doi="10.1007/JHEP09(2023)135",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2023"
}

% August 16, 2023
@article{Hatefi:2023gpj,
    author = "Hatefi, Armin and Hatefi, Ehsan",
    title = "{Sequential Monte Carlo with Cross-validated Neural Networks for Complexity of Hyperbolic Black Hole Solutions in 4D}",
    eprint = "2308.07907",
      journal="Eur.Phys.J.C",
      volume="83",
      pages="1083",
      doi="10.1140/epjc/s10052-023-12284-2",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "8",
    year = "2023"
}

% Aug. 11, 2023
@article{Chen:2023ind,
    author = "Chen, Siyu and Glioti, Alfredo and Panico, Giuliano and Wulzer, Andrea",
    title = "{Boosting likelihood learning with event reweighting}",
    eprint = "2308.05704",
    journal="JHEP",
    volume="03",
    pages="117",
    doi="10.1007/JHEP03(2024)117",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2023"
}

% Aug. 9, 2023
@article{Amram:2023onf,
    author = "Amram, Oz and Pedro, Kevin",
    title = "{CaloDiffusion with GLaM for High Fidelity Calorimeter Simulation}",
    eprint = "2308.03876",
      journal="Phys.Rev.D",
      volume="108",
      pages="072014",
      doi="10.1103/PhysRevD.108.072014",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "FERMILAB-PUB-23-384-CSAID-PPD",
    month = "8",
    year = "2023"
}

% Aug. 8, 2023
@article{Barrue:2023ysk,
    author = "Barru\'e, Ricardo and Conde-Mu\'\i{}\~no, Patricia and Dao, Valerio and Santos, Rui",
    title = "{Simulation-based inference in the search for CP violation in leptonic WH production}",
    eprint = "2308.02882",
    journal="JHEP",
    volume="04",
    pages="014",
    doi="10.1007/JHEP04(2024)014",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2023"
}

@article{Chekanov:2023uot,
    author = "Chekanov, Sergei V. and Zhang, Rui",
    title = "{Boosting sensitivity to new physics with unsupervised anomaly detection in dijet resonance search}",
    eprint = "2308.02671",
    journal="Eur.Phys.J.Plus",
    volume="139",
    pages="237",
    doi="10.1140/epjp/s13360-024-05018-0",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "ANL-HEP-183852",
    month = "8",
    year = "2023"
}

@article{Choudhury:2023eje,
    author = "Choudhury, Arghya and Mondal, Arpita and Mondal, Subhadeep and Sarkar, Subhadeep",
    title = "{Improving sensitivity of trilinear RPV SUSY searches using machine learning at the LHC}",
    eprint = "2308.02697",
    journal="Phys.Rev.D",
    volume="109",
    pages="035001",
    doi="10.1103/PhysRevD.109.035001",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2023"
}

% Aug. 7, 2023
@article{Mikuni:2023tqg,
    author = "Mikuni, Vinicius and Nachman, Benjamin",
    title = "{CaloScore v2: Single-shot Calorimeter Shower Simulation with Diffusion Models}",
    eprint = "2308.03847",
    journal="JINST",
    volume="19",
    pages="P02001",
    doi="10.1088/1748-0221/19/02/P02001",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2023"
}

% Aug. 4, 2023,
@article{Morandini:2023pwj,
    author = "Morandini, Alessandro and Ferber, Torben and Kahlhoefer, Felix",
    title = "{Reconstructing axion-like particles from beam dumps with simulation-based inference}",
    eprint = "2308.01353",
    journal="Eur.Phys.J.C",
    volume="84",
    pages="200",
    doi="10.1140/epjc/s10052-024-12557-4",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "TTP23-031, P3H-23-054",
    month = "8",
    year = "2023"
}

% Aug. 2, 2023
@article{Prasad:2023zdd,
    author = "Prasad, Suraj and Mallick, Neelkamal and Sahoo, Raghunath",
    title = "{Inclusive, prompt and non-prompt $\rm{J}/\psi$ identification in proton-proton collisions at the Large Hadron Collider using machine learning}",
    eprint = "2308.00329",
    journal="Phys.Rev.D",
    volume="109",
    pages="014005",
    doi="10.1103/PhysRevD.109.014005",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2023"
}

% Aug. 1, 2023
@article{Bogatskiy:2023nnw,
    author = "Bogatskiy, Alexander and Hoffman, Timothy and Miller, David W. and Offermann, Jan T. and Liu, Xiaoyang",
    title = "{Explainable Equivariant Neural Networks for Particle Physics: PELICAN}",
    eprint = "2307.16506",
    journal="JHEP",
    volume="03",
    pages="113",
    doi="10.1007/JHEP03(2024)113",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2023"
}

@article{Schroder:2023akt,
    author = {Schr\"oder, Alexander and van Velzen, Leon and Kelder, Maurits and Sch\"afer, Sascha},
    title = "{Improving the temporal resolution of event-based electron detectors using neural network cluster analysis}",
    eprint = "2307.16666",
      journal="Ultramicroscopy",
      volume="256",
      pages="113881",
      doi="10.1016/j.ultramic.2023.113881",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "7",
    year = "2023"
}

% Jul. 31, 2023
@article{Wang:2023cac,
    author = "Wang, Botan and Wang, Yi and Han, Dong and Xiao, Zhigang and Zhang, Yapeng",
    title = "{Determination of impact parameter for CEE with Digi-input neural networks}",
    eprint = "2307.15355",
    journal="JINST",
    volume="19",
    pages="P05009",
    doi="10.1088/1748-0221/19/05/P05009",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "7",
    year = "2023"
}

@article{Murnane:2023ksa,
    author = "Murnane, Daniel",
    title = "{Graph Structure from Point Clouds: Geometric Attention is All You Need}",
    eprint = "2307.16662",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "7",
    year = "2023"
}

% Jul. 26, 2023
@article{Imani:2023blb,
    author = "Imani, Zeviel and Aeron, Shuchin and Wongjirad, Taritree",
    title = "{Score-based Diffusion Models for Generating Liquid Argon Time Projection Chamber Images}",
    eprint = "2307.13687",
    journal="Phys.Rev.D",
    volume="109",
    pages="072011",
    doi="10.1103/PhysRevD.109.072011",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "7",
    year = "2023"
}

@article{Franz:2023gic,
    author = "Franz, Noah and Dennis, Mitchell and Sakstein, Jeremy",
    title = "{Tip of the Red Giant Branch Bounds on the Neutrino Magnetic Dipole Moment Revisited}",
    eprint = "2307.13050",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2023"
}

% Jul. 24, 2023
@article{Golling:2023yjq,
    author = "Golling, Tobias and Kasieczka, Gregor and Krause, Claudius and Mastandrea, Radha and Nachman, Benjamin and Raine, John Andrew and Sengupta, Debajyoti and Shih, David and Sommerhalder, Manuel",
    title = "{The Interplay of Machine Learning--based Resonant Anomaly Detection Methods}",
    eprint = "2307.11157",
    journal="Eur.Phys.J.C",
    volume="84",
    pages="241",
    doi="10.1140/epjc/s10052-024-12607-x",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2023"
}

% Jul. 23, 2023
@inproceedings{Eller:2023myr,
    author = "Eller, Philipp",
    collaboration = "IceCube",
    title = "{Public Kaggle Competition ''IceCube -- Neutrinos in Deep Ice''}",
    booktitle = "{38th International Cosmic Ray Conference}",
    eprint = "2307.15289",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.HE",
    reportNumber = "PoS-ICRC2023-1609",
    month = "7",
    year = "2023"
}

% Jul. 18, 2023
@article{Lange:2023gbe,
    author = "Lange, Torben and Nandan, Saswati and Pata, Joosep and Tani, Laurits and Veelken, Christian",
    title = "{Particle-flow based tau identification at future $\textrm{e}^{+}\textrm{e}^{-}$ colliders}",
    eprint = "2307.07747",
    journal="Comput.Phys.Commun.",
    volume="298",
    pages="109095",
    doi="10.1016/j.cpc.2024.109095",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "7",
    year = "2023"
}

% Jul. 17, 2023
@article{Neu:2023sfh,
    author = "Neu, Marc and Becker, Juergen and Dorwarth, Philipp and Ferber, Torben and Reuter, Lea and Stefkova, Slavomira and Unger, Kai",
    title = "{Real-time Graph Building on FPGAs for Machine Learning Trigger Applications in Particle Physics}",
    eprint = "2307.07289",
    journal="Comput.Softw.Big Sci.",
    volume="8",
    pages="8",
    doi="10.1007/s41781-024-00117-0",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "7",
    year = "2023"
}

@inproceedings{Allaire:2023fgp,
    author = "Allaire, C. and others",
    title = "{Artificial Intelligence for the Electron Ion Collider (AI4EIC)}",
    booktitle = "{Artificial Intelligence for the Electron Ion Collider}",
    eprint = "2307.08593",
    journal="Comput.Softw.Big Sci.",
    volume="8",
    pages="5",
    doi="10.1007/s41781-024-00113-4",
    archivePrefix = "arXiv",
    primaryClass = "physics.acc-ph",
    reportNumber = "FERMILAB-CONF-23-407-AD",
    month = "7",
    year = "2023"
}

% Jul. 14, 2023
@inproceedings{Yu:2023juh,
    author = "Yu, Boyang and Hartmann, Nikolai and Schinnerl, Luca and Kuhr, Thomas",
    title = "{Improved selective background Monte Carlo simulation at Belle II with graph attention networks and weighted events}",
    booktitle = "{21th International Workshop on Advanced Computing and Analysis Techniques in Physics Research}: {AI meets Reality}",
    eprint = "2307.06434",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "7",
    year = "2023"
}

% Jul. 13, 2023
@inproceedings{Rabemananjara:2023xfq,
    author = "Rabemananjara, Tanjona",
    title = "{Towards an integrated determination of proton, deuteron and nuclear PDFs}",
    booktitle = "{30th International Workshop on Deep-Inelastic Scattering and Related Subjects}",
    eprint = "2307.05967",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2023"
}

@article{Leigh:2023zle,
    author = "Leigh, Matthew and Sengupta, Debajyoti and Raine, John Andrew and Qu\'etant, Guillaume and Golling, Tobias",
    title = "{PC-Droid: Faster diffusion and improved quality for particle cloud generation}",
    eprint = "2307.06836",
    journal="Phys.Rev.D",
    volume="109",
    pages="012010",
    doi="10.1103/PhysRevD.109.012010",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "7",
    year = "2023"
}


% Jul. 12, 2023
@article{Forestano:2023ijh,
    author = "Forestano, Roy T. and Matchev, Konstantin T. and Matcheva, Katia and Roman, Alexander and Unlu, Eyup B. and Verner, Sarunas",
    title = "{Accelerated Discovery of Machine-Learned Symmetries: Deriving the Exceptional Lie Groups G2, F4 and E6}",
    eprint = "2307.04891",
      journal="Phys.Lett.B",
      volume="847",
      pages="138266",
      doi="10.1016/j.physletb.2023.138266",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "7",
    year = "2023"
}

% Jul. 11, 2023
@article{Coccaro:2023nol,
    author = "Coccaro, Andrea and Di Bello, Francesco Armando and Giagu, Stefano and Rambelli, Lucrezia and Stocchetti, Nicola",
    title = "{Fast Neural Network Inference on FPGAs for Triggering on Long-Lived Particles at Colliders}",
    eprint = "2307.05152",
      journal="Mach.Learn.Sci.Tech.",
      volume="4",
      pages="045040",
      doi="10.1088/2632-2153/ad087a",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "7",
    year = "2023"
}

% Jul. 11, 2023
@article{Rehm:2023ovj,
    author = "Rehm, Florian and Vallecorsa, Sofia and Borras, Kerstin and Grossi, Michele and Kruecker, Dirk and Varo, Valle",
    title = "{Precise Image Generation on Current Noisy Quantum Computing Devices}",
    eprint = "2307.05253",
      journal="Quantum Sci.Technol.",
      volume="9",
      pages="015009",
      doi="10.1088/2058-9565/ad0389",
    archivePrefix = "arXiv",
    primaryClass = "quant-ph",
    month = "7",
    year = "2023"
}

% Jul. 11, 2023
@article{Algren:2023spv,
    author = "Algren, Malte and Raine, John Andrew and Golling, Tobias",
    title = "{Decorrelation using Optimal Transport}",
    eprint = "2307.05187",
    journal="Eur.Phys.J.C",
    volume="84",
    pages="579",
    doi="10.1140/epjc/s10052-024-12868-6",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2023"
}

% Jul. 10, 2023
@article{Alghamdi:2023emm,
    author = "Alghamdi, T. and others",
    title = "{Toward a generative modeling analysis of CLAS exclusive $2\pi$ photoproduction}",
    eprint = "2307.04450",
      journal="Phys.Rev.D",
      volume="108",
      pages="094030",
      doi="10.1103/PhysRevD.108.094030",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "JLAB-THY-23-3881",
    month = "7",
    year = "2023"
}

@article{Acosta:2023zik,
    author = "Acosta, Fernando Torales and Mikuni, Vinicius and Nachman, Benjamin and Arratia, Miguel and Barish, Kenneth and Karki, Bishnu and Milton, Ryan and Karande, Piyush and Angerami, Aaron",
    title = "{Comparison of Point Cloud and Image-based Models for Calorimeter Fast Simulation}",
    eprint = "2307.04780",
    journal="JINST",
    volume="19",
    pages="P05003",
    doi="10.1088/1748-0221/19/05/P05003",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "7",
    year = "2023"
}

@article{He:2023cfc,
    author = "He, Minxuan and Wang, Daohan",
    title = "{Quark/Gluon Discrimination and Top Tagging with Dual Attention Transformer}",
    eprint = "2307.04723",
      journal="Eur.Phys.J.C",
      volume="83",
      pages="1116",
      doi="10.1140/epjc/s10052-023-12293-1",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2023"
}

% Jul. 6, 2023
@article{Demirtas:2023fir,
    author = "Demirtas, Mehmet and Halverson, James and Maiti, Anindita and Schwartz, Matthew D. and Stoner, Keegan",
    title = "{Neural Network Field Theories: Non-Gaussianity, Actions, and Locality}",
    eprint = "2307.03223",
    journal="Mach.Learn.Sci.Tech.",
    volume="5",
    pages="015002",
    doi="10.1088/2632-2153/ad17d3",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "7",
    year = "2023"
}

% Jul. 5, 2023
@article{Raine:2023fko,
    author = "Raine, John Andrew and Leigh, Matthew and Zoch, Knut and Golling, Tobias",
    title = "{$\nu^2$-Flows: Fast and improved neutrino reconstruction in multi-neutrino final states with conditional normalizing flows}",
    eprint = "2307.02405",
    journal="Phys.Rev.D",
    volume="109",
    pages="012005",
    doi="10.1103/PhysRevD.109.012005",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2023"
}

% July 04, 2023
@article{Caselle:2023mvh,
    author = "Caselle, Michele and Cellini, Elia and Nada, Alessandro",
    title = "{Sampling the lattice Nambu-Goto string using Continuous Normalizing Flows}",
    eprint = "2307.01107",
    journal="JHEP",
    volume="02",
    pages="048",
    doi="10.1007/JHEP02(2024)048",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "7",
    year = "2023"
}

% July 04, 2023
@article{Buzzicotti:2023qdv,
    author = "Buzzicotti, Michele and De Santis, Alessandro and Tantalo, Nazario",
    title = "{Teaching to extract spectral densities from lattice correlators to a broad audience of learning-machines}",
    eprint = "2307.00808",
    journal="Eur.Phys.J.C",
    volume="84",
    pages="32",
    doi="10.1140/epjc/s10052-024-12399-0",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "7",
    year = "2023"
}

@article{Mandal:2023mck,
    author = "Mandal, Tanumoy and Masaye, Aniket and Mitra, Subhadip and Neeraj, Cyrin and Reule, Naveen and Shah, Kalp",
    title = "{Pinning down the leptophobic $Z^\prime$ in leptonic final states with Deep Learning}",
    eprint = "2307.01118",
    journal="Phys.Lett.B",
    volume="849",
    pages="138417",
    doi="10.1016/j.physletb.2023.138417",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2023"
}

% July 01, 2023
@article{XENONCollaboration:2023dar,
    author = "{XENON Collaboration}",
    title = "{Detector signal characterization with a Bayesian network in XENONnT}",
    eprint = "2304.05428",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.1103/PhysRevD.108.012016",
    journal = "Phys. Rev. D",
    volume = "108",
    number = "1",
    pages = "012016",
    year = "2023"
}

% June 29, 2023
@article{Witkowski:2023htt,
    author = "Witkowski, Edmund and Nachman, Benjamin and Whiteson, Daniel",
    title = "{Learning to Isolate Muons in Data}",
    eprint = "2306.15737",
      journal="Phys.Rev.D",
      volume="108",
      pages="092008",
      doi="10.1103/PhysRevD.108.092008",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "6",
    year = "2023"
}

% June 28, 2023
@inproceedings{Gravili:2023hbp,
    author = "{ATLAS Collaboration}",
    title = "{Searches for supersymmetric particles with prompt decays with the ATLAS detector}",
    booktitle = "{30th International Workshop on Deep-Inelastic Scattering and Related Subjects}",
    eprint = "2306.15014",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "6",
    year = "2023"
}

@article{Kumar:2023hlu,
    author = "Kumar, Pranav and Mandal, Taniya and Mondal, Swapnamay",
    title = "{Black holes and the loss landscape in machine learning}",
    eprint = "2306.14817",
      journal="JHEP",
      volume="10",
      pages="107",
      doi="10.1007/JHEP10(2023)107",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    reportNumber = "DIAS-STP-23-11",
    month = "6",
    year = "2023"
}

% Jun. 26, 2023
@article{Kronheim:2023jrl,
    author = "Kronheim, B. and Kadhim, A. Al and Kuchera, M. P. and Prosper, H. B. and Ramanujan, R.",
    title = "{Implicit Quantile Networks For Emulation in Jet Physics}",
    eprint = "2306.15053",
    archivePrefix = "arXiv",
    primaryClass = "physics.comp-ph",
    month = "6",
    year = "2023"
}

@article{Chhibra:2023tyf,
    author = "Chhibra, Simranjit Singh and Chernyavskaya, Nadezda and Maier, Benedikt and Pierini, Maurzio and Hasan, Syed",
    title = "{Autoencoders for Real-Time SUEP Detection}",
    eprint = "2306.13595",
    journal="Eur.Phys.J.Plus",
    volume="139",
    pages="281",
    doi="10.1140/epjp/s13360-024-05028-y",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "6",
    year = "2023"
}

% Jun. 23, 2023
@article{Wen:2023oju,
    author = "Wen, Pengsheng and Holt, Jeremy W. and Li, Maggie",
    title = "{Generative modeling of nucleon-nucleon interactions}",
    eprint = "2306.13007",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    month = "6",
    year = "2023"
}

@article{Dubinski:2023fsy,
    author = "Dubi\'nski, Jan and Deja, Kamil and Wenzel, Sandro and Rokita, Przemys\l{}aw and Trzci\'nski, Tomasz",
    title = "{Machine Learning methods for simulating particle response in the Zero Degree Calorimeter at the ALICE experiment, CERN}",
    eprint = "2306.13606",
    journal="AIP Conf.Proc.",
    volume="3061",
    pages="040001",
    doi="10.1063/5.0203567",
    archivePrefix = "arXiv",
    primaryClass = "cs.CV",
    month = "6",
    year = "2023"
}

@article{Munoz:2023csn,
    author = "Munoz, Jose M. and Batatia, Ilyes and Ortner, Christoph and Romeo, Francesco",
    title = "{Retrieval of Boost Invariant Symbolic Observables via Feature Importance}",
    eprint = "2306.13496",
    archivePrefix = "arXiv",
    primaryClass = "physics.comp-ph",
    month = "6",
    year = "2023"
}

% Jun. 22, 2023
@article{Isildak:2023dnf,
    author = {I\c{s}\i{}ldak, B. and Hayreter, A. and H\"udaverdi, M. and Ilg\i{}n, F. and Salva, S. and \c{S}im\c{s}ek, E. and G\"uyer, S.},
    title = "{Investigating the Violation of Charge-parity Symmetry Through Top-quark ChromoElectric Dipole Moments by Using Machine Learning Techniques}",
    eprint = "2306.11683",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.5506/APhysPolB.54.5-A4",
    journal = "Acta Phys. Polon. B",
    volume = "54",
    number = "5",
    pages = "5-A4",
    year = "2023"
}

@article{Anzalone:2023ugq,
    author = "Anzalone, Luca and Chhibra, Simranjit Singh and Maier, Benedikt and Chernyavskaya, Nadezda and Pierini, Maurizio",
    title = "{Triggering Dark Showers with Conditional Dual Auto-Encoders}",
    eprint = "2306.12955",
    journal="Mach.Learn.Sci.Tech.",
    volume="5",
    pages="035064",
    doi="10.1088/2632-2153/ad652b",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "6",
    year = "2023"
}

@article{Santos:2023mib,
    author = "Santos, Emanuel P. and Pugina, Roberta S. and Hil\'ario, Elo\'\i{}sa G. and Carvalho, Alyson J. A. and Jacinto, Carlos and Rego-Filho, Francisco A. M. G. and Canabarro, Askery and Gomes, Anderson S. L. and Caiut, Jos\'e Maur\'\i{}cio A. and Moura, Andr\'e L.",
    title = "{Towards accurate real-time luminescence thermometry: an automated machine learning approach}",
    eprint = "2307.05497",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "6",
    year = "2023"
}

% Jun. 21, 2023
@article{Hizawa:2023plv,
    author = "Hizawa, N. and Hagino, K. and Yoshida, K.",
    title = "{Analysis of a Skyrme energy density functional with deep learning}",
    eprint = "2306.11314",
      journal="Phys.Rev.C",
      volume="108",
      pages="034311",
      doi="10.1103/PhysRevC.108.034311",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    reportNumber = "KUNS-2970",
    month = "6",
    year = "2023"
}

@article{Liu:2023xgl,
    author = "Liu, Siyu and Gao, Zepeng and Liao, Zehong and Yang, Yu and Su, Jun and Wang, Yongjia and Zhu, Long",
    title = "{Constraining the Woods-Saxon potential in fusion reactions based on a physics-informed neural network}",
    eprint = "2306.11236",
    journal="Phys.Rev.C",
    volume="109",
    pages="024601",
    doi="10.1103/PhysRevC.109.024601",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    month = "6",
    year = "2023"
}

@article{Heinrich:2023bmt,
    author = "Heinrich, Lukas and Mishra-Sharma, Siddharth and Pollard, Chris and Windischhofer, Philipp",
    title = "{Hierarchical Neural Simulation-Based Inference Over Event Ensembles}",
    eprint = "2306.12584",
    archivePrefix = "arXiv",
    primaryClass = "stat.ML",
    reportNumber = "MIT-CTP/5576",
    month = "6",
    year = "2023"
}

% Jun. 20, 2023
@article{ATLAS:2023gog,
    author = "{ATLAS Collaboration}",
    title = "{Fast $b$-tagging at the high-level trigger of the ATLAS experiment in LHC Run 3}",
    eprint = "2306.09738",
      journal="JINST",
      volume="18",
      pages="P11006",
      doi="10.1088/1748-0221/18/11/P11006",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CERN-EP-2023-111",
    month = "6",
    year = "2023"
}

@article{DeZoort:2023dvb,
    author = "DeZoort, Gage and Hanin, Boris",
    title = "{Principles for Initialization and Architecture Selection in Graph Neural Networks with ReLU Activations}",
    eprint = "2306.11668",
    archivePrefix = "arXiv",
    primaryClass = "stat.ML",
    month = "6",
    year = "2023"
}

% Jun. 19, 2023
@article{Schulte:2023gtt,
    author = "Schulte, Nicole and Delaney, Blaise Raheem and Nolte, Niklas and Ciezarek, Gregory Max and Albrecht, Johannes and Williams, Mike",
    title = "{Development of the Topological Trigger for LHCb Run 3}",
    eprint = "2306.09873",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "6",
    year = "2023"
}

@article{Karmakar:2023mhy,
    author = "Karmakar, Annesha and Pal, Anikesh and Kumar, G. Anil and Bhavika and Anand, V. and Tyagi, Mohit",
    title = "{Neutron-Gamma Pulse Shape Discrimination for Organic Scintillation Detector using 2D CNN based Image Classification}",
    eprint = "2306.09356",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "6",
    year = "2023"
}

@article{Knipfer:2023zrv,
    author = "Knipfer, Marco and Meier, Stefan and Heimerl, Jonas and Hommelhoff, Peter and Gleyzer, Sergei",
    title = "{Deep Learning-Based Spatiotemporal Multi-Event Reconstruction for Delay Line Detectors}",
    eprint = "2306.09359",
    journal="Mach.Learn.Sci.Tech.",
    volume="5",
    pages="025019",
    doi="10.1088/2632-2153/ad3d2d",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "6",
    year = "2023"
}

% Jun. 16, 2023
@inproceedings{Agarwal:2023rwr,
    author = "Agarwal, Manan and others",
    title = "{Applications of Deep Learning to physics workflows}",
    eprint = "2306.08106",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "FERMILAB-CONF-23-327-CSAID-ND-PPD",
    month = "6",
    year = "2023"
}

@article{Yoshida:2023wrb,
    author = "Yoshida, Sota",
    title = "{IMSRG-Net: A machine learning-based solver for In-Medium Similarity Renormalization Group}",
    eprint = "2306.08878",
      journal="Phys.Rev.C",
      volume="108",
      pages="044303",
      doi="10.1103/PhysRevC.108.044303",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    month = "6",
    year = "2023"
}

@article{Lasseri:2023dhi,
    author = {Lasseri, Rapha\"el-David and Regnier, David and Frosini, Mika\"el and Verriere, Marc and Schunck, Nicolas},
    title = "{Generative deep-learning reveals collective variables of Fermionic systems}",
    eprint = "2306.08348",
    journal="Phys.Rev.C",
    volume="109",
    pages="064612",
    doi="10.1103/PhysRevC.109.064612",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    month = "6",
    year = "2023"
}

@article{Cai:2023gol,
    author = "Cai, Bao-Jun and Li, Bao-An and Zhang, Zhen",
    title = "{Core States of Neutron Stars from Anatomizing Their Scaled Structure Equations}",
    eprint = "2306.08202",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    doi = "10.3847/1538-4357/acdef0",
    journal = "Astrophys. J.",
    volume = "952",
    number = "2",
    pages = "147",
    year = "2023"
}

% Jun. 14, 2023
@article{Grossi:2023fqq,
    author = "Grossi, Michele and Incudini, Massimiliano and Pellen, Mathieu and Pelliccioli, Giovanni",
    title = "{Amplitude-assisted tagging of longitudinally polarised bosons using wide neural networks}",
    eprint = "2306.07726",
      journal="Eur.Phys.J.C",
      volume="83",
      pages="759",
      doi="10.1140/epjc/s10052-023-11931-y",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2023"
}

% Jun. 13, 2023
@article{Yaary:2023dvw,
    author = "Yaary, Maayan and Barron, Uriel and Dom\'\i{}nguez, Luis Pascual and Chen, Boping and Barak, Liron and Etzion, Erez and Giryes, Raja",
    title = "{Comparing machine learning models for tau triggers}",
    eprint = "2306.06743",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "6",
    year = "2023"
}

@article{Carvalho:2023ele,
    author = "Carvalho, Val\'eria and Ferreira, M\'arcio and Malik, Tuhin and Provid\^encia, Constan\c{c}a",
    title = "{Decoding Neutron Star Observations: Revealing Composition through Bayesian Neural Networks}",
    eprint = "2306.06929",
      journal="Phys.Rev.D",
      volume="108",
      pages="043031",
      doi="10.1103/PhysRevD.108.043031",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    month = "6",
    year = "2023"
}

% June 12, 2023
@article{Kitouni:2023rct,
    author = "Kitouni, Ouail and Nolte, Niklas and Trifinopoulos, Sokratis and Kantamneni, Subhash and Williams, Mike",
    title = "{NuCLR: Nuclear Co-Learned Representations}",
    eprint = "2306.06099",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    month = "6",
    year = "2023"
}


% June 09, 2023
@article{Shenoy:2023ros,
    author = "Shenoy, Rohan and Duarte, Javier and Herwig, Christian and Hirschauer, James and Noonan, Daniel and Pierini, Maurizio and Tran, Nhan and Mantilla Suarez, Cristina",
    title = "{Differentiable Earth Mover's Distance for Data Compression at the High-Luminosity LHC}",
    eprint = "2306.04712",
    journal="Mach.Learn.Sci.Tech.",
    volume="4",
    pages="045058",
    doi="10.1088/2632-2153/ad1139",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "FERMILAB-PUB-23-288-CMS-CSAID",
    month = "6",
    year = "2023"
}

% June 08, 2023
@article{BelleII:2023egc,
    author = "{Belle II Collaboration}",
    title = "{Photon Reconstruction in the Belle II Calorimeter Using Graph Neural Networks}",
    eprint = "2306.04179",
    journal="Comput.Softw.Big Sci.",
    volume="7",
    pages="13",
    doi="10.1007/s41781-023-00105-w",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "6",
    year = "2023"
}

@inproceedings{Duperrin:2023elp,
    author = "{ATLAS Collaboration}",
    title = "{Flavour tagging with graph neural networks with the ATLAS detector}",
    booktitle = "{30th International Workshop on Deep-Inelastic Scattering and Related Subjects}",
    eprint = "2306.04415",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "ATL-PHYS-PROC-2023-017",
    month = "6",
    year = "2023"
}

@article{NOvA:2023uxq,
    author = "{NOvA Collaboration}",
    title = "{Measurement of \ensuremath{\nu}\ensuremath{\mu} charged-current inclusive \ensuremath{\pi}0 production in the NOvA near detector}",
    eprint = "2306.04028",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "FERMILAB-PUB-23-026-AD-CSAID-PPD",
    doi = "10.1103/PhysRevD.107.112008",
    journal = "Phys. Rev. D",
    volume = "107",
    number = "11",
    pages = "112008",
    year = "2023"
}

@article{Yiu:2023ido,
    author = "Yiu, To Chung and Liang, Haozhao and Lee, Jenny",
    title = "{Nuclear mass predictions based on deep neural network and finite-range droplet model (2012)}",
    eprint = "2306.04171",
    journal="Chin.Phys.C",
    volume="48",
    pages="024102",
    doi="10.1088/1674-1137/ad021c",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    reportNumber = "RIKEN-iTHEMS-Report-23",
    month = "6",
    year = "2023"
}

% June 07, 2023
@article{ATLAS:2023azi,
    author = "{ATLAS Collaboration}",
    title = "{Anomaly detection search for new resonances decaying into a Higgs boson and a generic new particle $X$ in hadronic final states using $\sqrt{s} = 13$ TeV $pp$ collisions with the ATLAS detector}",
    eprint = "2306.03637",
      journal="Phys.Rev.D",
      volume="108",
      pages="052009",
      doi="10.1103/PhysRevD.108.052009",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CERN-EP-2023-045",
    month = "6",
    year = "2023"
}

@article{Zuniga-Galindo:2023uwp,
    author = "Z\'u\~niga-Galindo, W. A.",
    title = "{A Correspondence Between Deep Boltzmann Machines and p-Adic Statistical Field Theories}",
    eprint = "2306.03751",
    journal="Adv.Theor.Math.Phys.",
    volume="28",
    pages="679",
    doi="10.4310/atmp.240914023328",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "6",
    year = "2023"
}

% Jun. 6, 2023
@article{Mikuni:2023tok,
    author = "Mikuni, Vinicius and Nachman, Benjamin",
    title = "{High-dimensional and Permutation Invariant Anomaly Detection}",
    eprint = "2306.03933",
    journal="SciPost Phys.",
    volume="16",
    pages="062",
    doi="10.21468/SciPostPhys.16.3.062",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2023"
}

% Jun. 5, 2023
@article{Riberdy:2023awf,
    author = "Riberdy, Michael Joseph and Dutrieux, Herv\'e and Mezrag, C\'edric and Sznajder, Pawe\l{}",
    title = "{Combining lattice QCD and phenomenological inputs on generalised parton distributions at moderate skewness}",
    eprint = "2306.01647",
    journal="Eur.Phys.J.C",
    volume="84",
    pages="201",
    doi="10.1140/epjc/s10052-024-12513-2",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2023"
}

% Jun. 2, 2023
@article{Han:2023djl,
    author = "Han, Tao and Lewis, Ian M. and Liu, Hongkai and Liu, Zhen and Wang, Xing",
    title = "{A Guide to Diagnosing Colored Resonances at Hadron Colliders}",
    eprint = "2306.00079",
      journal="JHEP",
      volume="08",
      pages="173",
      doi="10.1007/JHEP08(2023)173",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2023"
}

@article{Erdogan:2023uws,
    author = "Erdogan, Mete and Baytekin, Nuri Berke and Coban, Serhat Emre and Demir, Alper",
    title = "{Machine Learning and Kalman Filtering for Nanomechanical Mass Spectrometry}",
    eprint = "2306.00563",
    journal="IEEE Sensors J.",
    volume="24",
    pages="6303",
    doi="10.1109/JSEN.2024.3350730",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "6",
    year = "2023"
}

% June 02, 2023
@article{Singha:2023xxq,
    author = "Singha, Ankur and Chakrabarti, Dipankar and Arora, Vipul",
    title = "{Sampling $U(1)$ gauge theory using a re-trainable conditional flow-based model}",
    eprint = "2306.00581",
      journal="Phys.Rev.D",
      volume="108",
      pages="7",
      doi="10.1103/PhysRevD.108.074518",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "6",
    year = "2023"
}

% Jun. 1, 2023
@article{Herbst:2023lug,
    author = "Herbst, Ryan and Coffee, Ryan and Fronk, Nathan and Kim, Kukhee and Kim, Kuktae and Ruckman, Larry and Russell, J. J.",
    title = "{Implementation of a framework for deploying AI inference engines in FPGAs}",
    eprint = "2305.19455",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "5",
    year = "2023"
}

% May 31, 2023
@article{Chen:2023cim,
    author = "Chen, Ziting and Wong, Kin To and Seo, Bojeong and Huang, Mingchen and Parit, Mithilesh K. and Zhen, Haoting and Li, Jensen and Jo, Gyu-Boong",
    title = "{Magnetic field regression using artificial neural networks for cold atom experiments}",
    eprint = "2305.18822",
    journal="Chin.Phys.B",
    volume="33",
    pages="026701",
    doi="10.1088/1674-1056/ad0cc8",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "5",
    year = "2023"
}

%May 30, 2023
@article{ATLAS:2023mny,
    author = "{ATLAS Collaboration}",
    title = "{Measurements of multijet event isotropies using optimal transport with the ATLAS detector}",
    eprint = "2305.16930",
      journal="JHEP",
      volume="10",
      pages="060",
      doi="10.1007/JHEP10(2023)060",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CERN-EP-2023-079",
    month = "5",
    year = "2023"
}

@article{Napolitano:2023jhg,
    author = "Napolitano, F. and others",
    title = "{Novel Machine Learning and Differentiable Programming Techniques applied to the VIP-2 Underground Experiment}",
    eprint = "2305.17153",
      journal="Measur.Sci.Tech.",
      volume="35",
      pages="025501",
      doi="10.1088/1361-6501/ad080a",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "5",
    year = "2023"
}

@article{Chan:2023ume,
    author = "Chan, Jay and Ju, Xiangyang and Kania, Adam and Nachman, Benjamin and Sangli, Vishnu and Siodmok, Andrzej",
    title = "{Fitting a Deep Generative Hadronization Model}",
    eprint = "2305.17169",
      journal="JHEP",
      volume="09",
      pages="084",
      doi="10.1007/JHEP09(2023)084",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2023"
}

%May 29, 2023
@article{Wang:2023kcg,
    author = "Wang, Yongjia and Li, Qingfeng",
    title = "{Machine learning transforms the inference of the nuclear equation of state}",
    eprint = "2305.16686",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    doi = "10.1007/s11467-023-1313-3",
    journal = "Front. Phys. (Beijing)",
    volume = "18",
    number = "6",
    pages = "64402",
    year = "2023"
}

%May 26, 2023
@article{Singh:2023yvj,
    author = "Singh, Jaswant and Toll, Tobias",
    title = "{Predicting the Exclusive Diffractive Electron-Ion Cross Section at small $x$ with Machine Learning in Sar$t$re}",
    eprint = "2305.15880",
      journal="Comput.Phys.Commun.",
      volume="292",
      pages="108872",
      doi="10.1016/j.cpc.2023.108872",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2023"
}

@article{Das:2023ktd,
    author = "Das, Ranit and Favaro, Luigi and Heimel, Theo and Krause, Claudius and Plehn, Tilman and Shih, David",
    title = "{How to Understand Limitations of Generative Networks}",
    eprint = "2305.16774",
    journal="SciPost Phys.",
    volume="16",
    pages="031",
    doi="10.21468/SciPostPhys.16.1.031",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2023"
}

%May 25, 2023
@article{Vaslin:2023lig,
    author = "Vaslin, Louis and Barra, Vincent and Donini, Julien",
    title = "{GAN-AE : An anomaly detection algorithm for New Physics search in LHC data}",
    eprint = "2305.15179",
      journal="Eur.Phys.J.C",
      volume="83",
      pages="1008",
      doi="10.1140/epjc/s10052-023-12169-4",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "5",
    year = "2023"
}

@article{Subba:2023rpm,
    author = "Subba, Amir and Singh, Ritesh K.",
    title = "{Study of anomalous $W^-W^+\gamma/Z$ couplings using polarizations and spin correlations in $e^-e^+\to W^-W^+$ with polarized beams}",
    eprint = "2305.15106",
      journal="Eur.Phys.J.C",
      volume="83",
      pages="1119",
      doi="10.1140/epjc/s10052-023-12292-2",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2023"
}

%May 24, 2023
@article{Esmail:2023axd,
    author = "Esmail, W. and Hammad, A. and Moretti, S.",
    title = "{Sharpening the $A\to Z^{(*)}h $ Signature of the Type-II 2HDM at the LHC through Advanced Machine Learning}",
    eprint = "2305.13781",
      journal="JHEP",
      volume="11",
      pages="020",
      doi="10.1007/JHEP11(2023)020",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2023"
}

@article{Kach:2023rqw,
    author = {K\"ach, Benno and Melzer-Pellmann, Isabell},
    title = "{Attention to Mean-Fields for Particle Cloud Generation}",
    eprint = "2305.15254",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "5",
    year = "2023"
}

%May 23, 2023
@article{Cremer:2023gne,
    author = {Cremer, Lucas and Erdmann, Johannes and Harnik, Roni and Sp\"ah, Jan Lukas and Stamou, Emmanuel},
    title = "{Leveraging on-shell interference to search for FCNCs of the top quark and the Z boson}",
    eprint = "2305.12172",
      journal="Eur.Phys.J.C",
      volume="83",
      pages="871",
      doi="10.1140/epjc/s10052-023-11982-1",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "DO-TH 23/04, FERMILAB-PUB-23-261-T",
    month = "5",
    year = "2023"
}

%May 22, 2023
@inproceedings{Renteria-Estrada:2023buo,
    author = "Renteria-Estrada, David F. and Hernandez-Pinto, Roger J. and Sborlini, G. F. R. and Zurita, Pia",
    title = "{Precision studies for the partonic kinematics calculation through Machine Learning}",
    eprint = "2305.11369",
    journal="Rev.Mex.Fis.Suppl.",
    volume="4",
    pages="021134",
    doi="10.31349/SuplRevMexFis.4.021134",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2023"
}

%May 19, 2023
@article{Buckley:2023rez,
    author = "Buckley, Matthew R. and Krause, Claudius and Pang, Ian and Shih, David",
    title = "{Inductive CaloFlow}",
    eprint = "2305.11934",
    journal="Phys.Rev.D",
    volume="109",
    pages="033006",
    doi="10.1103/PhysRevD.109.033006",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "5",
    year = "2023"
}

%May 18, 2023
@article{ATLAS:2023hbp,
    author = "{ATLAS Collaboration}",
    title = "{Search for periodic signals in the dielectron and diphoton invariant mass spectra using 139 fb$^{-1}$ of $pp$ collisions at $\sqrt{s} =$ 13 TeV with the ATLAS detector}",
    eprint = "2305.10894",
      journal="JHEP",
      volume="10",
      pages="079",
      doi="10.1007/JHEP10(2023)079",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CERN-EP-2023-073",
    month = "5",
    year = "2023"
}

%May 17, 2023
@article{Butter:2023fov,
    author = "Butter, Anja and Huetsch, Nathan and Schweitzer, Sofia Palacios and Plehn, Tilman and Sorrenson, Peter and Spinner, Jonas",
    title = "{Jet Diffusion versus JetGPT -- Modern Networks for the LHC}",
    eprint = "2305.10475",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2023"
}

@article{Shmakov:2023kjj,
    author = "Shmakov, Alexander and Greif, Kevin and Fenton, Michael and Ghosh, Aishik and Baldi, Pierre and Whiteson, Daniel",
    title = "{End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics}",
    eprint = "2305.10399",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "5",
    year = "2023"
}

@article{Wang:2023muv,
    author = "Wang, Han-Sheng and Guo, Shuang and Zhou, Kai and Ma, Guo-Liang",
    title = "{A machine learning study to identify collective flow in small and large colliding systems}",
    eprint = "2305.09937",
    journal="Phys.Rev.C",
    volume="110",
    pages="2",
    doi="10.1103/PhysRevC.110.024910",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    month = "5",
    year = "2023"
}

@article{Rizvi:2023mws,
    author = "Rizvi, Shahzar and Pettee, Mariel and Nachman, Benjamin",
    title = "{Learning Likelihood Ratios with Neural Network Classifiers}",
    eprint = "2305.10500",
    journal="JHEP",
    volume="02",
    pages="136",
    doi="10.1007/JHEP02(2024)136",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2023"
}

%May 16, 2023
@article{Biassoni:2023lih,
    author = "Biassoni, Matteo and Giachero, Andrea and Grossi, Michele and Guffanti, Daniele and Labranca, Danilo and Moretti, Roberto and Rossi, Marco and Terranova, Francesco and Vallecorsa, Sofia",
    title = "{Assessment of few-hits machine learning classification algorithms for low energy physics in liquid argon detectors}",
    eprint = "2305.09744",
    journal="Eur.Phys.J.Plus",
    volume="139",
    pages="723",
    doi="10.1140/epjp/s13360-024-05287-9",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "5",
    year = "2023"
}

@article{Lin:2023bmy,
    author = "Lin, S. and others",
    title = "{Demonstration of Sub-micron UCN Position Resolution using Room-temperature CMOS Sensor}",
    eprint = "2305.09562",
      journal="Nucl.Instrum.Meth.A",
      volume="1057",
      pages="168769",
      doi="10.1016/j.nima.2023.168769",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "5",
    year = "2023"
}

@article{Nachman:2023clf,
    author = "Nachman, Benjamin and Winterhalder, Ramon",
    title = "{ELSA - Enhanced latent spaces for improved collider simulations}",
    eprint = "2305.07696",
      journal="Eur.Phys.J.C",
      volume="83",
      pages="843",
      doi="10.1140/epjc/s10052-023-11989-8",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IRMP-CP3-23-20",
    month = "5",
    year = "2023"
}

@article{AlHammal:2023svo,
    author = "Al Hammal, O. and Martini, M. and Frontera-Pons, J. and Nguyen, T. H. and P\'erez-Ramos, R.",
    title = "{Neural network predictions of inclusive electron-nucleus cross sections}",
    eprint = "2305.08217",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    doi = "10.1103/PhysRevC.107.065501",
    journal = "Phys. Rev. C",
    volume = "107",
    number = "6",
    pages = "065501",
    year = "2023"
}

%May 15, 2023
@article{Athanasakos:2023fhq,
    author = "Athanasakos, Dimitrios and Larkoski, Andrew J. and Mulligan, James and Ploskon, Mateusz and Ringer, Felix",
    title = "{Is infrared-collinear safe information all you need for jet classification?}",
    eprint = "2305.08979",
    journal="JHEP",
    volume="07",
    pages="257",
    doi="10.1007/JHEP07(2024)257",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "JLAB-THY-23-3818, YITP-SB-2023-08",
    month = "5",
    year = "2023"
}

% May 9, 2023
@article{Buhmann:2023bwk,
    author = {Buhmann, Erik and Diefenbacher, Sascha and Eren, Engin and Gaede, Frank and Kasieczka, Gregor and Korol, Anatolii and Korcari, William and Kr\"uger, Katja and McKeown, Peter},
    title = "{CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation}",
    eprint = "2305.04847",
      journal="JINST",
      volume="18",
      pages="P11025",
      doi="10.1088/1748-0221/18/11/P11025",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "DESY-23-061",
    month = "5",
    year = "2023"
}

@article{Dellen:2023avd,
    author = "Dellen, Babette and Jaekel, Uwe and Freitas, Paulo S. A. and Clark, John W.",
    title = "{Predicting nuclear masses with product-unit networks}",
    eprint = "2305.04675",
    journal="Phys.Lett.B",
    volume="852",
    pages="138608",
    doi="10.1016/j.physletb.2024.138608",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    month = "5",
    year = "2023"
}

% May 8, 2023
@article{Sengupta:2023xqy,
    author = "Sengupta, Debajyoti and Klein, Samuel and Raine, John Andrew and Golling, Tobias",
    title = "{CURTAINs Flows For Flows: Constructing Unobserved Regions with Maximum Likelihood Estimation}",
    eprint = "2305.04646",
    journal="SciPost Phys.",
    volume="17",
    pages="046",
    doi="10.21468/SciPostPhys.17.2.046",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2023"
}

@article{Zhou:2023cfs,
    author = "Zhou, Wenjie and Hu, Jinniu and Zhang, Ying and Shen, Hong",
    title = "{Nonparametric Model for the Equations of State of a Neutron Star from Deep Neural Network}",
    eprint = "2305.03323",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    doi = "10.3847/1538-4357/acd335",
    journal = "Astrophys. J.",
    volume = "950",
    number = "2",
    pages = "186",
    year = "2023"
}

%May 7, 2023
@article{Aguilar-Saavedra:2023pde,
    author = "Aguilar-Saavedra, J. A. and Arganda, E. and Joaquim, F. R. and Sand\'a Seoane, R. M. and Seabra, J. F.",
    title = "{Gradient Boosting MUST taggers for highly-boosted jets}",
    eprint = "2305.04957",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IFT-UAM/CSIC-23-29",
    month = "5",
    year = "2023"
}

@article{Bardhan:2023mia,
    author = "Bardhan, Debjyoti and Kats, Yevgeny and Wunch, Noam",
    title = "{Searching for dark jets with displaced vertices using weakly supervised machine learning}",
    eprint = "2305.04372",
      journal="Phys.Rev.D",
      volume="108",
      pages="035036",
      doi="10.1103/PhysRevD.108.035036",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2023"
}

% May 05, 2023
@article{Banta:2023kqe,
    author = "Banta, Ian and Cai, Tianji and Craig, Nathaniel and Zhang, Zhengkang",
    title = "{Structures of Neural Network Effective Theories}",
    eprint = "2305.02334",
    journal="Phys.Rev.D",
    volume="109",
    pages="105007",
    doi="10.1103/PhysRevD.109.105007",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "5",
    year = "2023"
}

%May 5, 2023

@article{Soleymaninia:2023dds,
    author = "Soleymaninia, Maryam and Hashamipour, Hadi and Khanpour, Hamzeh and Shoeib, Samira and Mohamaditabar, Alireza",
    title = "{Nuclear corrections on the charged hadron fragmentation functions in a Neural Network global QCD analysis}",
    eprint = "2305.02664",
    journal="Eur.Phys.J.Plus",
    volume="139",
    pages="794",
    doi="10.1140/epjp/s13360-024-05571-8",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2023"
}

%May 4, 2023
@article{Dennis:2023kfe,
    author = "Dennis, Mitchell T. and Sakstein, Jeremy",
    title = "{Tip of the Red Giant Branch Bounds on the Axion-Electron Coupling Revisited}",
    eprint = "2305.03113",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2023"
}

@article{vanBeekveld:2023ney,
    author = "van Beekveld, Melissa and Grace, Philip and Kvellestad, Anders and Leinweber, Adam and White, Martin",
    title = "{Simple, but not simplified: A new approach for optimising beyond-Standard Model physics searches at the Large Hadron Collider}",
    eprint = "2305.01835",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "ADP-20-29/T1139",
    month = "5",
    year = "2023"
}

% May 03, 2023
@article{Wu:2023lah,
    author = "Wu, Chih-Hung and Yen, Ching-Che",
    title = "{The Expressivity of Classical and Quantum Neural Networks on Entanglement Entropy}",
    eprint = "2305.00997",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "5",
    year = "2023"
}

%May 2, 2023
@article{Shi:2023xfz,
    author = "Shi, Jun and Gui, Long-Cheng and Liang, Jian and Liu, Guoming",
    title = "{$\Sigma$ Resonances from a Neural Network-based Partial Wave Analysis on $K^-p$ Scattering}",
    eprint = "2305.01852",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2023"
}

%May 1, 2023
@article{Guo:2023nfu,
    author = "Guo, Yu-Chen and Feng, Fan and Di, An and Lu, Shi-Qi and Yang, Ji-Chong",
    title = "{MLAnalysis: An open-source program for high energy physics analyses}",
    eprint = "2305.00964",
      journal="Comput.Phys.Commun.",
      volume="294",
      pages="108957",
      doi="10.1016/j.cpc.2023.108957",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2023"
}

@article{Kim:2023koz,
    author = "Kim, C. H. and Ahn, S. and Chae, K. Y. and Hooker, J. and Rogachev, G. V.",
    title = "{Restoring original signals from pile-up using deep learning}",
    eprint = "2304.14496",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    doi = "10.1016/j.nima.2023.168492",
    journal = "Nucl. Instrum. Meth. A",
    volume = "1055",
    pages = "168492",
    year = "2023"
}

%Apr. 30, 2023
@article{Basak:2023wzq,
    author = "Basak, Dipankar and Dey, Kalyan",
    title = "{Estimation of collision centrality in terms of the number of participating nucleons in heavy-ion collisions using deep learning}",
    eprint = "2305.00493",
      journal="Eur.Phys.J.A",
      volume="59",
      pages="174",
      doi="10.1140/epja/s10050-023-01087-4",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2023"
}

%Apr. 28, 2023
@article{Algren:2023qnb,
    author = "Algren, Malte and Golling, Tobias and Guth, Manuel and Pollard, Chris and Raine, John Andrew",
    title = "{Flow Away your Differences: Conditional Normalizing Flows as an Improvement to Reweighting}",
    eprint = "2304.14963",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2023"
}

%Apr. 27, 2023
@article{Nishimura:2023wdu,
    author = "Nishimura, Satsuki and Miyao, Coh and Otsuka, Hajime",
    title = "{Exploring the flavor structure of quarks and leptons with reinforcement learning}",
    eprint = "2304.14176",
      journal="JHEP",
      volume="12",
      pages="021",
      doi="10.1007/JHEP12(2023)021",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "KYUSHU-HET-257",
    month = "4",
    year = "2023"
}

@article{Wu:2023pzn,
    author = "Wu, Huangkai and others",
    title = "{Machine learning method for $^{12}$C event classification and reconstruction in the active target time-projection chamber}",
    eprint = "2304.13233",
      journal="Nucl.Instrum.Meth.A",
      volume="1055",
      pages="168528",
      doi="10.1016/j.nima.2023.168528",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "4",
    year = "2023"
}

@article{Fernando:2023obn,
    author = "Fernando, I. P. and Keller, D.",
    title = "{A Modern Global Extraction of the Sivers Function}",
    eprint = "2304.14328",
      journal="Phys.Rev.D",
      volume="108",
      pages="054007",
      doi="10.1103/PhysRevD.108.054007",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2023"
}

% Apr. 26, 2023
@article{Huang:2023kgs,
    author = "Huang, Yi and Torbunov, Dmitrii and Viren, Brett and Yu, Haiwang and Huang, Jin and Lin, Meifeng and Ren, Yihui",
    title = "{Unsupervised Domain Transfer for Science: Exploring Deep Learning Methods for Translation between LArTPC Detector Simulations with Differing Response Models}",
    eprint = "2304.12858",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "4",
    year = "2023"
}

% Apr. 25, 2023
@article{Ai:2023azx,
    author = "Ai, Pengcheng and Xiao, Le and Deng, Zhi and Wang, Yi and Sun, Xiangming and Huang, Guangming and Wang, Dong and Li, Yulei and Ran, Xinchi",
    title = "{Label-free timing analysis of modularized nuclear detectors with physics-constrained deep learning}",
    eprint = "2304.11930",
      journal="Mach.Learn.Sci.Tech.",
      volume="4",
      pages="045020",
      doi="10.1088/2632-2153/acfd09",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "4",
    year = "2023"
}

% Apr. 24, 2023
@article{NA62:2023wzm,
    author = "{NA62 Collaboration}",
    title = "{Improved calorimetric particle identification in NA62 using machine learning techniques}",
    eprint = "2304.10580",
    journal="JHEP",
    volume="11",
    pages="138",
    doi="10.1007/JHEP11(2023)138",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CERN-EP-2023-066",
    month = "4",
    year = "2023"
}

%Apr. 21, 2023
@inproceedings{Escher:2023oyy,
    author = "Escher, Jutta and others",
    title = "{Improving nuclear data evaluations with predictive reaction theory and indirect measurements}",
    booktitle = "{15th International Conference on Nuclear Data for Science and Technology}",
    eprint = "2304.10034",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    reportNumber = "LLNL-JRNL-841573",
    doi = "10.1051/epjconf/202328403012",
    month = "4",
    year = "2023"
}

%Apr. 20, 2023
@article{Lehner:2023prf,
    author = "Lehner, Christoph and Wettig, Tilo",
    title = "{Gauge-equivariant pooling layers for preconditioners in lattice QCD}",
    eprint = "2304.10438",
    journal="Phys.Rev.D",
    volume="110",
    pages="034517",
    doi="10.1103/PhysRevD.110.034517",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "4",
    year = "2023"
}

%Apr. 19, 2023
@article{Mumpower:2023lch,
    author = "Mumpower, Matthew and Li, Mengke and Sprouse, Trevor M. and Meyer, Bradley S. and Lovell, Amy E. and Mohan, Arvind T.",
    title = "{Bayesian averaging for ground state masses of atomic nuclei in a Machine Learning approach}",
    eprint = "2304.08546",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    reportNumber = "LA-UR-23-23224",
    doi = "10.3389/fphy.2023.1198572",
    journal = "Front. in Phys.",
    volume = "11",
    pages = "1198572",
    year = "2023"
}

@article{GarciaPardinas:2023pmx,
    author = "Garc\'\i{}a Pardinas, Juli\'an and Calvi, Marta and Eschle, Jonas and Mauri, Andrea and Meloni, Simone and Mozzanica, Martina and Serra, Nicola",
    title = "{GNN for Deep Full Event Interpretation and hierarchical reconstruction of heavy-hadron decays in proton-proton collisions}",
    eprint = "2304.08610",
      journal="Comput.Softw.Big Sci.",
      volume="7",
      pages="12",
      doi="10.1007/s41781-023-00107-8",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "4",
    year = "2023"
}

%Apr. 18, 2023
@inproceedings{Meyer:2023ffd,
    author = "{ALPS Collaboration}",
    title = "{A first application of machine and deep learning for background rejection in the ALPS II TES detector}",
    booktitle = "{17th Workshop on Axions, WIMPs and WISPs}",
    eprint = "2304.08406",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.1002/andp.202200545",
    month = "4",
    year = "2023"
}

@article{Goos:2023opq,
    author = "Goos, Isabel Astrid and Bertou, Xavier and Pierog, Tanguy",
    title = "{Determination of high-energy hadronic interaction properties from observables of proton initiated extensive air showers}",
    eprint = "2304.08007",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "4",
    year = "2023"
}

@article{Flacke:2023eil,
    author = "Flacke, Thomas and Kim, Jeong Han and Kunkel, Manuel and Ko, Pyungwon and Pi, Jun Seung and Porod, Werner and Schwarze, Leonard",
    title = "{Uncovering doubly charged scalars with dominant three-body decays using machine learning}",
    eprint = "2304.09195",
      journal="JHEP",
      volume="11",
      pages="009",
      doi="10.1007/JHEP11(2023)009",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "KIAS-A23009",
    month = "4",
    year = "2023"
}

@article{Qiu:2023ihi,
    author = "Qiu, Shikai and Han, Shuo and Ju, Xiangyang and Nachman, Benjamin and Wang, Haichen",
    title = "{Parton Labeling without Matching: Unveiling Emergent Labelling Capabilities in Regression Models}",
    eprint = "2304.09208",
      journal="Eur.Phys.J.C",
      volume="83",
      pages="622",
      doi="10.1140/epjc/s10052-023-11809-z",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2023"
}

% April 17, 2023
@article{Lal:2023dkj,
    author = "Lal, Shailesh and Majumder, Suvajit and Sobko, Evgeny",
    title = "{The R-mAtrIx Net}",
    eprint = "2304.07247",
    journal="Mach.Learn.Sci.Tech.",
    volume="5",
    pages="035003",
    doi="10.1088/2632-2153/ad56f9",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "4",
    year = "2023"
}

@article{DeZoort:2023vrm,
    author = "DeZoort, Gage and Battaglia, Peter W. and Biscarat, Catherine and Vlimant, Jean-Roch",
    title = "{Graph neural networks at the Large Hadron Collider}",
    doi = "10.1038/s42254-023-00569-0",
    journal = "Nature Rev. Phys.",
    volume = "5",
    number = "5",
    pages = "281--303",
    month = "4",
    year = "2023"
}

%Apr. 16, 2023
@inproceedings{NarcisoFerreira:2023kak,
    author = "Narciso Ferreira, Mauricio",
    title = "{Evidence of the Schwinger mechanism from lattice QCD}",
    booktitle = "{16th International Conference on the Structure of Baryons}",
    eprint = "2304.07800",
      journal="Few Body Syst.",
      volume="64",
      pages="27",
      doi="10.1007/s00601-023-01813-0",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "4",
    year = "2023"
}

%Apr. 15, 2023
@article{Wang:2023poi,
    author = "Wang, Xiao-Yun and Dong, Chen",
    title = "{Research on the distribution formula of QCD strong coupling constant in medium and high energy scale region based on symbolic regression algorithm}",
    eprint = "2304.07682",
    journal="Chin.Phys.Lett.",
    volume="41",
    pages="031201",
    doi="10.1088/0256-307X/41/3/031201",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2023"
}

%Apr. 14, 2023
@article{CrispimRomao:2023ssj,
    author = "Crispim Rom\~ao, Miguel and Milhano, Jos\'e Guilherme and van Leeuwen, Marco",
    title = "{Jet substructure observables for jet quenching in Quark Gluon Plasma: a Machine Learning driven analysis}",
    eprint = "2304.07196",
    journal="SciPost Phys.",
    volume="16",
    pages="015",
    doi="10.21468/SciPostPhys.16.1.015",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2023"
}

%Apr. 13, 2023
@inproceedings{Espejo:2023wzf,
    author = "Espejo, Irina and Perez, Sinclert and Hurtado, Kenyi and Heinrich, Lukas and Cranmer, Kyle",
    title = "{Scaling MadMiner with a deployment on REANA}",
    booktitle = "{21th International Workshop on Advanced Computing and Analysis Techniques in Physics Research}: {AI meets Reality}",
    eprint = "2304.05814",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "4",
    year = "2023"
}

%Apr. 12, 2023
@article{Bender:2023gwr,
    author = "Bender, Julian and Emonts, Patrick and Cirac, J. Ignacio",
    title = "{A variational Monte Carlo algorithm for lattice gauge theories with continuous gauge groups: a study of (2+1)-dimensional compact QED with dynamical fermions at finite density}",
    eprint = "2304.05916",
      journal="Phys.Rev.Res.",
      volume="5",
      pages="043128",
      doi="10.1103/PhysRevResearch.5.043128",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "4",
    year = "2023"
}

@inproceedings{Murnane:2023kfm,
    author = "Murnane, Daniel and Thais, Savannah and Thete, Ameya",
    title = "{Equivariant Graph Neural Networks for Charged Particle Tracking}",
    booktitle = "{21th International Workshop on Advanced Computing and Analysis Techniques in Physics Research}: {AI meets Reality}",
    eprint = "2304.05293",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "4",
    year = "2023"
}

%Apr. 11, 2023
@article{ALICETPC:2023ojd,
    author = "{ALICE TPC Collaboration}",
    title = "{Correction of the baseline fluctuations in the GEM-based ALICE TPC}",
    eprint = "2304.03881",
      journal="JINST",
      volume="18",
      pages="P11021",
      doi="10.1088/1748-0221/18/11/P11021",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "4",
    year = "2023"
}

%Apr. 7, 2023
@article{Kanwar:2023otc,
    author = "Kanwar, Gurtej and Lovato, Alessandro and Rocco, Noemi and Wagman, Michael",
    title = "{Mitigating Green's function Monte Carlo signal-to-noise problems using contour deformations}",
    eprint = "2304.03229",
    journal="Phys.Rev.C",
    volume="109",
    pages="034317",
    doi="10.1103/PhysRevC.109.034317",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    reportNumber = "FERMILAB-PUB-23-128-T",
    month = "4",
    year = "2023"
}

@article{Roche:2023int,
    author = "Roche, Stephen and Bayer, Quincy and Carlson, Benjamin and Ouligian, William and Serhiayenka, Pavel and Stelzer, Joerg and Hong, Tae Min",
    title = "{Nanosecond anomaly detection with decision trees for high energy physics and real-time application to exotic Higgs decays}",
    eprint = "2304.03836",
    journal="Nature Commun.",
    volume="15",
    pages="3527",
    doi="10.1038/s41467-024-47704-8",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "PITT-PACC-2311",
    month = "4",
    year = "2023"
}

%Apr. 06, 2023
@inproceedings{Akar:2023zhd,
    author = "Akar, S. and Peters, M. and Schreiner, H. and Sokoloff, M. D. and Tepe, W.",
    title = "{Comparing and improving hybrid deep learning algorithms for identifying and locating primary vertices}",
    booktitle = "{21th International Workshop on Advanced Computing and Analysis Techniques in Physics Research}: {AI meets Reality}",
    eprint = "2304.02423",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "4",
    year = "2023"
}

@article{Lu:2023gjk,
    author = "Lu, Chih-Ting and Lv, Huifang and Shen, Wei and Wu, Lei and Zhang, Jia",
    title = "{Probing Dark QCD Sector through the Higgs Portal with Machine Learning at the LHC}",
    eprint = "2304.03237",
      journal="JHEP",
      volume="08",
      pages="187",
      doi="10.1007/JHEP08(2023)187",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2023"
}

%Apr. 05, 2023
@article{ATLAS:2023dnm,
    author = "{ATLAS Collaboration}",
    title = "{Evidence of off-shell Higgs boson production from $ZZ$ leptonic decay channels and constraints on its total width with the ATLAS detector}",
    eprint = "2304.01532",
      journal="Phys.Lett.B",
      volume="846",
      pages="138223",
      doi="10.1016/j.physletb.2023.138223",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CERN-EP-2023-023",
    month = "4",
    year = "2023"
}

%Apr. 04, 2023
@article{Dorrill:2023vox,
    author = "Dorrill, Ryan and Felis, Jiffy",
    title = "{Macroscopic Dynamics of Entangled 3+1-Dimensional Systems: A Novel Investigation Into Why My MacBook Cable Tangles in My Backpack Every Single Day}",
    eprint = "2304.00220",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "4",
    year = "2023"
}

@article{R:2023dcr,
    author = "R, Dinesh P.",
    title = "{Locality-constrained autoregressive cum conditional normalizing flow for lattice field theory simulations}",
    eprint = "2304.01798",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "4",
    year = "2023"
}

@article{Guo:2023jkz,
    author = "Guo, Qilong and Gao, Leyun and Mao, Yajun and Li, Qiang",
    title = "{Search for vector-like leptons at a Muon Collider}",
    eprint = "2304.01885",
      journal="Chin.Phys.C",
      volume="47",
      pages="103106",
      doi="10.1088/1674-1137/ace5a7",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2023"
}

%Apr. 03, 2023
@article{ATLAS:2023tyv,
    author = "{ATLAS Collaboration}",
    title = "{New techniques for jet calibration with the ATLAS detector}",
    eprint = "2303.17312",
      journal="Eur.Phys.J.C",
      volume="83",
      pages="761",
      doi="10.1140/epjc/s10052-023-11837-9",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CERN-EP-2023-028",
    month = "3",
    year = "2023"
}

@article{Dong:2023nir,
    author = "Dong, Yi-Fei and Mao, Ying-Chen and Yang, Ji-Chong",
    title = "{Searching for anomalous quartic gauge couplings at muon colliders using principle component analysis}",
    eprint = "2304.01505",
      journal="Eur.Phys.J.C",
      volume="83",
      pages="555",
      doi="10.1140/epjc/s10052-023-11719-0",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2023"
}

@article{Mikuni:2023dvk,
    author = "Mikuni, Vinicius and Nachman, Benjamin and Pettee, Mariel",
    title = "{Fast Point Cloud Generation with Diffusion Models in High Energy Physics}",
    eprint = "2304.01266",
      journal="Phys.Rev.D",
      volume="108",
      pages="036025",
      doi="10.1103/PhysRevD.108.036025",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2023"
}

@article{MB:2023edk,
    author = "MB, Vinaya Krishnan and Nayak, Aruna Kumar and Radhakrishnan, Asrith Krishna",
    title = "{Invariant mass reconstruction of heavy gauge bosons decaying to $\tau$ leptons using machine learning techniques}",
    eprint = "2304.01126",
    journal="Eur.Phys.J.C",
    volume="84",
    pages="219",
    doi="10.1140/epjc/s10052-024-12527-w",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2023"
}

@article{Diefenbacher:2023prl,
    author = {Diefenbacher, Sascha and Eren, Engin and Gaede, Frank and Kasieczka, Gregor and Korol, Anatolii and Kr\"uger, Katja and McKeown, Peter and Rustige, Lennart},
    title = "{New Angles on Fast Calorimeter Shower Simulation}",
    eprint = "2303.18150",
      journal="Mach.Learn.Sci.Tech.",
      volume="4",
      pages="035044",
      doi="10.1088/2632-2153/acefa9",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "DESY-23-039",
    month = "3",
    year = "2023"
}

%Mar. 31, 2023
@article{Krastev:2023fnh,
    author = "Krastev, Plamen G.",
    title = "{A Deep Learning Approach to Extracting Nuclear Matter Properties from Neutron Star Observations}",
    eprint = "2303.17146",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    doi = "10.3390/sym15051123",
    journal = "Symmetry",
    volume = "15",
    number = "5",
    pages = "1123",
    year = "2023"
}

%Mar. 30, 2023
@article{Hudspith:2023loy,
    author = "Hudspith, R. J. and Mohler, D.",
    title = "{Exotic Tetraquark states with two $\bar{b}$-quarks and $J^P=0^+$ and $1^+$$B_s$ states in a nonperturbatively-tuned Lattice NRQCD setup}",
    eprint = "2303.17295",
      journal="Phys.Rev.D",
      volume="107",
      pages="114510",
      doi="10.1103/PhysRevD.107.114510",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "3",
    year = "2023"
}

%Mar. 29, 2023
@article{Golutvin:2023fle,
    author = "Golutvin, Andrei and Iniukhin, Aleksandr and Mauri, Andrea and Owen, Patrick and Serra, Nicola and Ustyuzhanin, Andrey",
    title = "{The DL Advocate: Playing the devil's advocate with hidden systematic uncertainties}",
    eprint = "2303.15956",
      journal="Eur.Phys.J.C",
      volume="83",
      pages="779",
      doi="10.1140/epjc/s10052-023-11925-w",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "3",
    year = "2023"
}

%Mar. 28, 2023
@inproceedings{Stein:2023cnt,
    author = "Stein, Annika",
    title = "{Improving robustness of jet tagging algorithms with adversarial training: exploring the loss surface}",
    booktitle = "{21th International Workshop on Advanced Computing and Analysis Techniques in Physics Research}: {AI meets Reality}",
    eprint = "2303.14511",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "3",
    year = "2023"
}

@article{Pedro:2023sdp,
    author = "Pedro, Kevin and Shyamsundar, Prasanth",
    title = "{Optimal Mass Variables for Semivisible Jets}",
    eprint = "2303.16253",
    journal="SciPost Phys.Core",
    volume="6",
    pages="067",
    doi="10.21468/SciPostPhysCore.6.4.067",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "FERMILAB-PUB-23-112-CSAID-PPD-QIS",
    month = "3",
    year = "2023"
}

@article{Liu:2023gpt,
    author = "Liu, Wei and Li, Jing and Chen, Zixiang and Sun, Hao",
    title = "{Probing Heavy Neutrinos at the LHC from Fat-jet using Machine Learning}",
    eprint = "2303.15920",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2023"
}

@article{Gronroos:2023qff,
    author = {Gr\"onroos, Sonja and Pierini, Maurizio and Chernyavskaya, Nadezda},
    title = "{Automated visual inspection of CMS HGCAL silicon sensor surface using an ensemble of a deep convolutional autoencoder and classifier}",
    eprint = "2303.15319",
      journal="Mach.Learn.Sci.Tech.",
      volume="4",
      pages="035028",
      doi="10.1088/2632-2153/aced7e",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "3",
    year = "2023"
}

@article{Joshi:2023btt,
    author = "Joshi, Bhargav and Li, Taihui and Liang, Buyun and Rusack, Roger and Sun, Ju",
    title = "{Predicting the Future of the CMS Detector: Crystal Radiation Damage and Machine Learning at the LHC}",
    eprint = "2303.15291",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "3",
    year = "2023"
}

%Mar. 27, 2023
@article{H1:2023fzk,
    author = "{H1 Collaboration}",
    title = "{Unbinned Deep Learning Jet Substructure Measurement in High $Q^2$ ep collisions at HERA}",
    eprint = "2303.13620",
      journal="Phys.Lett.B",
      volume="844",
      pages="138101",
      doi="10.1016/j.physletb.2023.138101",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "DESY-23-034",
    month = "3",
    year = "2023"
}

@article{Zhou:2023pti,
    author = "Zhou, Kai and Wang, Lingxiao and Pang, Long-Gang and Shi, Shuzhe",
    title = "{Exploring QCD matter in extreme conditions with Machine Learning}",
    eprint = "2303.15136",
      journal="Prog.Part.Nucl.Phys.",
      volume="104084",
      pages="2023",
      doi="10.1016/j.ppnp.2023.104084",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2023"
}

%Mar. 24, 2023
@inproceedings{Golling:2023juz,
    author = "Golling, Tobias and others",
    title = "{The Mass-ive Issue: Anomaly Detection in Jet Physics}",
    booktitle = "{34th Conference on Neural Information Processing Systems}",
    eprint = "2303.14134",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2023"
}

% March 23, 2023
@article{Khozani:2023bql,
    author = "Khozani, Hosein Karimi and Yao, Zhang and Ye, Yuan",
    title = "{Removing Noise From Simulated Events at The Main Drift Chamber of BESIII Using Convolutional Neural Networks}",
    eprint = "2303.12202",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "3",
    year = "2023"
}

@article{He:2023csq,
    author = "He, Yang-Hui and Heyes, Elli and Hirst, Edward",
    title = "{Machine Learning in Physics and Geometry}",
    eprint = "2303.12626",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "3",
    year = "2023"
}

@article{Ehrke:2023cpn,
    author = "Ehrke, Lukas and Raine, John Andrew and Zoch, Knut and Guth, Manuel and Golling, Tobias",
    title = "{Topological Reconstruction of Particle Physics Processes using Graph Neural Networks}",
    eprint = "2303.13937",
      journal="Phys.Rev.D",
      volume="107",
      pages="116019",
      doi="10.1103/PhysRevD.107.116019",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2023"
}

% Mar.22, 2023
@inproceedings{Barbetti:2023bvi,
    author = "Barbetti, Matteo",
    title = "{Lamarr: LHCb ultra-fast simulation based on machine learning models deployed within Gauss}",
    booktitle = "{21th International Workshop on Advanced Computing and Analysis Techniques in Physics Research}: {AI meets Reality}",
    eprint = "2303.11428",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "3",
    year = "2023"
}

% Mar.21, 2023
@article{Kushawaha:2023dms,
    author = "Kushawaha, Nilay and Furletova, Yulia and Roy, Ankhi and Romanov, Dmitry",
    title = "{Separation of electrons from pions in GEM TRD using deep learning}",
    eprint = "2303.10776",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "3",
    year = "2023"
}

%Mar. 20, 2023
@article{Xu:2023xdc,
    author = "Xu, Allison and Han, Shuo and Ju, Xiangyang and Wang, Haichen",
    title = "{Generative Machine Learning for Detector Response Modeling with a Conditional Normalizing Flow}",
    eprint = "2303.10148",
    journal="JINST",
    volume="19",
    pages="P02003",
    doi="10.1088/1748-0221/19/02/P02003",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "3",
    year = "2023"
}

@article{Aronsson:2023rli,
    author = {Aronsson, Jimmy and M\"uller, David I. and Schuh, Daniel},
    title = "{Geometrical aspects of lattice gauge equivariant convolutional neural networks}",
    eprint = "2303.11448",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "3",
    year = "2023"
}

%Mar. 16, 2023
@article{Yu:2023ehc,
    author = "Yu, Felix J. and Lazar, Jeffrey and Arguelles-Delgado, Carlos A.",
    title = "{Trigger-Level Event Reconstruction for Neutrino Telescopes Using Sparse Submanifold Convolutional Neural Networks}",
    eprint = "2303.08812",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.22323/1.444.1004",
    journal = "PoS",
    volume = "ICRC2023",
    pages = "1004",
    year = "2023"
}

@article{Mengel:2023mnw,
    author = "Mengel, Tanner and Steffanic, Patrick and Hughes, Charles and da Silva, Antonio Carlos Oliveira and Nattrass, Christine",
    title = "{Interpretable Machine Learning Methods Applied to Jet Background Subtraction in Heavy Ion Collisions}",
    eprint = "2303.08275",
      journal="Phys.Rev.C",
      volume="108",
      pages="L021901",
      doi="10.1103/PhysRevC.108.L021901",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "3",
    year = "2023"
}

%Mar. 15, 2023
@article{Kim:2023wuk,
    author = {Kim, Taegyun and Kim, Jeong Han and Kumar, Soubhik and Martin, Adam and M\"unchmeyer, Moritz and Tsai, Yuhsin},
    title = "{Probing Cosmological Particle Production and Pairwise Hotspots with Deep Neural Networks}",
    eprint = "2303.08869",
      journal="Phys.Rev.D",
      volume="108",
      pages="043525",
      doi="10.1103/PhysRevD.108.043525",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2023"
}

@article{Hashemi:2023ruu,
    author = "Hashemi, Hosein and Hartmann, Nikolai and Sharifzadeh, Sahand and Kahn, James and Kuhr, Thomas",
    title = "{Ultra-High-Resolution Detector Simulation with Intra-Event Aware GAN and Self-Supervised Relational Reasoning}",
    eprint = "2303.08046",
    journal="Nature Commun.",
    volume="15",
    pages="4916",
    doi="10.1038/s41467-024-49104-4",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "3",
    year = "2023"
}

%Mar. 14, 2023
@article{EXO:2023pkl,
    author = "{EXO Collaboration}",
    title = "{Generative adversarial networks for scintillation signal simulation in EXO-200}",
    eprint = "2303.06311",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.1088/1748-0221/18/06/P06005",
    journal = "JINST",
    volume = "18",
    number = "06",
    pages = "P06005",
    year = "2023"
}

%Mar. 12, 2023
@article{Wang:2023nab,
    author = "Wang, Xiao-Yun and Dong, Chen and Wang, Quanjin",
    title = "{Determination of the distribution of strong coupling constant with machine learning}",
    eprint = "2303.07968",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2023"
}

@article{Finke:2023veq,
    author = {Finke, Thorben and Kr\"amer, Michael and M\"uck, Alexander and T\"onshoff, Jan},
    title = "{Learning the language of QCD jets with transformers}",
    eprint = "2303.07364",
      journal="JHEP",
      volume="06",
      pages="184",
      doi="10.1007/JHEP06(2023)184",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2023"
}

@article{Kassabov:2023hbm,
    author = "Kassabov, Zahari and Madigan, Maeve and Mantani, Luca and Moore, James and Alvarado, Manuel Morales and Rojo, Juan and Ubiali, Maria",
    title = "{The top quark legacy of the LHC Run II for PDF and SMEFT analyses}",
    eprint = "2303.06159",
      journal="JHEP",
      volume="05",
      pages="205",
      doi="10.1007/JHEP05(2023)205",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2023"
}

@article{He:2023zin,
    author = "He, Wan-Bing and Ma, Yu-Gang and Pang, Long-Gang and Song, Huichao and Zhou, Kai",
    title = "{High energy nuclear physics meets Machine Learning}",
    eprint = "2303.06752",
      journal="Nucl.Sci.Tech.",
      volume="34",
      pages="88",
      doi="10.1007/s41365-023-01233-z",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2023"
}

%Mar. 10, 2023
@article{ATLAS:2023sbu,
    author = "{ATLAS Collaboration}",
    title = "{Search for third-generation vector-like leptons in $pp$ collisions at $\sqrt{s} = 13\,\text{TeV}$ with the ATLAS detector}",
    eprint = "2303.05441",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CERN-EP-2022-236",
    doi = "10.1007/JHEP07(2023)118",
    journal = "JHEP",
    volume = "07",
    pages = "118",
    year = "2023"
}

@article{Grosso:2023ltd,
    author = "Grosso, Gaia and Lai, Nicol\`o and Letizia, Marco and Pazzini, Jacopo and Rando, Marco and Rosasco, Lorenzo and Wulzer, Andrea and Zanetti, Marco",
    title = "{Fast kernel methods for Data Quality Monitoring as a goodness-of-fit test}",
    eprint = "2303.05413",
      journal="Mach.Learn.Sci.Tech.",
      volume="4",
      pages="035029",
      doi="10.1088/2632-2153/acebb7",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "3",
    year = "2023"
}

%Mar. 9, 2023
@inproceedings{Biro:2023kyx,
    author = {B\'\i{}r\'o, G\'abor and Barnaf\"oldi, Gergely G\'abor},
    title = "{Machine Learning based KNO-scaling of charged hadron multiplicities with Hijing++}",
    booktitle = "{21th International Workshop on Advanced Computing and Analysis Techniques in Physics Research}: {AI meets Reality}",
    eprint = "2303.05422",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2023"
}

@article{Leigh:2023toe,
    author = "Leigh, Matthew and Sengupta, Debajyoti and Qu\'etant, Guillaume and Raine, John Andrew and Zoch, Knut and Golling, Tobias",
    title = "{PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics}",
    eprint = "2303.05376",
    journal="SciPost Phys.",
    volume="16",
    pages="018",
    doi="10.21468/SciPostPhys.16.1.018",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2023"
}

%Mar. 8, 2023
@article{Hirvonen:2023lqy,
    author = "Hirvonen, H. and Eskola, K. J. and Niemi, H.",
    title = "{Deep learning for flow observables in ultrarelativistic heavy-ion collisions}",
    eprint = "2303.04517",
      journal="Phys.Rev.C",
      volume="108",
      pages="034905",
      doi="10.1103/PhysRevC.108.034905",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2023"
}

%Mar. 6, 2023
@article{DiBello:2023kzc,
    author = "Di Bello, Francesco Armando and others",
    title = "{Configurable calorimeter simulation for AI applications}",
    eprint = "2303.02101",
      journal="Mach.Learn.Sci.Tech.",
      volume="4",
      pages="035042",
      doi="10.1088/2632-2153/acf186",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "3",
    year = "2023"
}

@inproceedings{Liu:2023siw,
    author = "Liu, Ryan and Calafiura, Paolo and Farrell, Steven and Ju, Xiangyang and Murnane, Daniel Thomas and Pham, Tuan Minh",
    title = "{Hierarchical Graph Neural Networks for Particle Track Reconstruction}",
    booktitle = "{21th International Workshop on Advanced Computing and Analysis Techniques in Physics Research}: {AI meets Reality}",
    eprint = "2303.01640",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "3",
    year = "2023"
}

%Feb. 27, 2023
@article{Nicoli:2023qsl,
    author = "Nicoli, Kim A. and Anders, Christopher J. and Hartung, Tobias and Jansen, Karl and Kessel, Pan and Nakajima, Shinichi",
    title = "{Detecting and Mitigating Mode-Collapse for Flow-based Sampling of Lattice Field Theories}",
    eprint = "2302.14082",
      journal="Phys.Rev.D",
      volume="108",
      pages="114501",
      doi="10.1103/PhysRevD.108.114501",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "2",
    year = "2023"
}

%Feb. 24, 2023
@article{ATLAS:2023bzb,
    author = "ATLAS Collaboration",
    title = "{Search for a light charged Higgs boson in $t \rightarrow H^{\pm}b$ decays, with $H^{\pm} \rightarrow cb$, in the lepton+jets final state in proton-proton collisions at $\sqrt{s}=13$ TeV with the ATLAS detector}",
    eprint = "2302.11739",
      journal="JHEP",
      volume="09",
      pages="004",
      doi="10.1007/JHEP09(2023)004",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CERN-EP-2022-207",
    month = "2",
    year = "2023"
}

@article{Choi:2023slq,
    author = "Choi, SangKwan and Li, Jinmian and Zhang, Cong and Zhang, Rao",
    title = "{Automatic detection of boosted Higgs and top quark jets in event image}",
    eprint = "2302.13460",
      journal="Phys.Rev.D",
      volume="108",
      pages="116002",
      doi="10.1103/PhysRevD.108.116002",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "2",
    year = "2023"
}

@article{Rousselot:2023pcj,
    author = "Rousselot, Armand and Spannowsky, Michael",
    title = "{Generative Invertible Quantum Neural Networks}",
    eprint = "2302.12906",
    journal="SciPost Phys.",
    volume="16",
    pages="146",
    doi="10.21468/SciPostPhys.16.6.146",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IPPP/23/10",
    month = "2",
    year = "2023"
}

@article{Diefenbacher:2023vsw,
    author = "Diefenbacher, Sascha and Eren, Engin and Gaede, Frank and Kasieczka, Gregor and Krause, Claudius and Shekhzadeh, Imahn and Shih, David",
    title = "{L2LFlows: Generating High-Fidelity 3D Calorimeter Images}",
    eprint = "2302.11594",
      journal="JINST",
      volume="18",
      pages="P10017",
      doi="10.1088/1748-0221/18/10/P10017",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "2",
    year = "2023"
}

%Feb. 16, 2023
@article{Albandea:2023wgd,
    author = "Albandea, David and Del Debbio, Luigi and Hern\'andez, Pilar and Kenway, Richard and Rossney, Joe Marsh and Ramos, Alberto",
    title = "{Learning Trivializing Flows}",
    eprint = "2302.08408",
      journal="Eur.Phys.J.C",
      volume="83",
      pages="676",
      doi="10.1140/epjc/s10052-023-11838-8",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    reportNumber = "IFIC/23-07",
    month = "2",
    year = "2023"
}

@article{Larkoski:2023nye,
    author = "Larkoski, Andrew J. and Rathjens, Denis and Veatch, Jason and Walker, Joel W.",
    title = "{Jet SIFT-ing: a new scale-invariant jet clustering algorithm for the substructure era}",
    eprint = "2302.08609",
      journal="Phys.Rev.D",
      volume="108",
      pages="016005",
      doi="10.1103/PhysRevD.108.016005",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "2",
    year = "2023"
}

@article{Candido:2023utz,
    author = "Candido, Alessandro and Garcia, Alfonso and Magni, Giacomo and Rabemananjara, Tanjona and Rojo, Juan and Stegeman, Roy",
    title = "{Neutrino Structure Functions from GeV to EeV Energies}",
    eprint = "2302.08527",
      doi="10.1007/JHEP05(2023)149",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "Nikhef 2022-014, Edinburgh 2022/27, TIF-UNIMI-2023-5",
    month = "2",
    year = "2023"
}

@article{Anisha:2023xmh,
    author = "Anisha and Atkinson, Oliver and Bhardwaj, Akanksha and Englert, Christoph and Naskar, Wrishik and Stylianou, Panagiotis",
    title = "{On the BSM reach of four top production at the LHC}",
    eprint = "2302.08281",
      journal="Phys.Rev.D",
      volume="108",
      pages="035001",
      doi="10.1103/PhysRevD.108.035001",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "DESY-23-025",
    month = "2",
    year = "2023"
}

@article{Aad:2023ula,
    author = "Aad, Georges and Calvet, Thomas and Chiedde, Nemer and Faure, Robert and Fortin, Etienne Marie and Laatu, Lauri and Monnier, Emmanuel and Sur, Nairit",
    title = "{Firmware implementation of a recurrent neural network for the computation of the energy deposited in the liquid argon calorimeter of the ATLAS experiment}",
    eprint = "2302.07555",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    doi = "10.1088/1748-0221/18/05/P05017",
    journal = "JINST",
    volume = "18",
    number = "05",
    pages = "P05017",
    year = "2023"
}

@article{Tyson:2023zkx,
    author = "Tyson, Richard and Gavalian, Gagik and Ireland, David and McKinnon, Bryan",
    title = "{Deep learning level-3 electron trigger for CLAS12}",
    eprint = "2302.07635",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    doi = "10.1016/j.cpc.2023.108783",
    journal = "Comput. Phys. Commun.",
    volume = "290",
    pages = "108783",
    year = "2023"
}

% Feb. 14, 2023
@article{Breitenmoser:2023tmi,
    author = "Breitenmoser, David and Cerutti, Francesco and Butterweck, Gernot and Kasprzak, Malgorzata Magdalena and Mayer, Sabine",
    title = "{Emulator-based Bayesian Inference on Non-Proportional Scintillation Models by Compton-Edge Probing}",
    eprint = "2302.05641",
      journal="Nature Commun.",
      volume="14",
      pages="7790",
      doi="10.1038/s41467-023-42574-y",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "2",
    year = "2023"
}

@inproceedings{Okabe:2023efz,
    author = "Okabe, Ryotaro and Xue, Shangjie and Yu, Jiankai and Liu, Tongtong and Forget, Benoit and Jegelka, Stefanie and Kohse, Gordon and Hu, Lin-wen and Li, Mingda",
    title = "{Tetris-inspired detector with neural network for radiation mapping}",
    eprint = "2302.07099",
    journal="Nature Commun.",
    volume="15",
    pages="3061",
    doi="10.1038/s41467-024-47338-w",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "2",
    year = "2023"
}

% Feb. 14, 2023
@article{McEneaney:2023vwp,
    author = "McEneaney, Matthew and Vossen, Anselm",
    title = "{Domain-adversarial graph neural networks for \ensuremath{\Lambda} hyperon identification with CLAS12}",
    eprint = "2302.05481",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.1088/1748-0221/18/06/P06002",
    journal = "JINST",
    volume = "18",
    number = "06",
    pages = "P06002",
    year = "2023"
}

@article{Lee:2023jew,
    author = "Lee, Hyun-Gi and Park, Jungsic",
    title = "{Restoring the saturation response of a PMT using pulse shape and artificial neural networks}",
    eprint = "2302.06170",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    doi = "10.1093/ptep/ptad047",
    journal = "PTEP",
    volume = "2023",
    number = "5",
    pages = "053C01",
    year = "2023"
}

%Feb. 10, 2023
@article{Lehner:2023bba,
    author = "Lehner, Christoph and Wettig, Tilo",
    title = "{Gauge-equivariant neural networks as preconditioners in lattice QCD}",
    eprint = "2302.05419",
      journal="Phys.Rev.D",
      volume="108",
      pages="034503",
      doi="10.1103/PhysRevD.108.034503",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "2",
    year = "2023"
}

% February 09, 2023
@article{Koh:2023wst,
    author = "Koh, D. and Mishra, A. and Terao, K.",
    title = "{Deep Neural Network Uncertainty Quantification for LArTPC Reconstruction}",
    eprint = "2302.03787",
    journal="JINST",
    volume="18",
    pages="P12013",
    doi="10.1088/1748-0221/18/12/P12013",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "2",
    year = "2023"
}

@article{Zuniga-Galindo:2023hty,
    author = "Z\'u\~niga-Galindo, W. A. and He, Cuiyu and Zambrano-Luna, B. A.",
    title = "{p-Adic statistical field theory and convolutional deep Boltzmann machines}",
    eprint = "2302.03817",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    doi = "10.1093/ptep/ptad061",
    journal = "PTEP",
    volume = "2023",
    number = "6",
    pages = "063A01",
    year = "2023"
}

@article{Forestano:2023qcy,
    author = "Forestano, Roy T. and Matchev, Konstantin T. and Matcheva, Katia and Roman, Alexander and Unlu, Eyup B. and Verner, Sarunas",
    title = "{Discovering Sparse Representations of Lie Groups with Machine Learning}",
    eprint = "2302.05383",
      journal="Phys.Lett.B",
      volume="844",
      pages="138086",
      doi="10.1016/j.physletb.2023.138086",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "2",
    year = "2023"
}

@article{Chan:2023tbf,
    author = "Chan, Jay and Nachman, Benjamin",
    title = "{Unbinned Profiled Unfolding}",
    eprint = "2302.05390",
      journal="Phys.Rev.D",
      volume="108",
      pages="016002",
      doi="10.1103/PhysRevD.108.016002",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "2",
    year = "2023"
}

%Feb. 8, 2023
@article{DPHEP:2023blx,
    author = "{DPHEP Collaboration}",
    title = "{Data Preservation in High Energy Physics -- DPHEP Global Report 2022}",
    eprint = "2302.03583",
      journal="Eur.Phys.J.C",
      volume="83",
      pages="795",
      doi="10.1140/epjc/s10052-023-11885-1",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "DPHEP-2023-01",
    month = "2",
    year = "2023"
}

@article{Palit:2023dvs,
    author = "Palit, Pritam and Shil, Sujay",
    title = "{Probing Electroweak Phase Transition in Singlet scalar extension of Standard Model at HL-LHC through $bbZZ$ channel using parameterized machine learning}",
    eprint = "2302.04191",
    journal="J.Phys.G",
    volume="51",
    pages="095005",
    doi="10.1088/1361-6471/ad4fab",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "2",
    year = "2023"
}

@article{Maitre:2023dqz,
    author = "Ma\^\i{}tre, D. and Truong, H.",
    title = "{One-loop matrix element emulation with factorisation awareness}",
    eprint = "2302.04005",
      doi="10.1007/JHEP05(2023)159",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IPPP/23/06",
    month = "2",
    year = "2023"
}

% Feb. 7, 2023
@article{CMSMuon:2023czf,
    author = "{CMS Muon Collaboration}",
    title = "{Machine Learning based tool for CMS RPC currents quality monitoring}",
    eprint = "2302.02764",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    doi = "10.1016/j.nima.2023.168449",
    journal = "Nucl. Instrum. Meth. A",
    volume = "1054",
    pages = "168449",
    year = "2023"
}

% Feb. 3, 2023
@article{ATLAS:2023qdu,
    author = "{ATLAS Collaboration}",
    title = "{Observation of single-top-quark production in association with a photon using the ATLAS detector}",
    eprint = "2302.01283",
      journal="Phys.Rev.Lett.",
      volume="131",
      pages="181901",
      doi="10.1103/PhysRevLett.131.181901",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CERN-EP-2022-229",
    month = "2",
    year = "2023"
}

% Feb. 2, 2023
@article{Matha:2023tmf,
    author = "Matha, Robin and Barland, Stephane and Gustave, Fran\c{c}ois",
    title = "{High-availability displacement sensing with multi-channel self mixing interferometry}",
    eprint = "2302.00065",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    doi = "10.1364/OE.485955",
    journal = "Opt. Express",
    volume = "31",
    number = "13",
    pages = "21911--21923",
    year = "2023"
}

%Jan. 31, 2023
@article{Janssen:2023ahv,
    author = "Jan\ss{}en, Timo and Ma\^\i{}tre, Daniel and Schumann, Steffen and Siegert, Frank and Truong, Henry",
    title = "{Unweighting multijet event generation using factorisation-aware neural networks}",
    eprint = "2301.13562",
      journal="SciPost Phys.",
      volume="15",
      pages="107",
      doi="10.21468/SciPostPhys.15.3.107",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MCNET-23-01, IPPP/23/04",
    month = "1",
    year = "2023"
}

% Jan. 30, 2023
@article{Charan:2023ldg,
    author = "Charan, Abtin Narimani",
    title = "{Particle identification with the Belle II calorimeter using machine learning}",
    eprint = "2301.11654",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.1088/1742-6596/2438/1/012111",
    journal = "J. Phys. Conf. Ser.",
    volume = "2438",
    number = "1",
    pages = "012111",
    year = "2023"
}

@article{Yue:2023uva,
    author = "Yue, Xin and others",
    title = "{Ultrafast CMOS image sensors and data-enabled super-resolution for multimodal radiographic imaging and tomography}",
    eprint = "2301.11865",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "LA-UR-23-20744, FERMILAB-PUB-23-049-PPD",
    doi = "10.22323/1.420.0041",
    journal = "PoS",
    volume = "Pixel2022",
    pages = "041",
    year = "2023"
}

% Jan. 27, 2023
@article{Wozniak:2023xbe,
    author = {Wo\'zniak, Kinga Anna and Belis, Vasilis and Puljak, Ema and Barkoutsos, Panagiotis and Dissertori, G\"unther and Grossi, Michele and Pierini, Maurizio and Reiter, Florentin and Tavernelli, Ivano and Vallecorsa, Sofia},
    title = "{Quantum anomaly detection in the latent space of proton collision events at the LHC}",
    eprint = "2301.10780",
    archivePrefix = "arXiv",
    primaryClass = "quant-ph",
    month = "1",
    year = "2023"
}

@article{Schuhmacher:2023pro,
    author = "Schuhmacher, Julian and Boggia, Laura and Belis, Vasilis and Puljak, Ema and Grossi, Michele and Pierini, Maurizio and Vallecorsa, Sofia and Tacchino, Francesco and Barkoutsos, Panagiotis and Tavernelli, Ivano",
    title = "{Unravelling physics beyond the standard model with classical and quantum anomaly detection}",
    eprint = "2301.10787",
      journal="Mach.Learn.Sci.Tech.",
      volume="4",
      pages="045031",
      doi="10.1088/2632-2153/ad07f7",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "1",
    year = "2023"
}

@article{Bae:2023eec,
    author = "Bae, Jun Woo and Wu, Tingshiuan C. and Jovanovic, Igor",
    title = "{Reconstruction of fast neutron direction in segmented organic detectors using deep learning}",
    eprint = "2301.10796",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    doi = "10.1016/j.nima.2023.168024",
    journal = "Nucl. Instrum. Meth. A",
    volume = "1049",
    pages = "168024",
    year = "2023"
}

%Jan. 26, 2023
@article{Layer:2023lwi,
    author = "Layer, Lukas and Dorigo, Tommaso and Strong, Giles",
    title = "{Application of Inferno to a Top Pair Cross Section Measurement with CMS Open Data}",
    eprint = "2301.10358",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "1",
    year = "2023"
}

%Jan. 25, 2023
@article{Mallick:2023vgi,
    author = {Mallick, Neelkamal and Prasad, Suraj and Mishra, Aditya Nath and Sahoo, Raghunath and Barnaf\"oldi, Gergely G\'abor},
    title = "{Deep learning predicted elliptic flow of identified particles in heavy-ion collisions at the RHIC and LHC energies}",
    eprint = "2301.10426",
      journal="Phys.Rev.D",
      volume="107",
      pages="094001",
      doi="10.1103/PhysRevD.107.094001",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "1",
    year = "2023"
}

%Jan. 24, 2023
@inproceedings{Keicher:2023mer,
    author = "Keicher, Philip",
    title = "{Machine Learning in Top Physics in the ATLAS and CMS Collaborations}",
    booktitle = "{15th International Workshop on Top Quark Physics}",
    eprint = "2301.09534",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CR-2023/006",
    month = "1",
    year = "2023"
}

@article{ATLAS:2023vxg,
    author = "{ATLAS Collaboration}",
    title = "{Search for a new Z' gauge boson in $4\mu$ events with the ATLAS experiment}",
    eprint = "2301.09342",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CERN-EP-2022-251",
    doi = "10.1007/JHEP07(2023)090",
    journal = "JHEP",
    volume = "07",
    pages = "090",
    year = "2023"
}

@inproceedings{Grosso:2023jxp,
    author = "Grosso, Gaia and Lai, Nicol\`o and Letizia, Marco and Pazzini, Jacopo and Rando, Marco and Wulzer, Andrea and Zanetti, Marco",
    title = "{A fast and flexible machine learning approach to data quality monitoring}",
    booktitle = "{36th Conference on Neural Information Processing Systems}",
    eprint = "2301.08917",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "1",
    year = "2023"
}

%Jan. 22, 2023
@article{Steffanic:2023cyx,
    author = "Steffanic, P. and Hughes, C. and Nattrass, C.",
    title = "{Separating signal from combinatorial jets in a high background environment}",
    eprint = "2301.09148",
      journal="Phys.Rev.C",
      volume="108",
      pages="024909",
      doi="10.1103/PhysRevC.108.024909",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "1",
    year = "2023"
}

% Jan. 20, 2023
@article{Xu:2023fbs,
    author = "Xu, Jun",
    title = "{Bayesian inference of nucleus resonance and neutron skin}",
    eprint = "2301.07884",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    doi = "10.7538/yzk.2022.youxian.0759",
    journal = "Atomic Energ. Sci. Technol.",
    volume = "57",
    pages = "721",
    year = "2023"
}

% Jan. 18, 2023
@article{He:2023urp,
    author = "He, Wanbing and Li, Qingfeng and Ma, Yugang and Niu, Zhongming and Pei, Junchen and Zhang, Yingxun",
    title = "{Machine learning in nuclear physics at low and intermediate energies}",
    eprint = "2301.06396",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    doi = "10.1007/s11433-023-2116-0",
    journal = "Sci. China Phys. Mech. Astron.",
    volume = "66",
    number = "8",
    pages = "282001",
    year = "2023"
}

@article{Schwenker:2023bih,
    author = "Schwenker, B. and Herzberg, L. and Buch, Y. and Frey, A. and Natochii, A. and Vahsen, S. and Nakayama, H.",
    title = "{A neural network for beam background decomposition in Belle~II at SuperKEKB}",
    eprint = "2301.06170",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.1016/j.nima.2023.168112",
    journal = "Nucl. Instrum. Meth. A",
    volume = "1049",
    pages = "168112",
    year = "2023"
}

@article{Mukund:2023oyy,
    author = "Mukund, Nikhil and others",
    title = "{First demonstration of neural sensing and control in a kilometer-scale gravitational wave observatory}",
    eprint = "2301.06221",
    journal="Phys.Rev.Applied",
    volume="20",
    pages="064041",
    doi="10.1103/PhysRevApplied.20.064041",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "1",
    year = "2023"
}

%Jan. 17, 2023
@article{Buhmann:2023pmh,
    author = "Buhmann, Erik and Kasieczka, Gregor and Thaler, Jesse",
    title = "{EPiC-GAN: Equivariant Point Cloud Generation for Particle Jets}",
    eprint = "2301.08128",
      journal="SciPost Phys.",
      volume="15",
      pages="130",
      doi="10.21468/SciPostPhys.15.4.130",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MIT-CTP 5519",
    month = "1",
    year = "2023"
}

%Jan. 13, 2023
@inproceedings{Novosel:2023cki,
    author = "Novosel, Anja and Charan, Abtin Narimani and \v{S}antelj, Luka and Ferber, Torben and Kri\v{z}an, Peter and Golob, Bo\v{s}tjan",
    title = "{Identification of light leptons and pions in the electromagnetic calorimeter of Belle II}",
    booktitle = "{11th International Workshop on Ring Imaging Cherenkov Detectors~}",
    eprint = "2301.05074",
      journal="Nucl.Instrum.Meth.A",
      volume="1056",
      pages="168630",
      doi="10.1016/j.nima.2023.168630",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "1",
    year = "2023"
}

%Jan. 12, 2023
@article{Cai:2023ldc,
    author = "Cai, Tejin and Herner, Kenneth and Yang, Tingjun and Wang, Michael and Flechas, Maria Acosta and Harris, Philip and Holzman, Burt and Pedro, Kevin and Tran, Nhan",
    title = "{Accelerating Machine Learning Inference with GPUs in ProtoDUNE Data Processing}",
    eprint = "2301.04633",
      journal="Comput.Softw.Big Sci.",
      volume="7",
      pages="11",
      doi="10.1007/s41781-023-00101-0",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "FERMILAB-PUB-22-944-ND-PPD-SCD",
    month = "1",
    year = "2023"
}

@article{Forestano:2023fpj,
    author = "Forestano, Roy T. and Matchev, Konstantin T. and Matcheva, Katia and Roman, Alexander and Unlu, Eyup and Verner, Sarunas",
    title = "{Deep Learning Symmetries and Their Lie Groups, Algebras, and Subalgebras from First Principles}",
    eprint = "2301.05638",
      journal="Mach.Learn.Sci.Tech.",
      volume="4",
      pages="025027",
      doi="10.1088/2632-2153/acd989",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "1",
    year = "2023"
}

%Jan. 11, 2023
@article{ATLAS:2023mcc,
    author = "{ATLAS Collaboration}",
    title = "{Search for a new scalar resonance in flavour-changing neutral-current top-quark decays $t \rightarrow qX$ ($q=u,c$), with $X \rightarrow b\bar{b}$, in proton-proton collisions at $\sqrt{s}=13$ TeV with the ATLAS detector}",
    eprint = "2301.03902",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CERN-EP-2022-176",
    doi = "10.1007/JHEP07(2023)199",
    journal = "JHEP",
    volume = "07",
    pages = "199",
    year = "2023"
}

% Jan. 6, 2023
@article{Schreck:2023pzs,
    author = "Schreck, John S. and Hayman, Matthew and Gantos, Gabrielle and Bansemer, Aaron and Gagne, David John",
    title = "{Mimicking non-ideal instrument behavior for hologram processing using neural style translation}",
    eprint = "2301.02757",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    doi = "10.1364/OE.486741",
    month = "1",
    year = "2023"
}

% Jan. 5, 2023
@article{Huang:2023ssr,
    author = "Huang, Andris and Ju, Xiangyang and Lyons, Jacob and Murnane, Daniel and Pettee, Mariel and Reed, Landon",
    title = "{Heterogeneous Graph Neural Network for identifying hadronically decayed tau leptons at the High Luminosity LHC}",
    eprint = "2301.00501",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    doi = "10.1088/1748-0221/18/07/P07001",
    journal = "JINST",
    volume = "18",
    number = "07",
    pages = "P07001",
    year = "2023"
}

@article{Meng:2022lmd,
    author = "Meng, Xin and Zhang, Youwei and Zhang, Xichang and Jin, Shenchao and Wang, Tingran and Jiang, Liang and Xiao, Liantuan and Jia, Suotang and Xiao, Yanhong",
    title = "{Machine Learning Assisted Vector Atomic Magnetometry}",
    eprint = "2301.05707",
      journal="Nature Commun.",
      volume="14",
      pages="6105",
      doi="10.1038/s41467-023-41676-x",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "12",
    year = "2022"
}

@article{Zhang:2023czx,
    author = "Zhang, Zhenyu and Liu, Jiahao and Hu, Jifeng and Wang, Qian and Mei\ss{}ner, Ulf-G.",
    title = "{Revealing the nature of hidden charm pentaquarks with machine learning}",
    eprint = "2301.05364",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1016/j.scib.2023.04.018",
    month = "1",
    year = "2023"
}

%Dec. 30, 2022
@article{Peng:2022wdl,
    author = "Peng, Jhao-Hong and Tseng, Yuan-Heng and Jiang, Fu-Jiun",
    title = "{Machine learning phases of an Abelian gauge theory}",
    eprint = "2212.14655",
      journal="PTEP",
      volume="2023",
      pages="073A03",
      doi="10.1093/ptep/ptad096",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "12",
    year = "2022"
}

@article{Lawrence:2022dba,
    author = "Lawrence, Scott and Yamauchi, Yukari",
    title = "{Deep Learning of Fermion Sign Fluctuations}",
    eprint = "2212.14606",
      journal="Phys.Rev.D",
      volume="107",
      pages="114505",
      doi="10.1103/PhysRevD.107.114505",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    reportNumber = "INT-PUB-22-060",
    month = "12",
    year = "2022"
}

%Dec. 25, 2022
@article{Subba:2022czw,
    author = "Subba, Amir and Singh, Ritesh K.",
    title = "{Role of polarizations and spin-spin correlations of W's in e-e+\textrightarrow{}W-W+ at s=250\,\,GeV to probe anomalous W-W+Z/\ensuremath{\gamma} couplings}",
    eprint = "2212.12973",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1103/PhysRevD.107.073004",
    journal = "Phys. Rev. D",
    volume = "107",
    number = "7",
    pages = "073004",
    year = "2023"
}

% December 23, 2022
@inproceedings{Erbin:2022lls,
    author = "Erbin, Harold and Lahoche, Vincent and Samary, Dine Ousmane",
    title = "{Renormalization in the neural network-quantum field theory correspondence}",
    eprint = "2212.11811",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "12",
    year = "2022"
}

%Dec. 23, 2022
@article{Gao:2022uhg,
    author = "Gao, Xiang and Hanlon, Andrew D. and Holligan, Jack and Karthik, Nikhil and Mukherjee, Swagato and Petreczky, Peter and Syritsyn, Sergey and Zhao, Yong",
    title = "{Unpolarized proton PDF at NNLO from lattice QCD with physical quark masses}",
    eprint = "2212.12569",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    doi = "10.1103/PhysRevD.107.074509",
    journal = "Phys. Rev. D",
    volume = "107",
    number = "7",
    pages = "074509",
    year = "2023"
}

%Dec. 22, 2022
@article{Bhattacherjee:2022gjq,
    author = "Bhattacherjee, Biplob and Bose, Camellia and Chakraborty, Amit and Sengupta, Rhitaja",
    title = "{Boosted top tagging and its interpretation using Shapley values}",
    eprint = "2212.11606",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2022"
}

% December 21, 2022
@article{Cheung:2022itk,
    author = "Cheung, Man-Wai and Dechant, Pierre-Philippe and He, Yang-Hui and Heyes, Elli and Hirst, Edward and Li, Jian-Rong",
    title = "{Clustering Cluster Algebras with Clusters}",
    eprint = "2212.09771",
    journal="Adv.Theor.Math.Phys.",
    volume="27",
    pages="797",
    doi="10.4310/ATMP.2023.v27.n3.a5",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    reportNumber = "LIMS-2022-025",
    month = "12",
    year = "2022"
}

%Dec. 20, 2022
@inproceedings{Kishimoto:2022eum,
    author = "Kishimoto, Tomoe and Morinaga, Masahiro and Saito, Masahiko and Tanaka, Junichi",
    title = "{Decay-aware neural network for event classification in collider physics}",
    eprint = "2212.08759",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "12",
    year = "2022"
}

@article{Onyisi:2022hdh,
    author = "Onyisi, Peter and Shen, Delon and Thaler, Jesse",
    title = "{Comparing Point Cloud Strategies for Collider Event Classification}",
    eprint = "2212.10659",
      journal="Phys.Rev.D",
      volume="108",
      pages="012001",
      doi="10.1103/PhysRevD.108.012001",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MIT-CTP 5473",
    month = "12",
    year = "2022"
}

% Dec. 19, 2022
@inproceedings{Liu:2022dem,
    author = "Liu, Junze and Ghosh, Aishik and Smith, Dylan and Baldi, Pierre and Whiteson, Daniel",
    title = "{Geometry-aware Autoregressive Models for Calorimeter Shower Simulations}",
    booktitle = "{36th Conference on Neural Information Processing Systems}",
    eprint = "2212.08233",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "12",
    year = "2022"
}

%Dec. 18, 2022
@article{Bhattacharyya:2022umc,
    author = "Bhattacharyya, Gautam and Chakraborty, Indrani and Ghosh, Dilip Kumar and Jha, Tapoja and Saha, Gourab",
    title = "{Searching for exotic Higgs bosons from top quark decays at the HL-LHC}",
    eprint = "2212.09061",
    journal="Eur.Phys.J.C",
    volume="84",
    pages="927",
    doi="10.1140/epjc/s10052-024-13274-8",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2022"
}

%Dec. 16, 2022
@article{Bacchio:2022vje,
    author = "Bacchio, Simone and Kessel, Pan and Schaefer, Stefan and Vaitl, Lorenz",
    title = "{Learning trivializing gradient flows for lattice gauge theories}",
    eprint = "2212.08469",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    doi = "10.1103/PhysRevD.107.L051504",
    journal = "Phys. Rev. D",
    volume = "107",
    number = "5",
    pages = "L051504",
    year = "2023"
}

@article{MeyerzuTheenhausen:2022ffb,
    author = "Meyer zu Theenhausen, H. and von Krosigk, B. and Wilson, J. S.",
    title = "{Neural-network-based level-1 trigger upgrade for the SuperCDMS experiment at SNOLAB}",
    eprint = "2212.07864",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    doi = "10.1088/1748-0221/18/06/P06012",
    journal = "JINST",
    volume = "18",
    number = "06",
    pages = "P06012",
    year = "2023"
}

@article{Backes:2022vmn,
    author = "Backes, Mathias and Butter, Anja and Dunford, Monica and Malaescu, Bogdan",
    title = "{An unfolding method based on conditional Invertible Neural Networks (cINN) using iterative training}",
    eprint = "2212.08674",
    journal="SciPost Phys.Core",
    volume="7",
    pages="007",
    doi="10.21468/scipostphyscore.7.1.007",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2022"
}

% December 15, 2022
@article{Ryzhikov:2022lbu,
    author = "Ryzhikov, Artem and Temirkhanov, Aziz and Derkach, Denis and Hushchyn, Mikhail and Kazeev, Nikita and Mokhnenko, Sergei",
    collaboration = "LHCb",
    title = "{Robust Neural Particle Identification Models}",
    eprint = "2212.07274",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.1088/1742-6596/2438/1/012119",
    journal = "J. Phys. Conf. Ser.",
    volume = "2438",
    number = "1",
    pages = "012119",
    year = "2023"
}

@article{Hao:2022zns,
    author = "Hao, Zichun and Kansal, Raghav and Duarte, Javier and Chernyavskaya, Nadezda",
    title = "{Lorentz group equivariant autoencoders}",
    eprint = "2212.07347",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "FERMILAB-PUB-22-963-V",
    doi = "10.1140/epjc/s10052-023-11633-5",
    journal = "Eur. Phys. J. C",
    volume = "83",
    number = "6",
    pages = "485",
    year = "2023"
}

@article{Duckett:2022ccc,
    author = "Duckett, Philippa and Facini, Gabriel and Jastrzebski, Marcin and Malik, Sarah and Scanlon, Tim and Rettie, Sebastien",
    title = "{Reconstructing charged particle track segments with a quantum-enhanced support vector machine}",
    eprint = "2212.07279",
    journal="Phys.Rev.D",
    volume="109",
    pages="052002",
    doi="10.1103/PhysRevD.109.052002",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "12",
    year = "2022"
}

% December 14, 2022
@article{Chen:2022jwd,
    author = "Chen, Siqi and He, Yang-Hui and Hirst, Edward and Nestor, Andrew and Zahabi, Ali",
    title = "{Mahler Measuring the Genetic Code of Amoebae}",
    eprint = "2212.06553",
    journal="Adv.Theor.Math.Phys.",
    volume="27",
    pages="1405",
    doi="10.4310/ATMP.2023.v27.n5.a3",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    reportNumber = "LIMS-2022-024",
    month = "12",
    year = "2022"
}

@article{CMS:2022wjc,
    author = "{CMS Collaboration}",
    title = "{Search for long-lived particles using out-of-time trackless jets in proton-proton collisions at $ \sqrt{s} $ = 13 TeV}",
    eprint = "2212.06695",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CMS-EXO-21-014, CERN-EP-2022-276",
    doi = "10.1007/JHEP07(2023)210",
    journal = "JHEP",
    volume = "07",
    pages = "210",
    year = "2023"
}

@article{Chen:2022asj,
    author = "Chen, Zhuo and Luo, Di and Hu, Kaiwen and Clark, Bryan K.",
    title = "{Simulating 2+1D Lattice Quantum Electrodynamics at Finite Density with Neural Flow Wavefunctions}",
    eprint = "2212.06835",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    reportNumber = "MIT-CTP/5497",
    month = "12",
    year = "2022"
}

%Dec. 13, 2022
@inproceedings{Manganelli:2022whv,
    author = "{CMS Collaboration}",
    title = "{Evidence for Four-Top Quark Production at the LHC}",
    booktitle = "{15th International Workshop on Top Quark Physics}",
    eprint = "2212.06075",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "12",
    year = "2022"
}

@article{Duarte:2022job,
    author = "Duarte, Javier and others",
    title = "{FAIR AI Models in High Energy Physics}",
    eprint = "2212.05081",
    journal="Mach.Learn.Sci.Tech.",
    volume="4",
    pages="045062",
    doi="10.1088/2632-2153/ad12e3",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "12",
    year = "2022"
}

%Dec. 12, 2022
@article{Fore:2022ljl,
    author = "Fore, Bryce and Kim, Jane M. and Carleo, Giuseppe and Hjorth-Jensen, Morten and Lovato, Alessandro and Piarulli, Maria",
    title = "{Dilute neutron star matter from neural-network quantum states}",
    eprint = "2212.04436",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    doi = "10.1103/PhysRevResearch.5.033062",
    journal = "Phys. Rev. Res.",
    volume = "5",
    number = "3",
    pages = "033062",
    year = "2023"
}

@article{Heimel:2022wyj,
    author = "Heimel, Theo and Winterhalder, Ramon and Butter, Anja and Isaacson, Joshua and Krause, Claudius and Maltoni, Fabio and Mattelaer, Olivier and Plehn, Tilman",
    title = "{MadNIS -- Neural Multi-Channel Importance Sampling}",
    eprint = "2212.06172",
      journal="SciPost Phys.",
      volume="15",
      pages="141",
      doi="10.21468/SciPostPhys.15.4.141",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IRMP-CP3-22-56, MCNET-22-22, FERMILAB-PUB-22-915-T",
    month = "12",
    year = "2022"
}

@inproceedings{Mastandrea:2022vas,
    author = "Mastandrea, Radha and Nachman, Benjamin",
    title = "{Efficiently Moving Instead of Reweighting Collider Events with Machine Learning}",
    booktitle = "{36th Conference on Neural Information Processing Systems}",
    eprint = "2212.06155",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2022"
}

@inproceedings{Li:2022jon,
    author = "Li, Aobo and Gruszko, Julieta and Bos, Brady and Caldwell, Thomas and Le\'on, Esteban and Wilkerson, John",
    title = "{Ad-hoc Pulse Shape Simulation using Cyclic Positional U-Net}",
    booktitle = "{36th Conference on Neural Information Processing Systems}",
    eprint = "2212.04950",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "12",
    year = "2022"
}

% Dec. 8, 2022
@article{Tran:2022ago,
    author = "{CMS Collaboration}",
    title = "{Measurement of the cross section of top quark-antiquark pair production in association with a W boson in proton-proton collisions at $\sqrt{s} = 13$ TeV}",
    eprint = "2212.03770",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "SNSN-323-63, CMS-CR-2022-264",
    month = "12",
    year = "2022"
}

% Dec. 6, 2022
@article{Yang:2022eag,
    author = "Yang, Zu-Xing and Fan, Xiao-Hua and Li, Zhi-Pan and Liang, Haozhao",
    title = "{A Kohn-Sham scheme based neural network for nuclear systems}",
    eprint = "2212.02093",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    doi = "10.1016/j.physletb.2023.137870",
    journal = "Phys. Lett. B",
    volume = "840",
    pages = "137870",
    year = "2023"
}

@inproceedings{Goriely:2022upe,
    author = "Goriely, S. and Choplin, A. and Ryssens, W. and Kullmann, I.",
    title = "{Progress in Nuclear Astrophysics: a multi-disciplinary field with still many open questions}",
    booktitle = "{28th International Nuclear Physics Conference}",
    eprint = "2212.02156",
      journal="J.Phys.Conf.Ser.",
      volume="2586",
      pages="012104",
      doi="10.1088/1742-6596/2586/1/012104",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    month = "12",
    year = "2022"
}

@article{Abidi:2022ogh,
    author = "Abidi, H. and Boveia, A. and Cavaliere, V. and Furletov, D. and Gekow, A. and Kalderon, C. W. and Yoo, S.",
    title = "{Charged Particle Tracking with Machine Learning on FPGAs}",
    eprint = "2212.02348",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "12",
    year = "2022"
}

% December 05, 2022
@article{Escalante-Notario:2022fik,
    author = "Escalante-Notario, Enrique and Portillo-Castillo, Ignacio and Ramos-Sanchez, Saul",
    title = "{Autoencoding heterotic orbifolds with arbitrary geometry}",
    eprint = "2212.00821",
    journal="J.Phys.Comm.",
    volume="8",
    pages="025003",
    doi="10.1088/2399-6528/ad246f",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "12",
    year = "2022"
}

%Dec. 5, 2022
@article{Kim:2022rna,
    author = "Kim, Jangho and Unger, Wolfgang",
    title = "{Error reduction using machine learning on Ising worm simulation}",
    eprint = "2212.02365",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    reportNumber = "018",
    doi = "10.22323/1.430.0018",
    journal = "PoS",
    volume = "LATTICE2022",
    pages = "018",
    year = "2023"
}
@article{Bardhan:2022sif,
    author = "Bardhan, Jai and Mandal, Tanumoy and Mitra, Subhadip and Neeraj, Cyrin",
    title = "{Machine learning-enhanced search for a vectorlike-singlet $\mathbf B$ quark decaying to a singlet scalar or pseudoscalar}",
    eprint = "2212.02442",
      journal="Phys.Rev.D",
      volume="107",
      pages="115001",
      doi="10.1103/PhysRevD.107.115001",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2022"
}

%Dec. 2, 2022
@article{DiBello:2022iwf,
    author = "Di Bello, Francesco Armando and others",
    title = "{Reconstructing particles in jets using set transformer and hypergraph prediction networks}",
    eprint = "2212.01328",
      journal="Eur.Phys.J.C",
      volume="83",
      pages="596",
      doi="10.1140/epjc/s10052-023-11677-7",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "12",
    year = "2022"
}

%Dec. 1, 2022
@article{Munoz:2022slm,
    author = "Munoz, Jose M. and Akkoyun, Serkan and Reyes, Zayda P. and Pachon, Leonardo A.",
    title = "{Predicting \ensuremath{\beta}-decay energy with machine learning}",
    eprint = "2211.17136",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    doi = "10.1103/PhysRevC.107.034308",
    journal = "Phys. Rev. C",
    volume = "107",
    number = "3",
    pages = "034308",
    year = "2023"
}

@article{Favoni:2022mcg,
    author = {Favoni, Matteo and Ipp, Andreas and M\"uller, David I.},
    title = "{Applications of Lattice Gauge Equivariant Neural Networks}",
    eprint = "2212.00832",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    doi = "10.1051/epjconf/202227409001",
    journal = "EPJ Web Conf.",
    volume = "274",
    pages = "09001",
    year = "2022"
}

%Nov. 30, 2022
@article{Das:2022cjl,
    author = "Das, Ranit and Kasieczka, Gregor and Shih, David",
    title = "{Feature Selection with Distance Correlation}",
    eprint = "2212.00046",
    journal="Phys.Rev.D",
    volume="109",
    pages="054009",
    doi="10.1103/PhysRevD.109.054009",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2022"
}

%Nov. 29, 2022
@article{Li:2022gpb,
    author = "Li, Tao and Chen, Yu and Wang, Shaobo and Han, Ke and Lin, Heng and Ni, Kaixiang and Wang, Wei",
    title = "{Reconstruction of the event vertex in the PandaX-III experiment with convolution neural network}",
    eprint = "2211.14992",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.1007/JHEP05(2023)200",
    journal = "JHEP",
    volume = "05",
    pages = "200",
    year = "2023"
}

@article{Karsch:2022yka,
    author = "Karsch, Frithjof and Lahiri, Anirban and Neumann, Marius and Schmidt, Christian",
    title = "{A machine learning approach to the classification of phase transitions in many flavor QCD}",
    eprint = "2211.16232",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    doi = "10.22323/1.430.0027",
    journal = "PoS",
    volume = "LATTICE2022",
    pages = "027",
    year = "2023"
}

@article{Jiang:2022zho,
    author = "{P.A.N.D.A. Collaboration}",
    title = "{Deep machine learning for the PANDA software trigger}",
    eprint = "2211.15390",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    doi = "10.1140/epjc/s10052-023-11494-y",
    journal = "Eur. Phys. J. C",
    volume = "83",
    number = "4",
    pages = "337",
    year = "2023"
}


@article{Sale:2022snt,
    author = "Sale, Nicholas and Lucini, Biagio and Giansiracusa, Jeffrey",
    title = "{Persistent homology as a probe for center vortices and deconfinement in SU(2) lattice gauge theory}",
    eprint = "2211.16273",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    doi = "10.22323/1.430.0387",
    journal = "PoS",
    volume = "LATTICE2022",
    pages = "387",
    year = "2023"
}

@article{Dolan:2022ikg,
  author        = {Dolan, Matthew J. and Ore, Ayodele},
  title         = "{TopicFlow: Disentangling quark and gluon jets with normalizing flows}",
  eprint        = {2211.16053},
      journal="Phys.Rev.D",
      volume="107",
      pages="114003",
      doi="10.1103/PhysRevD.107.114003",
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  month         = {11},
  year          = {2022}
}

%Nov. 28, 2022
@article{Yang:2022rlw,
    author = "Yang, Yilong and Zhao, Pengwei",
    title = "{Deep-neural-network approach to solving the ab initio nuclear structure problem}",
    eprint = "2211.13998",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    doi = "10.1103/PhysRevC.107.034320",
    journal = "Phys. Rev. C",
    volume = "107",
    number = "3",
    pages = "034320",
    year = "2023"
}

@article{CMS:2022fxs,
    author = "{CMS Collaboration}",
    title = "{Search for Higgs Boson and Observation of Z Boson through their Decay into a Charm Quark-Antiquark Pair in Boosted Topologies in Proton-Proton Collisions at s=13\,\,TeV}",
    eprint = "2211.14181",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CMS-HIG-21-012, CERN-EP-2022-233",
    doi = "10.1103/PhysRevLett.131.041801",
    journal = "Phys. Rev. Lett.",
    volume = "131",
    number = "4",
    pages = "041801",
    year = "2023"
}

@article{Khan:2022vot,
    author = "Khan, Tanjib and Liu, Tianbo and Sufian, Raza Sabbir",
    title = "{Gluon helicity distribution in the nucleon from lattice QCD and machine learning}",
    eprint = "2211.15587",
      journal="Phys.Rev.D",
      volume="108",
      pages="074502",
      doi="10.1103/PhysRevD.108.074502",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "11",
    year = "2022"
}

% November 24, 2022
@article{Gerdes:2022nzr,
    author = "Gerdes, Mathis and Krippendorf, Sven",
    title = "{CYJAX: A package for Calabi-Yau metrics with JAX}",
    eprint = "2211.12520",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    doi = "10.1088/2632-2153/acdc84",
    journal = "Mach. Learn. Sci. Tech.",
    volume = "4",
    number = "2",
    pages = "025031",
    year = "2023"
}

%Nov. 24, 2022
@article{Roy:2022gge,
    author = "Roy, Avik and Neubauer, Mark S.",
    title = "{Interpretability of an Interaction Network for identifying $H \rightarrow b\bar{b}$ jets}",
    eprint = "2211.12770",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.22323/1.414.0223",
    journal = "PoS",
    volume = "ICHEP2022",
    pages = "223",
    month = "11",
    year = "2022"
}

@article{Kach:2022qnf,
    author = {K\"ach, Benno and Kr\"ucker, Dirk and Melzer-Pellmann, Isabell and Scham, Moritz and Schnake, Simon and Verney-Provatas, Alexi},
    title = "{JetFlow: Generating Jets with Conditioned and Mass Constrained Normalising Flows}",
    eprint = "2211.13630",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "11",
    year = "2022"
}

@article{Kach:2022uzq,
    author = {K\"ach, Benno and Kr\"ucker, Dirk and Melzer-Pellmann, Isabell},
    title = "{Point Cloud Generation using Transformer Encoders and Normalising Flows}",
    eprint = "2211.13623",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "11",
    year = "2022"
}

%Nov. 23, 2022
@article{Neubauer:2022gbu,
    author = "Neubauer, Mark and Feickert, Matthew and Katare, Mihir and Roy, Avik",
    title = "{Deep Learning for the Matrix Element Method}",
    eprint = "2211.11910",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.22323/1.414.0246",
    journal = "PoS",
    volume = "ICHEP2022",
    pages = "246",
    year = "2022"
}

@article{Albandea:2022fky,
    author = "Albandea, David and Del Debbio, Luigi and Hern\'andez, Pilar and Kenway, Richard and Rossney, Joe Marsh and Ramos Martinez, Alberto",
    title = "{Learning trivializing flows}",
    eprint = "2211.12806",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    reportNumber = "IFIC/22-36",
    doi = "10.22323/1.430.0001",
    journal = "PoS",
    volume = "LATTICE2022",
    pages = "001",
    year = "2023"
}

@inproceedings{Cresswell:2022tof,
    author = "Cresswell, Jesse C. and Ross, Brendan Leigh and Loaiza-Ganem, Gabriel and Reyes-Gonzalez, Humberto and Letizia, Marco and Caterini, Anthony L.",
    title = "{CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds}",
    booktitle = "{36th Conference on Neural Information Processing Systems}",
    eprint = "2211.15380",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2022"
}

%Nov. 22, 2022
@article{Rabusov:2022woa,
    author = "Rabusov, Andrei and Greenwald, Daniel and Paul, Stephan",
    title = "{Partial wave analysis of $\tau^-\to\pi^-\pi^+\pi^-\nu_\tau$ at Belle}",
    eprint = "2211.11696",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.22323/1.414.1034",
    journal = "PoS",
    volume = "ICHEP2022",
    pages = "1034",
    year = "2022"
}

@phdthesis{Ballabene:2022fms,
    author = "Ballabene, Eric",
    title = "{Search for Electroweak Production of Supersymmetric Particles in Compressed Mass Spectra With the ATLAS Detector at the LHC}",
    eprint = "2211.11642",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CERN-THESIS-2022-161",
    school = "Milan U., U. Milan (main)",
    year = "2022"
}

@article{Aguilar:2022thg,
    author = "Aguilar, A. C. and De Soto, F. and Ferreira, M. N. and Papavassiliou, J. and Pinto-G\'omez, F. and Roberts, C. D. and Rodr\'\i{}guez-Quintero, J.",
    title = "{Schwinger mechanism for gluons from lattice QCD}",
    eprint = "2211.12594",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "NJU-INP 068/22",
    doi = "10.1016/j.physletb.2023.137906",
    journal = "Phys. Lett. B",
    volume = "841",
    pages = "137906",
    year = "2023"
}

%Nov. 21, 2022
@article{Kansal:2022spb,
    author = "Kansal, Raghav and Li, Anni and Duarte, Javier and Chernyavskaya, Nadezda and Pierini, Maurizio and Orzari, Breno and Tomei, Thiago",
    title = "{Evaluating generative models in high energy physics}",
    eprint = "2211.10295",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "FERMILAB-PUB-22-872-CMS-PPD",
    doi = "10.1103/PhysRevD.107.076017",
    journal = "Phys. Rev. D",
    volume = "107",
    number = "7",
    pages = "076017",
    year = "2023"
}

@inproceedings{Mokhtar:2022pwm,
    author = "Mokhtar, Farouk and Kansal, Raghav and Duarte, Javier",
    title = "{Do graph neural networks learn traditional jet substructure?}",
    booktitle = "{36th Conference on Neural Information Processing Systems}",
    eprint = "2211.09912",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "FERMILAB-CONF-22-889-CMS-PPD",
    month = "11",
    year = "2022"
}

% November 18, 2022
@article{Erbin:2022rgx,
    author = "Erbin, Harold and F\i{}rat, Atakan Hilmi",
    title = "{Characterizing 4-string contact interaction using machine learning}",
    eprint = "2211.09129",
    journal="JHEP",
    volume="04",
    pages="016",
    doi="10.1007/JHEP04(2024)016",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    reportNumber = "MIT-CTP/5494",
    month = "11",
    year = "2022"
}

% November 18, 2022
@article{Berglund:2022gvm,
    author = {Berglund, Per and Butbaia, Giorgi and H\"ubsch, Tristan and Jejjala, Vishnu and Mayorga Pe\~na, Dami\'an and Mishra, Challenger and Tan, Justin},
    title = "{Machine Learned Calabi-Yau Metrics and Curvature}",
    eprint = "2211.09801",
    journal="Adv.Theor.Math.Phys.",
    volume="27",
    pages="1107",
    doi="10.4310/ATMP.2023.v27.n4.a3",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "11",
    year = "2022"
}

%Nov. 17, 2022
@article{CMS:2022idi,
    author = "{CMS Collaboration}",
    title = "{Search for supersymmetry in final states with a single electron or muon using angular correlations and heavy-object identification in proton-proton collisions at $\sqrt{s}$ = 13 TeV}",
    eprint = "2211.08476",
      journal="JHEP",
      volume="09",
      pages="149",
      doi="10.1007/JHEP09(2023)149",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CMS-SUS-21-007, CERN-EP-2022-169",
    month = "11",
    year = "2022"
}

@inproceedings{Huber:2022lpm,
    author = "Huber, Patrick and others",
    title = "{Snowmass Neutrino Frontier Report}",
    booktitle = "{Snowmass 2021}",
    eprint = "2211.08641",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "FERMILAB-FN-1215-ND-PPD-SCD",
    month = "11",
    year = "2022"
}

@article{Kang:2022jbg,
    author = "Kang, Zhaofeng and Zhu, Jiang and Guo, Jun",
    title = "{Massive gauge theory with quasigluon for hot SU(N): Phase transition and thermodynamics}",
    eprint = "2211.09442",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1103/PhysRevD.107.076005",
    journal = "Phys. Rev. D",
    volume = "107",
    number = "7",
    pages = "076005",
    year = "2023"
}

% Nov. 16, 2022
@article{ATLAS:2022ihe,
    author = "{ATLAS Collaboration}",
    title = "{Search for supersymmetry in final states with missing transverse momentum and three or more b-jets in 139 fb$^{-1}$ of proton\textendash{}proton collisions at $\sqrt{s} = 13$~TeV with the ATLAS detector}",
    eprint = "2211.08028",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CERN-EP-2022-213",
    doi = "10.1140/epjc/s10052-023-11543-6",
    journal = "Eur. Phys. J. C",
    volume = "83",
    number = "7",
    pages = "561",
    year = "2023"
}

@article{NEOS-II:2022mov,
    author = "{NEOS-II Collaboration}",
    title = "{Pulse shape discrimination using a convolutional neural network for organic liquid scintillator signals}",
    eprint = "2211.07892",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    doi = "10.1088/1748-0221/18/03/P03003",
    journal = "JINST",
    volume = "18",
    number = "03",
    pages = "P03003",
    year = "2023"
}

%Nov. 15, 2022
@article{Guglielmi:2022ftj,
    author = "Guglielmi, Valentina",
    collaboration = "CMS",
    title = "{Machine learning approaches for parameter reweighting for MC samples of top quark production in CMS}",
    eprint = "2211.07355",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.22323/1.414.1045",
    journal = "PoS",
    volume = "ICHEP2022",
    pages = "1045",
    month = "11",
    year = "2022"
}

@article{Castro:2022zpq,
    author = "Castro, N. and Cranmer, K. and Gritsan, A. V. and Howarth, J. and Magni, G. and Mimasu, K. and Rojo, J. and Roskes, J. and Vryonidou, E. and You, T.",
    title = "{LHC EFT WG Report: Experimental Measurements and Observables}",
    eprint = "2211.08353",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "CERN-LHCEFTWG-2022-001, CERN-LPCC-2022-05",
    month = "11",
    year = "2022"
}

@article{Li:2022ozl,
    author = {Li, Fu-Peng and L\"u, Hong-Liang and Pang, Long-Gang and Qin, Guang-You},
    title = "{Deep-learning quasi-particle masses from QCD equation of state}",
    eprint = "2211.07994",
      journal="Phys.Lett.B",
      volume="844",
      pages="138088",
      doi="10.1016/j.physletb.2023.138088",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2022"
}

%Nov. 14, 2022
@article{Yang:2022dwu,
    author = "Yang, Jingzhe and Tian, Yang and Dai, Wenhan and Yang, Mingxin and Jiang, Lin and Wen, Jingjun and Xue, Tao and Zeng, Ming and Zeng, Zhi and Li, Yulan",
    title = "{A feasibility study of multi-electrode high-purity germanium detector for $^{76}$Ge neutrinoless double beta decay searching}",
    eprint = "2211.06180",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    doi = "10.1088/1748-0221/18/05/P05025",
    journal = "JINST",
    volume = "18",
    number = "05",
    pages = "P05025",
    year = "2023"
}

%Nov. 11, 2022
@article{DiBello:2022rss,
    author = "Di Bello, Francesco Armando and Dreyer, Etienne and Ganguly, Sanmay and Gross, Eilam and Heinrich, Lukas and Kado, Marumi and Kakati, Nilotpal and Shlomi, Jonathan and Soybelman, Nathalie",
    title = "{Conditional Generative Modelling of Reconstructed Particles at Collider Experiments}",
    eprint = "2211.06406",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "11",
    year = "2022"
}

%Nov. 10, 2022
@article{Rigo:2022ces,
    author = "Rigo, Mauro and Hall, Benjamin and Hjorth-Jensen, Morten and Lovato, Alessandro and Pederiva, Francesco",
    title = "{Solving the nuclear pairing model with neural network quantum states}",
    eprint = "2211.04614",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    doi = "10.1103/PhysRevE.107.025310",
    journal = "Phys. Rev. E",
    volume = "107",
    number = "2",
    pages = "025310",
    year = "2023"
}

@article{Bhattacharya:2022kje,
    author = "Bhattacharya, Subhaditya and Biswas, Sanjoy and Pal, Kuntal and Wudka, Jose",
    title = "{Associated production of Higgs and single top at the LHC in presence of the SMEFT operators}",
    eprint = "2211.05450",
      journal="JHEP",
      volume="08",
      pages="015",
      doi="10.1007/JHEP08(2023)015",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2022"
}

@article{Alonso-Monsalve:2022zlm,
    author = "Alonso-Monsalve, Sa\'ul and Sgalaberna, Davide and Zhao, Xingyu and McGrew, Clark and Rubbia, Andr\'e",
    title = "{Artificial intelligence for improved fitting of trajectories of elementary particles in inhomogeneous dense materials immersed in a magnetic field}",
    eprint = "2211.04890",
      journal="Commun.Phys.",
      volume="6",
      pages="119",
      doi="10.1038/s42005-023-01239-4",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "11",
    year = "2022"
}

%Nov. 9, 2022
@article{Builtjes:2022usj,
    author = "Builtjes, Luc and Caron, Sascha and Moskvitina, Polina and Nellist, Clara and de Austri, Roberto Ruiz and Verheyen, Rob and Zhang, Zhongyi",
    title = "{Climbing four tops with graph networks, transformers and pairwise features}",
    eprint = "2211.05143",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2022"
}

@article{Arganda:2022zbs,
    author = "Arganda, Ernesto and Perez, Andres D. and de los Rios, Martin and Sand\'a Seoane, Rosa Mar\'\i{}a",
    title = "{Machine-Learned Exclusion Limits without Binning}",
    eprint = "2211.04806",
    journal="Eur.Phys.J.C",
    volume="83",
    pages="1158",
    doi="10.1140/epjc/s10052-023-12314-z",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IFT-UAM/CSIC-22-134",
    month = "11",
    year = "2022"
}

%Nov. 8, 2022
@article{Zhang:2022hjh,
    author = "Zhang, X. and Lin, W. and Yao, J. M. and Jiao, C. F. and Romero, A. M. and Rodr\'\i{}guez, T. R. and Hergert, H.",
    title = "{Optimization of the generator coordinate method with machine-learning techniques for nuclear spectra and neutrinoless double-\ensuremath{\beta} decay: Ridge regression for nuclei with axial deformation}",
    eprint = "2211.02797",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    doi = "10.1103/PhysRevC.107.024304",
    journal = "Phys. Rev. C",
    volume = "107",
    number = "2",
    pages = "024304",
    year = "2023"
}

%Nov. 7, 2022
@article{Chen:2022ytr,
    author = "Chen, Shile and Savchuk, Oleh and Zheng, Shiqi and Chen, Baoyi and Stoecker, Horst and Wang, Lingxiao and Zhou, Kai",
    title = "{Fourier-flow model generating Feynman paths}",
    eprint = "2211.03470",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    doi = "10.1103/PhysRevD.107.056001",
    journal = "Phys. Rev. D",
    volume = "107",
    number = "5",
    pages = "056001",
    year = "2023"
}

@article{Araz:2022zxk,
    author = "Araz, Jack Y. and Spannowsky, Michael",
    title = "{Quantum-probabilistic Hamiltonian learning for generative modelling \& anomaly detection}",
    eprint = "2211.03803",
    journal="Phys.Rev.A",
    volume="108",
    pages="6",
    doi="10.1103/PhysRevA.108.062422",
    archivePrefix = "arXiv",
    primaryClass = "quant-ph",
    reportNumber = "IPPP/22/77",
    month = "11",
    year = "2022"
}

%Nov. 6, 2022
@article{Luo:2022jzl,
    author = "Luo, Di and Yuan, Shunyue and Stokes, James and Clark, Bryan K.",
    title = "{Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation}",
    eprint = "2211.03198",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    reportNumber = "MIT-CTP/5489",
    month = "11",
    year = "2022"
}

@article{Peixoto:2022zzk,
    author = "Peixoto, Miguel Ca\c{c}ador and Castro, Nuno Filipe and Crispim Rom\~ao, Miguel and Oliveira, Maria Gabriela Jord\~ao and Ochoa, In\^es",
    title = "{Fitting a Collider in a Quantum Computer: Tackling the Challenges of Quantum Machine Learning for Big Datasets}",
    eprint = "2211.03233",
    journal="Front.Artif.Intell.",
    volume="6",
    pages="1268852",
    doi="10.3389/frai.2023.1268852",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2022"
}

%Nov. 5, 2022
@article{Maitre:2022xle,
    author = "Ma\^\i{}tre, Daniel and Santos-Mateos, Roi",
    title = "{Multi-variable Integration with a Neural Network}",
    eprint = "2211.02834",
      journal="JHEP",
      volume="03",
      pages="221",
      doi="10.1007/JHEP03(2023)221",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IPPP/22/76",
    month = "11",
    year = "2022"
}

%Nov. 4, 2022
@article{Klein:2022hdv,
    author = "Klein, Samuel and Golling, Tobias",
    title = "{Decorrelation with conditional normalizing flows}",
    eprint = "2211.02486",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2022"
}

@article{Lei:2022dvn,
    author = "Lei, Minjie and Tsang, Ka Vang and Gasiorowski, Sean and Li, Chuan and Nashed, Youssef and Petrillo, Gianluca and Piazza, Olivia and Ratner, Daniel and Terao, Kazuhiro",
    title = "{Implicit Neural Representation as a Differentiable Surrogate for Photon Propagation in a Monolithic Neutrino Detector}",
    eprint = "2211.01505",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "11",
    year = "2022"
}

%Nov. 3, 2022
@article{Garg:2022tal,
    author = "Garg, Rocky Bala and Hofgard, Elyssa and Tompkins, Lauren and Gray, Heather",
    title = "{Exploration of different parameter optimization algorithms within the context of ACTS software framework}",
    eprint = "2211.00764",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "11",
    year = "2022"
}

@article{GomezAmbrosio:2022mpm,
    author = "Gomez Ambrosio, Raquel and ter Hoeve, Jaco and Madigan, Maeve and Rojo, Juan and Sanz, Veronica",
    title = "{Unbinned multivariate observables for global SMEFT analyses from machine learning}",
    eprint = "2211.02058",
      journal="JHEP",
      volume="03",
      pages="033",
      doi="10.1007/JHEP03(2023)033",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "Nikhef-2022-015",
    month = "11",
    year = "2022"
}
@article{Gouskos:2022xvn,
    author = "Gouskos, Loukas and Iemmi, Fabio and Liechti, Sascha and Maier, Benedikt and Mikuni, Vinicius and Qu, Huilin",
    title = "{Optimal transport for a global event description at high-intensity hadron colliders}",
    eprint = "2211.02029",
      journal="Phys.Rev.D",
      volume="108",
      pages="096003",
      doi="10.1103/PhysRevD.108.096003",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2022"
}

%Nov. 2, 2022
@article{Plehn:2022ftl,
    author = "Plehn, Tilman and Butter, Anja and Dillon, Barry and Krause, Claudius",
    title = "{Modern Machine Learning for LHC Physicists}",
    eprint = "2211.01421",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2022"
}

@article{Gao:2022srd,
    author = "Gao, Jun and Gao, MeiSen and Hobbs, T. J. and Liu, DianYu and Shen, XiaoMin",
    title = "{Simultaneous CTEQ-TEA extraction of PDFs and SMEFT parameters from jet and $ t\overline{t} $ data}",
    eprint = "2211.01094",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1007/JHEP05(2023)003",
    journal = "JHEP",
    volume = "05",
    pages = "003",
    year = "2023"
}

@article{CRESST:2022qor,
    author = "{CRESST Collaboration}",
    title = "{Towards an automated data cleaning with deep learning in CRESST}",
    eprint = "2211.00564",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    doi = "10.1140/epjp/s13360-023-03674-2",
    journal = "Eur. Phys. J. Plus",
    volume = "138",
    number = "1",
    pages = "100",
    year = "2023"
}

%Nov. 1, 2022
@article{Bogatskiy:2022czk,
    author = "Bogatskiy, Alexander and Hoffman, Timothy and Miller, David W. and Offermann, Jan T.",
    title = "{PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant Aggregator Network for Particle Physics}",
    eprint = "2211.00454",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2022"
}

@article{Bai:2022lbv,
    author = "Bai, Lingxiao and Mao, Ying-nan and Wang, Kechen",
    title = "{Probing the mixing parameter |V\ensuremath{\tau}N|2 for heavy neutrinos}",
    eprint = "2211.00309",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1103/PhysRevD.107.095008",
    journal = "Phys. Rev. D",
    volume = "107",
    number = "9",
    pages = "095008",
    year = "2023"
}

%Oct. 27, 2022
@article{Barbosa:2022mmw,
    author = "Barbosa, Diego and D\'\i{}az, Felipe and Quintero, Liliana and Fl\'orez, Andr\'es and Sanchez, Manuel and Gurrola, Alfredo and Sheridan, Elijah and Romeo, Francesco",
    title = "{Probing a $\mathrm{Z}^{\prime}$ with non-universal fermion couplings through top quark fusion, decays to bottom quarks, and machine learning techniques}",
    eprint = "2210.15813",
      journal="Eur.Phys.J.C",
      volume="83",
      pages="413",
      doi="10.1140/epjc/s10052-023-11506-x",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2022"
}

%Oct. 26, 2022
@article{Hallin:2022eoq,
    author = "Hallin, Anna and Kasieczka, Gregor and Quadfasel, Tobias and Shih, David and Sommerhalder, Manuel",
    title = "{Resonant anomaly detection without background sculpting}",
    eprint = "2210.14924",
      journal="Phys.Rev.D",
      volume="107",
      pages="114012",
      doi="10.1103/PhysRevD.107.114012",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2022"
}

%Oct. 25, 2022
@article{Krause:2022jna,
    author = "Krause, Claudius and Pang, Ian and Shih, David",
    title = "{CaloFlow for CaloChallenge Dataset 1}",
    eprint = "2210.14245",
    journal="SciPost Phys.",
    volume="16",
    pages="126",
    doi="10.21468/SciPostPhys.16.5.126",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "10",
    year = "2022"
}
@article{Ma:2022bvt,
    author = "Ma, Fei and Liu, Feiyi and Li, Wei",
    title = "{A jet tagging algorithm of graph network with HaarPooling message passing}",
    eprint = "2210.13869",
      journal="Phys.Rev.D",
      volume="108",
      pages="072007",
      doi="10.1103/PhysRevD.108.072007",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "10",
    year = "2022"
}

%Oct. 24, 2022
@article{Cheng:2022idp,
    author = "Cheng, Taoli",
    title = "{Bridging Machine Learning and Sciences: Opportunities and Challenges}",
    eprint = "2210.13441",
    archivePrefix = "arXiv",
    primaryClass = "stat.ML",
    month = "10",
    year = "2022"
}

%Oct. 21, 2022
@article{Sogaard:2022qgg,
    author = "S\o{}gaard, Andreas and \O{}rs\o{}e, Rasmus F. and Bozianu, Leon and Holm, Morten and Iversen, Kaare Endrup and Guggenmos, Tim and Ha Minh, Martin and Eller, Philipp and Petersen, Troels C.",
    title = "{GraphNeT: Graph neural networks for neutrino telescope event reconstruction}",
    eprint = "2210.12194",
      journal="J.Open Source Softw.",
      volume="8",
      pages="4971",
      doi="10.21105/joss.04971",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.IM",
    month = "10",
    year = "2022"
}

%Oct. 20, 2022
@article{Collins:2022qpr,
    author = "Collins, Jack H. and Huang, Yifeng and Knapen, Simon and Nachman, Benjamin and Whiteson, Daniel",
    title = "{Machine-Learning Compression for Particle Physics Discoveries}",
    eprint = "2210.11489",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "SLAC-PUB-17704",
    month = "10",
    year = "2022"
}

@article{Jiang:2022sfw,
    author = "Jiang, Xu-Hui and Juste, Aurelio and Li, Ying-Ying and Liu, Tao",
    title = "{Detecting new physics as novelty \textemdash{} Complementarity matters}",
    eprint = "2202.02165",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "FERMILAB-PUB-22-035-T",
    doi = "10.1007/JHEP10(2022)085",
    journal = "JHEP",
    volume = "10",
    pages = "085",
    year = "2022"
}

%Oct. 19, 2022
@article{Biro:2022zhl,
    author = {B\'\i{}r\'o, G\'abor and Tank\'o-Bartalis, Bence and Barnaf\"oldi, Gergely G\'abor},
    title = "{Testing of KNO-scaling of charged hadron multiplicities within a Machine Learning based approach}",
    eprint = "2210.10548",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.22323/1.414.1188",
    journal = "PoS",
    volume = "ICHEP2022",
    pages = "1188",
    year = "2022"
}

%Oct. 18, 2022
@inproceedings{Anderlini:2022hgm,
    author = "Anderlini, Lucio and Chimpoesh, Constantine and Kazeev, Nikita and Shishigina, Agata",
    collaboration = "LHCb",
    title = "{Generative models uncertainty estimation}",
    booktitle = "{20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research}: {AI Decoded - Towards Sustainable, Diverse, Performant and Effective Scientific Computing}",
    eprint = "2210.09767",
      journal="J.Phys.Conf.Ser.",
      volume="2438",
      pages="012088",
      doi="10.1088/1742-6596/2438/1/012088",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    reportNumber = "CERN-Poster-2021-1059",
    month = "10",
    year = "2022"
}

%Oct. 13, 2022
@inproceedings{AbhishekAbhishek:2022wby,
    author = "Abhishek, Abhishek and Drechsler, Eric and Fedorko, Wojciech and Stelzer, Bernd",
    title = "{CaloDVAE : Discrete Variational Autoencoders for Fast Calorimeter Shower Simulation}",
    eprint = "2210.07430",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "10",
    year = "2022"
}

%Oct. 12, 2022
@article{ATLAS:2022jhk,
    author = "{ATLAS Collaboration}",
    title = "{Deep generative models for fast photon shower simulation in ATLAS}",
    eprint = "2210.06204",
    journal="Comput.Softw.Big Sci.",
    volume="8",
    pages="7",
    doi="10.1007/s41781-023-00106-9",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CERN-EP-2022-185",
    month = "10",
    year = "2022"
}
@article{Lee:2022kdn,
    author = "Lee, Kyle and Mulligan, James and Ploskon, Mateusz and Ringer, Felix and Yuan, Feng",
    title = "{Machine learning-based jet and event classification at the Electron-Ion Collider with applications to hadron structure and spin physics}",
    eprint = "2210.06450",
      journal="JHEP",
      volume="03",
      pages="085",
      doi="10.1007/JHEP03(2023)085",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "JLAB-THY-22-3739, MIT-CTP 5473, YITP-SB-2022-34",
    month = "10",
    year = "2022"
}

%Oct. 9, 2022
@article{Khot:2022aky,
    author = "Khot, Ayush and Neubauer, Mark S. and Roy, Avik",
    title = "{A Detailed Study of Interpretability of Deep Neural Network based Top Taggers}",
    eprint = "2210.04371",
      journal="Mach.Learn.Sci.Tech.",
      volume="4",
      pages="035003",
      doi="10.1088/2632-2153/ace0a1",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "10",
    year = "2022"
}

%Oct. 5, 2022
@article{Lu:2022joy,
    author = "Lu, Yu and Wang, Yi-Jia and Chen, Ying and Wu, Jia-Jun",
    title = "{Rediscovery of Numerical Luscher's Formula from the Neural Network}",
    eprint = "2210.02184",
    doi="10.1088/1674-1137/ad3b9c",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "10",
    year = "2022"
}
@article{Kamenik:2022qxs,
    author = "Kamenik, Jernej F. and Szewc, Manuel",
    title = "{Null Hypothesis Test for Anomaly Detection}",
    eprint = "2210.02226",
      journal="Phys.Lett.B",
      volume="840",
      pages="137836",
      doi="10.1016/j.physletb.2023.137836",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2022"
}

%Oct. 4, 2022
@article{Kong:2022rnd,
    author = "Kong, Kyoungchul and Matchev, Konstantin T. and Mrenna, Stephen and Shyamsundar, Prasanth",
    title = "{New Machine Learning Techniques for Simulation-Based Inference: InferoStatic Nets, Kernel Score Estimation, and Kernel Likelihood Ratio Estimation}",
    eprint = "2210.01680",
    archivePrefix = "arXiv",
    primaryClass = "stat.ML",
    reportNumber = "FERMILAB-PUB-22-741-SCD",
    month = "10",
    year = "2022"
}

%Oct. 3, 2022
@article{Dimitrova:2022uum,
    author = "Dimitrova, Kalina",
    collaboration = "PADME",
    title = "{Using Artificial Intelligence in the Reconstruction of Signals from the PADME Electromagnetic Calorimeter}",
    eprint = "2210.00811",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.3390/instruments6040046",
    journal = "Instruments",
    volume = "6",
    pages = "46",
    year = "2022"
}

%Oct. 2, 2022
@article{Bakina:2022mhs,
    author = "Bakina, O. and others",
    title = "{Deep learning for track recognition in pixel and strip-based particle detectors}",
    eprint = "2210.00599",
      journal="JINST",
      volume="17",
      pages="P12023",
      doi="10.1088/1748-0221/17/12/P12023",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "10",
    year = "2022"
}

%Sep. 30, 2022
@article{Butter:2022vkj,
    author = "Butter, Anja and Heimel, Theo and Martini, Till and Peitzsch, Sascha and Plehn, Tilman",
    title = "{Two Invertible Networks for the Matrix Element Method}",
    eprint = "2210.00019",
      journal="SciPost Phys.",
      volume="15",
      pages="094",
      doi="10.21468/SciPostPhys.15.3.094",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2022"
}

@article{Huerta:2022kgj,
    author = "Huerta, E. A. and others",
    title = "{FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective}",
    eprint = "2210.08973",
      doi="10.1038/s41597-023-02298-6",
    archivePrefix = "arXiv",
    primaryClass = "cs.CY",
    month = "9",
    year = "2022"
}


%Setp. 15, 2022
@article{Shanahan:2022ifi,
    author = "Shanahan, Phiala and others",
    title = "{Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning}",
    eprint = "2209.07559",
    archivePrefix = "arXiv",
    primaryClass = "physics.comp-ph",
    reportNumber = "FERMILAB-CONF-22-719-ND-PPD-QIS-SCD",
    month = "9",
    year = "2022"
}

%Sep. 13, 2022
@article{Kasieczka:2022naq,
    author = "Kasieczka, Gregor and Mastandrea, Radha and Mikuni, Vinicius and Nachman, Benjamin and Pettee, Mariel and Shih, David",
    title = "{Anomaly Detection under Coordinate Transformations}",
    eprint = "2209.06225",
      journal="Phys.Rev.D",
      volume="107",
      pages="015009",
      doi="10.1103/PhysRevD.107.015009",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2022"
}

%Sep. 12, 2022
@article{Chiang:2022lsn,
    author = "Chiang, Cheng-Wei and Shih, David and Wei, Shang-Fu",
    title = "{VBF vs. GGF Higgs with Full-Event Deep Learning: Towards a Decay-Agnostic Tagger}",
    eprint = "2209.05518",
      journal="Phys.Rev.D",
      volume="107",
      pages="016014",
      doi="10.1103/PhysRevD.107.016014",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2022"
}
@article{Hall:2022bme,
    author = "Hall, Noah Clarke and Criddle, Isaac and Crossland, Archie and Englert, Christoph and Forbes, Patrick and Hankache, Robert and Pilkington, Andrew D.",
    title = "{Machine-enhanced CP-asymmetries in the electroweak sector}",
    eprint = "2209.05143",
      journal="Phys.Rev.D",
      volume="107",
      pages="016008",
      doi="10.1103/PhysRevD.107.016008",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2022"
}

%Sep. 7, 2022
@article{IceCube:2022njh,
    author = "{IceCube Collaboration}",
    title = "{Graph Neural Networks for low-energy event classification \& reconstruction in IceCube}",
    eprint = "2209.03042",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.1088/1748-0221/17/11/P11003",
    journal = "JINST",
    volume = "17",
    number = "11",
    pages = "P11003",
    year = "2022"
}

%Sep. 2, 2022
@article{Jinno:2022sbr,
    author = {Jinno, Ryusuke and K\"alin, Gregor and Liu, Zhengwen and Rubira, Henrique},
    title = "{Machine Learning Post-Minkowskian Integrals}",
    eprint = "2209.01091",
      journal="JHEP",
      volume="07",
      pages="181",
      doi="10.1007/JHEP07(2023)181",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    reportNumber = "IFT-UAM/CSIC-22-97, DESY-22-144, TUM-HEP 1392/22",
    month = "9",
    year = "2022"
}

%Aug. 29, 2022
@article{Abel:2022nje,
    author = "Abel, Steven and Constantin, Andrei and Harvey, Thomas R. and Lukas, Andre",
    title = "{Cosmic Inflation and Genetic Algorithms}",
    eprint = "2208.13804",
      journal="Fortsch.Phys.",
      volume="71",
      pages="2200161",
      doi="10.1002/prop.202200161",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    reportNumber = "IPPP/22/64",
    month = "8",
    year = "2022"
}
@article{Zhang:2022djp,
    author = "Zhang, Gemma and Mishra-Sharma, Siddharth and Dvorkin, Cora",
    title = "{Inferring subhalo effective density slopes from strong lensing observations with neural likelihood-ratio estimation}",
    eprint = "2208.13796",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.CO",
    reportNumber = "MIT-CTP/5459",
    doi = "10.1093/mnras/stac3014",
    month = "8",
    year = "2022"
}
@article{Liao:2022ufk,
    author = "Liao, Libo and Wang, Shudong and Song, Weimin and Zhang, Zhaoling and Li, Gang",
    title = "{Performance studies of jet flavor tagging and measurement of $R_b$ using ParticleNet at CEPC}",
    eprint = "2208.13503",
    journal="Int.J.Mod.Phys.A",
    volume="38",
    pages="2350168",
    doi="10.1142/S0217751X23501683",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "8",
    year = "2022"
}

%Aug. 26, 2022
@article{Nguyen:2022ldb,
    author = "Nguyen, Tri and Mishra-Sharma, Siddharth and Williams, Reuel and Necib, Lina",
    title = "{Uncovering dark matter density profiles in dwarf galaxies with graph neural networks}",
    eprint = "2208.12825",
      journal="Phys.Rev.D",
      volume="107",
      pages="043015",
      doi="10.1103/PhysRevD.107.043015",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.CO",
    reportNumber = "MIT/CTP-5459",
    month = "8",
    year = "2022"
}

%Aug. 25, 2022
@inproceedings{Akram:2022zmj,
    author = "Akram, Adeel and Ju, Xiangyang",
    title = "{Track Reconstruction using Geometric Deep Learning in the Straw Tube Tracker (STT) at the PANDA Experiment}",
    eprint = "2208.12178",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "8",
    year = "2022"
}

%Aug. 22, 2022
@article{Faucett:2022zie,
    author = "Faucett, Taylor and Hsu, Shih-Chieh and Whiteson, Daniel",
    title = "{Learning to Identify Semi-Visible Jets}",
    eprint = "2208.10062",
      journal="JHEP",
      volume="12",
      pages="132",
      doi="10.1007/JHEP12(2022)132",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2022"
}

%Aug. 19, 2022
@article{Bahtiyar:2022une,
    author = "Bahtiyar, Huseyin",
    title = "{Predicting Exotic Hadron Masses with Data Augmentation Using Multilayer Perceptron}",
    eprint = "2208.09538",
      journal="Int.J.Mod.Phys.A",
      volume="38",
      pages="2350003",
      doi="10.1142/S0217751X23500033",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2022"
}

%Aug 11, 2022
@article{Bachlechner:2022cvf,
    author = "Bachlechner, M. and Birkenfeld, T. and Soldin, P. and Stahl, A. and Wiebusch, C.",
    title = "{Partition Pooling for Convolutional Graph Network Applications in Particle Physics}",
    eprint = "2208.05952",
      journal="JINST",
      volume="17",
      pages="P10004",
      doi="10.1088/1748-0221/17/10/P10004",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "8",
    year = "2022"
}

%Aug 10, 2022
@article{Park:2022zov,
    author = "Park, Sang Eon and Harris, Philip and Ostdiek, Bryan",
    title = "{Neural Embedding: Learning the Embedding of the Manifold of Physics Data}",
    eprint = "2208.05484",
      journal="JHEP",
      volume="07",
      pages="108",
      doi="10.1007/JHEP07(2023)108",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2022"
}

%Aug 5, 2022
@article{Zhang:2022uqk,
    author = "Zhang, Zhenyu and Ma, Rui and Hu, Jifeng and Wang, Qian",
    title = "{Discover the GellMann-Okubo formula with machine learning}",
    eprint = "2208.03165",
      journal="Chin.Phys.Lett.",
      volume="39",
      pages="111201",
      doi="10.1088/0256-307X/39/11/111201",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2022"
}
@inproceedings{Chen:2022pzc,
    author = "Chen, Thomas Y. and Dey, Biprateep and Ghosh, Aishik and Kagan, Michael and Nord, Brian and Ramachandra, Nesar",
    title = "{Interpretable Uncertainty Quantification in AI for HEP}",
    booktitle = "{2022 Snowmass Summer Study}",
    eprint = "2208.03284",
      doi="10.2172/1886020",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "FERMILAB-FN-1179-SCD",
    month = "8",
    year = "2022"
}

%Aug 4, 2022
@article{Manole:2022bmi,
    author = "Manole, Tudor and Bryant, Patrick and Alison, John and Kuusela, Mikael and Wasserman, Larry",
    title = "{Background Modeling for Double Higgs Boson Production: Density Ratios and Optimal Transport}",
    eprint = "2208.02807",
    archivePrefix = "arXiv",
    primaryClass = "stat.AP",
    month = "8",
    year = "2022"
}

%Aug 3, 2022
@article{Ge:2022xrv,
    author = "Ge, Panting and Huang, Xiaotao and Saur, Miroslav and Sun, Liang",
    title = "{A new method for the $q^2$ reconstruction in semileptonic decays at LHCb based on machine learning}",
    eprint = "2208.02145",
      journal="Adv.High Energy Phys.",
      volume="2023",
      pages="8127604",
      doi="10.1155/2023/8127604",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2022"
}
@article{Nachman:2022jbj,
    author = "Nachman, Benjamin and Prestel, Stefan",
    title = "{Morphing parton showers with event derivatives}",
    eprint = "2208.02274",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2022"
}

%July 25, 2022
@article{Bright-Thonney:2022xkx,
    author = "Bright-Thonney, Samuel and Moult, Ian and Nachman, Benjamin and Prestel, Stefan",
    title = "{Systematic Quark/Gluon Identification with Ratios of Likelihoods}",
    eprint = "2207.12411",
      journal="JHEP",
      volume="12",
      pages="021",
      doi="10.1007/JHEP12(2022)021",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2022"
}

%July 24, 2022
@article{Bae:2022dnw,
    author = "Bae, Dongsung and others",
    title = "{Large-Scale Deep Learning for Multi-Jet Event Classification}",
    eprint = "2207.11710",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "7",
    year = "2022"
}

%July 22, 2022
@article{Darulis:2022brn,
    author = "Darulis, D. and Tyson, R. and Ireland, D. G. and Glazier, D. I. and McKinnon, B. and Pauli, P.",
    title = "{Machine Learned Particle Detector Simulations}",
    eprint = "2207.11254",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "7",
    year = "2022"
}

%July 20, 2022
@article{Hammad:2022wpq,
    author = "Hammad, A. and Park, Myeonghun and Ramos, Raymundo and Saha, Pankaj",
    title = "{Exploration of Parameter Spaces Assisted by Machine Learning}",
    eprint = "2207.09959",
      journal="Comput.Phys.Commun.",
      volume="293",
      pages="108902",
      doi="10.1016/j.cpc.2023.108902",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2022"
}

%July 19, 2022
@inproceedings{Benelli:2022sqn,
    author = "Benelli, Gabriele and others",
    title = "{Data Science and Machine Learning in Education}",
    booktitle = "{2022 Snowmass Summer Study}",
    eprint = "2207.09060",
    archivePrefix = "arXiv",
    primaryClass = "physics.ed-ph",
    reportNumber = "FERMILAB-FN-1177-SCD",
    month = "7",
    year = "2022"
}
@article{Camaiani:2022kul,
    author = "Camaiani, Benedetta and Seidita, Roberto and Anderlini, Lucio and Ceccarelli, Rudy and Ciulli, Vitaliano and Lenzi, Piergiulio and Lizzo, Mattia and Viliani, Lorenzo",
    title = "{Model independent measurements of Standard Model cross sections with Domain Adaptation}",
    eprint = "2207.09293",
      journal="Eur.Phys.J.C",
      volume="82",
      pages="921",
      doi="10.1140/epjc/s10052-022-10871-3",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "7",
    year = "2022"
}

%July 17, 2022
@article{Munoz:2022gjq,
    author = "Munoz, Jose M. and Batatia, Ilyes and Ortner, Christoph",
    title = "{BIP: Boost Invariant Polynomials for Efficient Jet Tagging}",
    eprint = "2207.08272",
      journal="Mach.Learn.Sci.Tech.",
      volume="3",
      pages="04LT05",
      doi="10.1088/2632-2153/aca9ca",
    archivePrefix = "arXiv",
    primaryClass = "physics.comp-ph",
    month = "7",
    year = "2022"
}

%July 15, 2022
@article{Caron:2022wrw,
    author = "Caron, Sascha and de Austri, Roberto Ruiz and Zhang, Zhongyi",
    title = "{Mixture-of-theories Training: Can We Find New Physics and Anomalies Better by Mixing Physical Theories?}",
    eprint = "2207.07631",
      journal="JHEP",
      volume="03",
      pages="004",
      doi="10.1007/JHEP03(2023)004",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2022"
}

%July 13, 2022
@inproceedings{Rogachev:2022hjg,
    author = "Rogachev, Alexander and Ratnikov, Fedor",
    title = "{GAN with an Auxiliary Regressor for the Fast Simulation of the Electromagnetic Calorimeter Response}",
    booktitle = "{20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research}: {AI Decoded - Towards Sustainable, Diverse, Performant and Effective Scientific Computing}",
    eprint = "2207.06329",
      journal="J.Phys.Conf.Ser.",
      volume="2438",
      pages="012086",
      doi="10.1088/1742-6596/2438/1/012086",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "7",
    year = "2022"
}
@article{Sun:2022djj,
    author = "Sun, Yitian and Slatyer, Tracy R.",
    title = "{Modeling early-universe energy injection with Dense Neural Networks}",
    eprint = "2207.06425",
      journal="Phys.Rev.D",
      volume="107",
      pages="063541",
      doi="10.1103/PhysRevD.107.063541",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MIT-CTP/5449",
    month = "7",
    year = "2022"
}

%July 12, 2022
@article{Carlson:2022vac,
    author = "Carlson, Benjamin and Bayer, Quincy and Hong, Tae Min and Roche, Stephen",
    title = "{Nanosecond machine learning regression with deep boosted decision trees in FPGA for high energy physics}",
    eprint = "2207.05602",
      journal="JINST",
      volume="17",
      pages="P09039",
      doi="10.1088/1748-0221/17/09/P09039",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "PITT-PACC-2212",
    month = "7",
    year = "2022"
}

%July 9, 2022
@article{Ratnikov:2022hge,
    author = "Ratnikov, Fedor and Maevskiy, Artem and Zinchenko, Alexander and Riabov, Victor and Sukhorosov, Alexey and Evdokimov, Dmitrii",
    title = "{Generative Surrogates for Fast Simulation: TPC Case}",
    eprint = "2207.04340",
      journal="Nucl.Instrum.Meth.A",
      volume="1047",
      pages="167743",
      doi="10.1016/j.nima.2022.167743",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "7",
    year = "2022"
}

%July 8, 2022
@article{Glauch:2022xth,
    author = "Glauch, Theo and Kerscher, Tobias and Giommi, Paolo",
    title = "{BlaST -- A Machine-Learning Estimator for the Synchrotron Peak of Blazars}",
    eprint = "2207.03813",
      journal="Astron.Comput.",
      volume="41",
      pages="100646",
      doi="10.1016/j.ascom.2022.100646",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.HE",
    month = "7",
    year = "2022"
}
@article{Alasfar:2022vqw,
    author = {Alasfar, Lina and Gr\"ober, Ramona and Grojean, Christophe and Paul, Ayan and Qian, Zhuoni},
    title = "{Machine learning the trilinear and light-quark Yukawa couplings from Higgs pair kinematic shapes}",
    eprint = "2207.04157",
      journal="JHEP",
      volume="11",
      pages="045",
      doi="10.1007/JHEP11(2022)045",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "DESY 22-085, HU-EP-21/34-RTG",
    month = "7",
    year = "2022"
}

%July 7, 2022
@article{Chappell:2022yxd,
    author = "Chappell, Andrew and Whitehead, Leigh H.",
    title = "{Application of Transfer Learning to Neutrino Interaction Classification}",
    eprint = "2207.03139",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.1140/epjc/s10052-022-11066-6",
    journal = "Eur. Phys. J. C",
    volume = "82",
    number = "12",
    pages = "1099",
    year = "2022"
}

%July 1, 2022
@article{Khoda:2022dwz,
    author = "Khoda, Elham E. and others",
    title = "{Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml}",
    eprint = "2207.00559",
      journal="Mach.Learn.Sci.Tech.",
      volume="4",
      pages="025004",
      doi="10.1088/2632-2153/acc0d7",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "7",
    year = "2022"
}
@article{Leigh:2022lpn,
    author = "Leigh, Matthew and Raine, John Andrew and Golling, Tobias",
    title = "{$\nu$-Flows: conditional neutrino regression}",
    eprint = "2207.00664",
      journal="SciPost Phys.",
      volume="14",
      pages="159",
      doi="10.21468/SciPostPhys.14.6.159",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2022"
}


%June 28, 2022
@article{Badger:2022hwf,
    author = "Badger, Simon and Butter, Anja and Luchmann, Michel and Pitz, Sebastian and Plehn, Tilman",
    title = "{Loop Amplitudes from Precision Networks}",
    eprint = "2206.14831",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.21468/SciPostPhysCore.6.2.034",
    journal = "SciPost Phys. Core",
    volume = "6",
    pages = "034",
    year = "2023"
}

@article{Dillon:2022mkq,
    author = {Dillon, Barry M. and Favaro, Luigi and Plehn, Tilman and Sorrenson, Peter and Kr\"amer, Michael},
    title = "{A Normalized Autoencoder for LHC Triggers}",
    eprint = "2206.14225",
    journal="SciPost Phys.Core",
    volume="6",
    pages="074",
    doi="10.21468/SciPostPhysCore.6.4.074",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2022"
}

%June 21, 2022
@article{LeBlanc:2022bwd,
    author = "LeBlanc, Matt and Nachman, Benjamin and Sauer, Christof",
    title = "{Going off topics to demix quark and gluon jets in \ensuremath{\alpha}$_{S}$ extractions}",
    eprint = "2206.10642",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1007/JHEP02(2023)150",
    journal = "JHEP",
    volume = "02",
    pages = "150",
    year = "2023"
}

%June 20, 2022
@article{Coadou:2022nsh,
    author = "Coadou, Yann",
    title = "{Boosted decision trees}",
    eprint = "2206.09645",
    journal="Artificial Intelligence for High Energy Physics",
    pages="9",
    doi="10.1142/9789811234033_0002",
    journal="Artificial Intelligence for High Energy Physics",
    pages="9",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "6",
    year = "2022"
}

%June 18, 2022
@article{deSouza:2022uhk,
    author = "de Souza, Fernando Abreu and Crispim Rom\~ao, Miguel and Castro, Nuno Filipe and Nikjoo, Mehraveh and Porod, Werner",
    title = "{Exploring Parameter Spaces with Artificial Intelligence and Machine Learning Black-Box Optimisation Algorithms}",
    eprint = "2206.09223",
      journal="Phys.Rev.D",
      volume="107",
      pages="035004",
      doi="10.1103/PhysRevD.107.035004",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2022"
}

%June 17, 2022
@article{Mikuni:2022xry,
    author = "Mikuni, Vinicius and Nachman, Benjamin",
    title = "{Score-based Generative Models for Calorimeter Shower Simulation}",
    eprint = "2206.11898",
      journal="Phys.Rev.D",
      volume="106",
      pages="092009",
      doi="10.1103/PhysRevD.106.092009",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2022"
}

%June 17, 2022
@article{Mallick:2022alr,
    author = {Mallick, Neelkamal and Prasad, Suraj and Mishra, Aditya Nath and Sahoo, Raghunath and Barnaf\"oldi, Gergely G\'abor},
    title = "{Estimating elliptic flow coefficient in heavy ion collisions using deep learning}",
    eprint = "2203.01246",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1103/PhysRevD.105.114022",
    journal = "Phys. Rev. D",
    volume = "105",
    number = "11",
    pages = "114022",
    year = "2022"
}

% 2022-06-16
@article{Alvi:2022fkk,
    author = "Alvi, Sulaiman and Bauer, Christian and Nachman, Benjamin",
    title = "{Quantum Anomaly Detection for Collider Physics}",
    eprint = "2206.08391",
      journal="JHEP",
      volume="02",
      pages="220",
      doi="10.1007/JHEP02(2023)220",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2022"
}
@article{Alnuqaydan:2022ncd,
    author = "Alnuqaydan, Abdulhakim and Gleyzer, Sergei and Prosper, Harrison",
    title = "{SYMBA: Symbolic Computation of Squared Amplitudes in High Energy Physics with Machine ALearning}",
    eprint = "2206.08901",
      journal="Mach.Learn.Sci.Tech.",
      volume="4",
      pages="015007",
      doi="10.1088/2632-2153/acb2b2",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2022"
}

%June 10, 2022
@article{De:2022sde,
    author = "De, Songshaptak and Maitra, Writasree and Rentala, Vikram and Thalapillil, Arun M.",
    title = "{Deep learning techniques for Imaging Air Cherenkov Telescopes}",
    eprint = "2206.05296",
      journal="Phys.Rev.D",
      volume="107",
      pages="083026",
      doi="10.1103/PhysRevD.107.083026",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.IM",
    month = "6",
    year = "2022"
}

%June 8, 2022
@article{Dersy:2022bym,
    author = "Dersy, Aur\'elien and Schwartz, Matthew D. and Zhang, Xiaoyuan",
    title = "{Simplifying Polylogarithms with Machine Learning}",
    eprint = "2206.04115",
    journal="Int.J.Data Sci.Math.Sci.",
    volume="1",
    pages="135",
    doi="10.1142/S2810939223500028",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "6",
    year = "2022"
}

%June 3, 2022
@article{Liu:2022hzd,
    author = "Liu, Lihan and Verweij, Marta and Velkovska, Julia",
    title = "{Identifying quenched jets in heavy ion collisions with machine learning}",
    eprint = "2206.01628",
      journal="JHEP",
      volume="04",
      pages="140",
      doi="10.1007/JHEP04(2023)140",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2022"
}

%May 25, 2022
@article{Chadeeva:2022kay,
    author = "Chadeeva, M. and Korpachev, S.",
    title = "{Machine-learning-based prediction of parameters of secondaries in hadronic showers using calorimetric observables}",
    eprint = "2205.12534",
      journal="JINST",
      volume="17",
      pages="P10031",
      doi="10.1088/1748-0221/17/10/P10031",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "5",
    year = "2022"
}

%May 20, 2022
@article{Dillon:2022tmm,
    author = "Dillon, Barry M. and Mastandrea, Radha and Nachman, Benjamin",
    title = "{Self-supervised Anomaly Detection for New Physics}",
    eprint = "2205.10380",
      journal="Phys.Rev.D",
      volume="106",
      pages="056005",
      doi="10.1103/PhysRevD.106.056005",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2022"
}

%May 18, 2022
@article{Montel:2022fhv,
    author = "Montel, Noemi Anau and Coogan, Adam and Correa, Camila and Karchev, Konstantin and Weniger, Christoph",
    title = "{Estimating the warm dark matter mass from strong lensing images with truncated marginal neural ratio estimation}",
    eprint = "2205.09126",
      journal="Mon.Not.Roy.Astron.Soc.",
      volume="518",
      pages="2746",
      doi="10.1093/mnras/stac3215",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.CO",
    month = "5",
    year = "2022"
}
@article{Fanelli:2022kro,
    author = "Fanelli, C. and others",
    title = "{AI-assisted Optimization of the ECCE Tracking System at the Electron Ion Collider}",
    eprint = "2205.09185",
      journal="Nucl.Instrum.Meth.A",
      volume="1047",
      pages="167748",
      doi="10.1016/j.nima.2022.167748",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "5",
    year = "2022"
}

%May 12, 2022
@article{Arganda:2022qzy,
    author = "Arganda, Ernesto and Marcano, Xabier and Lozano, V\'\i{}ctor Mart\'\i{}n and Medina, Anibal D. and Perez, Andres D. and Szewc, Manuel and Szynkman, Alejandro",
    title = "{A method for approximating optimal statistical significances with machine-learned likelihoods}",
    eprint = "2205.05952",
      journal="Eur.Phys.J.C",
      volume="82",
      pages="993",
      doi="10.1140/epjc/s10052-022-10944-3",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IFT-UAM/CSIC-22-52",
    month = "5",
    year = "2022"
}

%May 10, 2022
@article{Gambhir:2022dut,
    author = "Gambhir, Rikab and Nachman, Benjamin and Thaler, Jesse",
    title = "{Bias and Priors in Machine Learning Calibrations for High Energy Physics}",
    eprint = "2205.05084",
      journal="Phys.Rev.D",
      volume="106",
      pages="036011",
      doi="10.1103/PhysRevD.106.036011",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MIT-CTP 5432",
    month = "5",
    year = "2022"
}

%May 9, 2022
@article{Li:2022tvg,
    author = "Li, Zi-Yuan and Qian, Zhen and He, Jie-Han and He, Wei and Wu, Cheng-Xin and Cai, Xun-Ye and You, Zheng-Yun and Zhang, Yu-Mei and Luo, Wu-Ming",
    title = "{Improving the machine learning based vertex reconstruction for large liquid scintillator detectors with multiple types of PMTs}",
    eprint = "2205.04039",
      journal="Nucl.Sci.Tech.",
      volume="33",
      pages="93",
      doi="10.1007/s41365-022-01078-y",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "5",
    year = "2022"
}
@article{Komiske:2022vxg,
    author = "Komiske, Patrick T. and Kryhin, Serhii and Thaler, Jesse",
    title = "{Disentangling Quarks and Gluons with CMS Open Data}",
    eprint = "2205.04459",
      journal="Phys.Rev.D",
      volume="106",
      pages="094021",
      doi="10.1103/PhysRevD.106.094021",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MIT-CTP 5422",
    month = "5",
    year = "2022"
}
%May 7, 2022
@article{Chen:2022shj,
    author = "Chen, Hao and Niu, Wen-Qi and Zheng, Han-Qing",
    title = "{Identify Hadronic Molecule States by Neural Network}",
    eprint = "2205.03572",
      journal="Eur.Phys.J.C",
      volume="83",
      pages="52",
      doi="10.1140/epjc/s10052-023-11170-1",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2022"
}
%May 6, 2022
@article{Gambhir:2022gua,
    author = "Gambhir, Rikab and Nachman, Benjamin and Thaler, Jesse",
    title = "{Learning Uncertainties the Frequentist Way: Calibration and Correlation in High Energy Physics}",
    eprint = "2205.03413",
      journal="Phys.Rev.Lett.",
      volume="129",
      pages="082001",
      doi="10.1103/PhysRevLett.129.082001",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MIT-CTP 5431",
    month = "5",
    year = "2022"
}

% 2022-05-03
@article{Verheyen:2022tov,
    author = "Verheyen, Rob",
    title = "{Event Generation and Density Estimation with Surjective Normalizing Flows}",
    eprint = "2205.01697",
      journal="SciPost Phys.",
      volume="13",
      pages="047",
      doi="10.21468/SciPostPhys.13.3.047",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2022"
}

% 2022-03-31
@article{DUNE:2022fiy,
    author = "{DUNE Collaboration}",
    title = "{Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network}",
    eprint = "2203.17053",
      journal="Eur.Phys.J.C",
      volume="82",
      pages="903",
      doi="10.1140/epjc/s10052-022-10791-2",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "FERMILAB-PUB-22-240-AD-ESH-LBNF-ND-SCD, CERN-EP-2022-077",
    month = "3",
    year = "2022"
}

%April 29, 2022
@article{Goodsell:2022beo,
    author = "Goodsell, Mark D. and Joury, Ari",
    title = "{Active learning BSM parameter spaces}",
    eprint = "2204.13950",
      journal="Eur.Phys.J.C",
      volume="83",
      pages="268",
      doi="10.1140/epjc/s10052-023-11368-3",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2022"
}

%April 26, 2022
@article{Freitas:2022cno,
    author = "Freitas, Felipe F. and Gon\c{c}alves, Jo\~ao and Morais, Ant\'onio P. and Pasechnik, Roman",
    title = "{Phenomenology at the Large Hadron Collider with Deep Learning: the case of vector-like quarks decaying to light jets}",
    eprint = "2204.12542",
      journal="Eur.Phys.J.C",
      volume="82",
      pages="826",
      doi="10.1140/epjc/s10052-022-10799-8",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2022"
}

%April 25, 2022
@article{Finke:2022lsu,
    author = {Finke, Thorben and Kr\"amer, Michael and Lipp, Maximilian and M\"uck, Alexander},
    title = "{Boosting mono-jet searches with model-agnostic machine learning}",
    eprint = "2204.11889",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "P3H-22-043, TTK-22-16",
    doi = "10.1007/JHEP08(2022)015",
    journal = "JHEP",
    volume = "08",
    pages = "015",
    year = "2022"
}

%April 21, 2022
@inproceedings{Valsecchi:2022rla,
    author = "Valsecchi, Davide",
    collaboration = "CMS",
    title = "{Deep learning techniques for energy clustering in the CMS ECAL}",
    booktitle = "{20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research}: {AI Decoded - Towards Sustainable, Diverse, Performant and Effective Scientific Computing}",
    eprint = "2204.10277",
      journal="J.Phys.Conf.Ser.",
      volume="2438",
      pages="012077",
      doi="10.1088/1742-6596/2438/1/012077",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CMS-CR-2022-031",
    month = "4",
    year = "2022"
}
@article{Anderlini:2022ckd,
    author = "Anderlini, Lucio and Barbetti, Matteo and Derkach, Denis and Kazeev, Nikita and Maevskiy, Artem and Mokhnenko, Sergei",
    collaboration = "LHCb",
    title = "{Towards Reliable Neural Generative Modeling of Detectors}",
    eprint = "2204.09947",
      journal="J.Phys.Conf.Ser.",
      volume="2438",
      pages="012130",
      doi="10.1088/1742-6596/2438/1/012130",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "4",
    year = "2022"
}
@article{Yang:2022fhw,
    author = "Yang, Ji-Chong and Han, Xue-Ying and Qin, Zhi-Bin and Li, Tong and Guo, Yu-Chen",
    title = "{Measuring the anomalous quartic gauge couplings in the $W^+W^-\to W^+W^-$ process at muon collider using artificial neural networks}",
    eprint = "2204.10034",
      journal="JHEP",
      volume="09",
      pages="074",
      doi="10.1007/JHEP09(2022)074",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2022"
}

%April 18, 2022
@inproceedings{Fanelli:2022ifa,
    author = "Fanelli, C. and Mahmood, A.",
    title = "{Artificial Intelligence for Imaging Cherenkov Detectors at the EIC}",
    booktitle = "{Experimental Applications of Artificial Intelligence for the Electron Ion Collider}",
    eprint = "2204.08645",
      journal="JINST",
      volume="17",
      pages="C07011",
      doi="10.1088/1748-0221/17/07/C07011",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "4",
    year = "2022"
}
@article{Fanelli:2022xwl,
    author = "Fanelli, C. and Giroux, J. and Papandreou, Z.",
    title = "{''Flux+Mutability'': A Conditional Generative Approach to One-Class Classification and Anomaly Detection}",
    eprint = "2204.08609",
      journal="Mach.Learn.Sci.Tech.",
      volume="3",
      pages="045012",
      doi="10.1088/2632-2153/ac9bcb",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "4",
    year = "2022"
}

%April 14, 2022
@inproceedings{Graczykowski:2022zae,
    author = "Graczykowski, \L{}ukasz Kamil and Jakubowska, Monika and Deja, Kamil Rafa\l{} and Kabus, Maja",
    collaboration = "ALICE",
    title = "{Using Machine Learning for Particle Identification in ALICE}",
    eprint = "2204.06900",
      journal="JINST",
      volume="17",
      pages="C07016",
      doi="10.1088/1748-0221/17/07/C07016",
    archivePrefix = "arXiv",
    primaryClass = "nucl-ex",
    month = "4",
    year = "2022"
}

%April 8, 2022
@article{Cheung:2022dil,
    author = "Cheung, Kingman and Chung, Yi-Lun and Hsu, Shih-Chieh and Nachman, Benjamin",
    title = "{Exploring the Universality of Hadronic Jet Classification}",
    eprint = "2204.03812",
      journal="Eur.Phys.J.C",
      volume="82",
      pages="1162",
      doi="10.1140/epjc/s10052-022-11084-4",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2022"
}

%April 5, 2022
@article{Letizia:2022xbe,
    author = "Letizia, Marco and Losapio, Gianvito and Rando, Marco and Grosso, Gaia and Wulzer, Andrea and Pierini, Maurizio and Zanetti, Marco and Rosasco, Lorenzo",
    title = "{Learning new physics efficiently with nonparametric methods}",
    eprint = "2204.02317",
      journal="Eur.Phys.J.C",
      volume="82",
      pages="879",
      doi="10.1140/epjc/s10052-022-10830-y",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2022"
}
@inproceedings{Lutkus:2022eou,
    author = "Lutkus, Paul and Wongjirad, Taritree and Aeron, Shuchin",
    title = "{Towards Designing and Exploiting Generative Networks for Neutrino Physics Experiments using Liquid Argon Time Projection Chambers}",
    booktitle = "{9th International Conference on Learning Representations}",
    eprint = "2204.02496",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "4",
    year = "2022"
}

%April 4, 2022
@article{Qasim:2022rww,
    author = "Qasim, Shah Rukh and Chernyavskaya, Nadezda and Kieseler, Jan and Long, Kenneth and Viazlo, Oleksandr and Pierini, Maurizio and Nawaz, Raheel",
    title = "{End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks}",
    eprint = "2204.01681",
      journal="Eur.Phys.J.C",
      volume="82",
      pages="753",
      doi="10.1140/epjc/s10052-022-10665-7",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "4",
    year = "2022"
}


%March 30, 2022
@article{Arratia:2022wny,
    author = "Arratia, Miguel and Britzger, Daniel and Long, Owen and Nachman, Benjamin",
    title = "{Optimizing Observables with Machine Learning for Better Unfolding}",
    eprint = "2203.16722",
      journal="JINST",
      volume="17",
      pages="P07009",
      doi="10.1088/1748-0221/17/07/P07009",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "MPP-2022-35",
    month = "3",
    year = "2022"
}
@inproceedings{Harris:2022qtm,
    author = "Harris, Philip and others",
    title = "{Physics Community Needs, Tools, and Resources for Machine Learning}",
    booktitle = "{2022 Snowmass Summer Study}",
    eprint = "2203.16255",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    reportNumber = "FERMILAB-FN-1166-PPD-SCD",
    month = "3",
    year = "2022"
}
@article{Ai:2022qvs,
    author = "Ai, Xiaocong and Hsu, Shih-Chieh and Li, Ke and Lu, Chih-Ting",
    title = "{Probing highly collimated photon-jets with deep learning}",
    eprint = "2203.16703",
      journal="J.Phys.Conf.Ser.",
      volume="2438",
      pages="012114",
      doi="10.1088/1742-6596/2438/1/012114",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "DESY-22-034",
    month = "3",
    year = "2022"
}

%March 29, 2022
@article{Saha:2022skj,
    author = "Saha, Abhisek and Dan, Debasis and Sanyal, Soma",
    title = "{Machine Learning model driven prediction of the initial geometry in Heavy-Ion Collision experiments}",
    eprint = "2203.15433",
      journal="Phys.Rev.C",
      volume="106",
      pages="014901",
      doi="10.1103/PhysRevC.106.014901",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2022"
}
@article{Li:2022omf,
    author = "Li, Tianchun and Liu, Shikun and Feng, Yongbin and Paspalaki, Garyfallia and Tran, Nhan and Liu, Miaoyuan and Li, Pan",
    title = "{Semi-supervised Graph Neural Networks for Pileup Noise Removal}",
    eprint = "2203.15823",
      journal="Eur.Phys.J.C",
      volume="83",
      pages="99",
      doi="10.1140/epjc/s10052-022-11083-5",
    archivePrefix = "arXiv",
    primaryClass = "physics.acc-ph",
    reportNumber = "FERMILAB-PUB-22-235-PPD-SCD",
    month = "3",
    year = "2022"
}

%March 28, 2022
@article{Lv:2022pme,
    author = "Lv, Huifang and Wang, Daohan and Wu, Lei",
    title = "{Deep Learning Jet Image as a Probe of Light Higgsino Dark Matter at the LHC}",
    eprint = "2203.14569",
      journal="Phys.Rev.D",
      volume="106",
      pages="055008",
      doi="10.1103/PhysRevD.106.055008",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2022"
}

%March 25, 2022
@article{Stein:2022nvf,
    author = "Stein, Annika and Coubez, Xavier and Mondal, Spandan and Novak, Andrzej and Schmidt, Alexander",
    title = "{Improving robustness of jet tagging algorithms with adversarial training}",
    eprint = "2203.13890",
      journal="Comput.Softw.Big Sci.",
      volume="6",
      pages="15",
      doi="10.1007/s41781-022-00087-1",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "3",
    year = "2022"
}

%March 24, 2022
@article{Ahmed:2022hct,
    author = "Ahmed, Ijaz and Zada, Anwar and Waqas, Muhammad and Ashraf, M. U.",
    title = "{Application of deep learning in top pair and single top quark production at the LHC}",
    eprint = "2203.12871",
      journal="Eur.Phys.J.Plus",
      volume="138",
      pages="795",
      doi="10.1140/epjp/s13360-023-04409-z",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2022"
}

%March 23, 2022
@inproceedings{Thais:2022iok,
    author = "Thais, Savannah and Calafiura, Paolo and Chachamis, Grigorios and DeZoort, Gage and Duarte, Javier and Ganguly, Sanmay and Kagan, Michael and Murnane, Daniel and Neubauer, Mark S. and Terao, Kazuhiro",
    title = "{Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges}",
    booktitle = "{2022 Snowmass Summer Study}",
    eprint = "2203.12852",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "3",
    year = "2022"
}
@article{Ghosh:2022zdz,
    author = "Ghosh, Aishik and Ju, Xiangyang and Nachman, Benjamin and Siodmok, Andrzej",
    title = "{Towards a Deep Learning Model for Hadronization}",
    eprint = "2203.12660",
      journal="Phys.Rev.D",
      volume="106",
      pages="096020",
      doi="10.1103/PhysRevD.106.096020",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2022"
}

% March 22, 2022
@article{MODE:2022znx,
    author = "Dorigo, Tommaso and others",
    collaboration = "MODE",
    title = "{Toward the end-to-end optimization of particle physics instruments with differentiable programming}",
    eprint = "2203.13818",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    doi = "10.1016/j.revip.2023.100085",
    journal = "Rev. Phys.",
    volume = "10",
    pages = "100085",
    year = "2023"
}

%March 17, 2022
@article{Raine:2022hht,
    author = "Raine, John Andrew and Klein, Samuel and Sengupta, Debajyoti and Golling, Tobias",
    title = "{CURTAINs for your Sliding Window: Constructing Unobserved Regions by Transforming Adjacent Intervals}",
    eprint = "2203.09470",
      journal="Front.Big Data",
      volume="6",
      pages="899345",
      doi="10.3389/fdata.2023.899345",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2022"
}

%March 16, 2022
@inproceedings{Akchurin:2022apq,
    author = {Akchurin, N. and Damgov, J. and Dugad, S. and C, P. G. and Gr\"onroos, S. and Lamichhane, K. and Martinez, J. and Quast, T. and Undleeb, S. and Whitbeck, A.},
    title = "{Deep learning applications for quality control in particle detector construction}",
    eprint = "2203.08969",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "APDL-2022-003",
    month = "3",
    year = "2022"
}

%March 15, 2022
@inproceedings{Dvorkin:2022pwo,
    author = "Dvorkin, Cora and others",
    title = "{Machine Learning and Cosmology}",
    booktitle = "{2022 Snowmass Summer Study}",
    eprint = "2203.08056",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "FERMILAB-CONF-22-312-SCD",
    month = "3",
    year = "2022"
}
@inproceedings{Adelmann:2022ozp,
    author = "Adelmann, Andreas and others",
    title = "{New directions for surrogate models and differentiable programming for High Energy Physics detector simulation}",
    booktitle = "{2022 Snowmass Summer Study}",
    eprint = "2203.08806",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "FERMILAB-CONF-22-199-SCD",
    month = "3",
    year = "2022"
}

%March 14, 2022
@article{Butter:2022rso,
    author = "Badger, Simon and others",
    editor = "Butter, Anja and Plehn, Tilman and Schumann, Steffen",
    title = "{Machine Learning and LHC Event Generation}",
    eprint = "2203.07460",
      journal="SciPost Phys.",
      volume="14",
      pages="079",
      doi="10.21468/SciPostPhys.14.4.079",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "FERMILAB-PUB-22-126-T",
    month = "3",
    year = "2022"
}
@article{Birman:2022xzu,
    author = "Birman, Mattias and Nachman, Benjamin and Sebbah, Raphael and Sela, Gal and Turetz, Ophir and Bressler, Shikma",
    title = "{Data-directed search for new physics based on symmetries of the SM}",
    eprint = "2203.07529",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1140/epjc/s10052-022-10454-2",
    journal = "Eur. Phys. J. C",
    volume = "82",
    number = "6",
    pages = "508",
    year = "2022"
}
@inproceedings{Wang:2022oer,
    author = "Wang, Chun-Yi and others",
    title = "{Reconstruction of Large Radius Tracks with the Exa.TrkX pipeline}",
    booktitle = "{20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research}: {AI Decoded - Towards Sustainable, Diverse, Performant and Effective Scientific Computing}",
    eprint = "2203.08800",
      journal="J.Phys.Conf.Ser.",
      volume="2438",
      pages="012117",
      doi="10.1088/1742-6596/2438/1/012117",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "FERMILAB-CONF-22-201-PPD-QIS-SCD-V",
    month = "3",
    year = "2022"
}

%March 11, 2022
@inproceedings{Viren:2022qon,
    author = "Viren, Brett and Huang, Jin and Huang, Yi and Lin, Meifeng and Ren, Yihui and Terao, Kazuhiro and Torbunov, Dmitrii and Yu, Haiwang",
    title = "{Solving Simulation Systematics in and with AI/ML}",
    booktitle = "{2022 Snowmass Summer Study}",
    eprint = "2203.06112",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "3",
    year = "2022"
}
@inproceedings{Bogatskiy:2022hub,
    author = "Bogatskiy, Alexander and others",
    title = "{Symmetry Group Equivariant Architectures for Physics}",
    booktitle = "{2022 Snowmass Summer Study}",
    eprint = "2203.06153",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "3",
    year = "2022"
}
@article{Dreyer:2022yom,
    author = "Dreyer, Fr\'ed\'eric A. and Grabarczyk, Rados\l{}aw and Monni, Pier Francesco",
    title = "{Leveraging universality of jet taggers through transfer learning}",
    eprint = "2203.06210",
      journal="Eur.Phys.J.C",
      volume="82",
      pages="564",
      doi="10.1140/epjc/s10052-022-10469-9",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "OUTP-22-01P, CERN-TH-2022-018",
    month = "3",
    year = "2022"
}
@article{Grojean:2022mef,
    author = {Grojean, Christophe and Paul, Ayan and Qian, Zhuoni and Str\"umke, Inga},
    title = "{Lessons on interpretable machine learning from particle physics}",
    eprint = "2203.08021",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "DESY-22-038, HU-EP-21/46, DESY-22-038, HU-EP-21/46",
    doi = "10.1038/s42254-022-00456-0",
    journal = "Nature Rev. Phys.",
    volume = "4",
    number = "5",
    pages = "284--286",
    year = "2022"
}

%March 10, 2022
@article{Qiu:2022xvr,
    author = "Qiu, Shikai and Han, Shuo and Ju, Xiangyang and Nachman, Benjamin and Wang, Haichen",
    title = "{A Holistic Approach to Predicting Top Quark Kinematic Properties with the Covariant Particle Transformer}",
    eprint = "2203.05687",
      journal="Phys.Rev.D",
      volume="107",
      pages="114029",
      doi="10.1103/PhysRevD.107.114029",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2022"
}
@inproceedings{Simpson:2022suz,
    author = "Simpson, Nathan and Heinrich, Lukas",
    title = "{neos: End-to-End-Optimised Summary Statistics for High Energy Physics}",
    booktitle = "{20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research}: {AI Decoded - Towards Sustainable, Diverse, Performant and Effective Scientific Computing}",
    eprint = "2203.05570",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    doi = "10.48550/arXiv.2203.05570",
    month = "3",
    year = "2022"
}

%March 9, 2022
@article{Ilten:2022jfm,
    author = "Ilten, Phil and Menzo, Tony and Youssef, Ahmed and Zupan, Jure",
    title = "{Modeling hadronization using machine learning}",
    eprint = "2203.04983",
      journal="SciPost Phys.",
      volume="14",
      pages="027",
      doi="10.21468/SciPostPhys.14.3.027",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2022"
}

%March 7, 2022
@article{Delgado:2022aty,
    author = "Delgado, Andrea and Hamilton, Kathleen E.",
    title = "{Unsupervised Quantum Circuit Learning in High Energy Physics}",
    eprint = "2203.03578",
      journal="Phys.Rev.D",
      volume="106",
      pages="096006",
      doi="10.1103/PhysRevD.106.096006",
    archivePrefix = "arXiv",
    primaryClass = "quant-ph",
    month = "3",
    year = "2022"
}
@article{Alves:2022gnw,
    author = "Alves, Alexandre and Yamaguchi, C. H.",
    title = "{Reconstruction of Missing Resonances Combining Nearest Neighbors Regressors and Neural Network Classifiers}",
    eprint = "2203.03662",
      journal="Eur.Phys.J.C",
      volume="82",
      pages="746",
      doi="10.1140/epjc/s10052-022-10714-1",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2022"
}

%March 6, 2022
@article{Baldi:2022okj,
    author = "Baldi, Pierre and Sadowski, Peter and Whiteson, Daniel",
    title = "{Deep Learning From Four Vectors}",
    eprint = "2203.03067",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "3",
    year = "2022"
}

%March 5, 2022
@article{Dorigo:2022tfi,
    author = "Dorigo, Tommaso and Guglielmini, Sofia and Kieseler, Jan and Layer, Lukas and Strong, Giles C.",
    title = "{Deep Regression of Muon Energy with a K-Nearest Neighbor Algorithm}",
    eprint = "2203.02841",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "3",
    year = "2022"
}

%March 2, 2022
@article{Bradshaw:2022qev,
    author = "Bradshaw, Layne and Chang, Spencer and Ostdiek, Bryan",
    title = "{Creating Simple, Interpretable Anomaly Detectors for New Physics in Jet Substructure}",
    eprint = "2203.01343",
      journal="Phys.Rev.D",
      volume="106",
      pages="035014",
      doi="10.1103/PhysRevD.106.035014",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2022"
}

%March 1, 2022
@article{Touranakou:2022qrp,
    author = "Touranakou, Mary and Chernyavskaya, Nadezda and Duarte, Javier and Gunopulos, Dimitrios and Kansal, Raghav and Orzari, Breno and Pierini, Maurizio and Tomei, Thiago and Vlimant, Jean-Roch",
    title = "{Particle-based Fast Jet Simulation at the LHC with Variational Autoencoders}",
    eprint = "2203.00520",
      journal="Mach.Learn.Sci.Tech.",
      volume="3",
      pages="035003",
      doi="10.1088/2632-2153/ac7c56",
    archivePrefix = "arXiv",
    primaryClass = "physics.comp-ph",
    month = "3",
    year = "2022"
}
@inproceedings{Pata:2022wam,
    author = "Pata, Joosep and Duarte, Javier and Mokhtar, Farouk and Wulff, Eric and Yoo, Jieun and Vlimant, Jean-Roch and Pierini, Maurizio and Girone, Maria",
    title = "{Machine Learning for Particle Flow Reconstruction at CMS}",
    booktitle = "{20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research}: {AI Decoded - Towards Sustainable, Diverse, Performant and Effective Scientific Computing}",
    eprint = "2203.00330",
      journal="J.Phys.Conf.Ser.",
      volume="2438",
      pages="012100",
      doi="10.1088/1742-6596/2438/1/012100",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "3",
    year = "2022"
}

%Feb. 28, 2022
@inproceedings{Heinrich:2022xfa,
    author = "Heinrich, Lukas and Kagan, Michael",
    title = "{Differentiable Matrix Elements with MadJax}",
    booktitle = "{20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research}: {AI Decoded - Towards Sustainable, Diverse, Performant and Effective Scientific Computing}",
    eprint = "2203.00057",
      journal="J.Phys.Conf.Ser.",
      volume="2438",
      pages="012137",
      doi="10.1088/1742-6596/2438/1/012137",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "2",
    year = "2022"
}
@article{Gianelle:2022unu,
    author = "Gianelle, Alessio and Koppenburg, Patrick and Lucchesi, Donatella and Nicotra, Davide and Rodrigues, Eduardo and Sestini, Lorenzo and de Vries, Jacco and Zuliani, Davide",
    title = "{Quantum Machine Learning for $b$-jet identification}",
    eprint = "2202.13943",
      journal="JHEP",
      volume="08",
      pages="014",
      doi="10.1007/JHEP08(2022)014",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "2",
    year = "2022"
}

%Feb. 23, 2022
@article{Abel:2022lqr,
    author = "Abel, Steve and Criado, Juan C. and Spannowsky, Michael",
    title = "{Completely Quantum Neural Networks}",
    eprint = "2202.11727",
      journal="Phys.Rev.A",
      volume="106",
      pages="022601",
      doi="10.1103/PhysRevA.106.022601",
    archivePrefix = "arXiv",
    primaryClass = "quant-ph",
    month = "2",
    year = "2022"
}

%Feb. 21, 2022
@article{Araz:2022haf,
    author = "Araz, Jack Y. and Spannowsky, Michael",
    title = "{Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data}",
    eprint = "2202.10471",
      journal="Phys.Rev.A",
      volume="106",
      pages="062423",
      doi="10.1103/PhysRevA.106.062423",
    archivePrefix = "arXiv",
    primaryClass = "quant-ph",
    reportNumber = "IPPP/22/06",
    month = "2",
    year = "2022"
}

%Feb. 18, 2022
@article{Butter:2022lkf,
    author = "Butter, Anja and Diefenbacher, Sascha and Kasieczka, Gregor and Nachman, Benjamin and Plehn, Tilman and Shih, David and Winterhalder, Ramon",
    title = "{Ephemeral Learning -- Augmenting Triggers with Online-Trained Normalizing Flows}",
    eprint = "2202.09375",
      journal="SciPost Phys.",
      volume="13",
      pages="087",
      doi="10.21468/SciPostPhys.13.4.087",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "CP3-22-10",
    month = "2",
    year = "2022"
}

%Feb. 15, 2022
@article{Bieringer:2022cbs,
    author = "Bieringer, Sebastian and Butter, Anja and Diefenbacher, Sascha and Eren, Engin and Gaede, Frank and Hundhausen, Daniel and Kasieczka, Gregor and Nachman, Benjamin and Plehn, Tilman and Trabs, Mathias",
    title = "{Calomplification - The Power of Generative Calorimeter Models}",
    eprint = "2202.07352",
      journal="JINST",
      volume="17",
      pages="P09028",
      doi="10.1088/1748-0221/17/09/P09028",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "DESY-22-031",
    month = "2",
    year = "2022"
}

%Feb. 10, 2022
@article{Sun:2022bxx,
    author = "Sun, Chang and Nakajima, Takumi and Mitsumori, Yuki and Horii, Yasuyuki and Tomoto, Makoto",
    title = "{Fast muon tracking with machine learning implemented in FPGA}",
    eprint = "2202.04976",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    doi = "10.1016/j.nima.2022.167546",
    journal = "Nucl. Instrum. Meth. A",
    volume = "1045",
    pages = "167546",
    year = "2023"
}

%Feb. 8, 2022
@article{Qu:2022mxj,
    author = "Qu, Huilin and Li, Congqiao and Qian, Sitian",
    title = "{Particle Transformer for Jet Tagging}",
    eprint = "2202.03772",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "2",
    year = "2022"
}

%Feb. 1, 2022
@article{Anzalone:2022hrt,
    author = "Anzalone, Luca and Diotalevi, Tommaso and Bonacorsi, Daniele",
    title = "{Improving Parametric Neural Networks for High-Energy Physics (and Beyond)}",
    eprint = "2202.00424",
      doi="10.1088/2632-2153/ac917c",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "2",
    year = "2022"
}

@article{Buss:2022lxw,
    author = {Buss, Thorsten and Dillon, Barry M. and Finke, Thorben and Kr\"amer, Michael and Morandini, Alessandro and M\"uck, Alexander and Oleksiyuk, Ivan and Plehn, Tilman},
    title = "{What's Anomalous in LHC Jets?}",
    eprint = "2202.00686",
      journal="SciPost Phys.",
      volume="15",
      pages="168",
      doi="10.21468/SciPostPhys.15.4.168",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "2",
    year = "2022"
}

%Jan. 28, 2022
@article{Boglione:2022gpv,
    author = "Boglione, M. and Diefenthaler, M. and Dolan, S. and Gamberg, L. and Melnitchouk, W. and Pitonyak, D. and Prokudin, A. and Sato, N. and Scalyer, Z.",
    title = "{New tool for kinematic regime estimation in semi-inclusive deep-inelastic scattering}",
    eprint = "2201.12197",
      journal="JHEP",
      volume="04",
      pages="084",
      doi="10.1007/JHEP04(2022)084",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "JLAB-THY-22-3550",
    month = "1",
    year = "2022"
}

%Jan. 26, 2022
@article{Aguilar-Saavedra:2022ejy,
    author = "Aguilar-Saavedra, J. A.",
    title = "{Taming modeling uncertainties with Mass Unspecific Supervised Tagging}",
    eprint = "2201.11143",
      journal="Eur.Phys.J.C",
      volume="82",
      pages="270",
      doi="10.1140/epjc/s10052-022-10221-3",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IFT-UAM/CSIC-22-5",
    month = "1",
    year = "2022"
}
%Jan. 20, 2022
@article{CMS:2022prd,
    author = "{CMS Collaboration}",
    title = "{Identification of hadronic tau lepton decays using a deep neural network}",
    eprint = "2201.08458",
      journal="JINST",
      volume="17",
      pages="P07023",
      doi="10.1088/1748-0221/17/07/P07023",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CMS-TAU-20-001, CERN-EP-2021-257",
    month = "1",
    year = "2022"
}
@article{Gong:2022lye,
    author = "Gong, Shiqi and Meng, Qi and Zhang, Jue and Qu, Huilin and Li, Congqiao and Qian, Sitian and Du, Weitao and Ma, Zhi-Ming and Liu, Tie-Yan",
    title = "{An Efficient Lorentz Equivariant Graph Neural Network for Jet Tagging}",
    eprint = "2201.08187",
      journal="JHEP",
      volume="07",
      pages="030",
      doi="10.1007/JHEP07(2022)030",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "1",
    year = "2022"
}

%Jan. 18, 2022
@article{Liyanage:2022byj,
    author = "Liyanage, Dananjaya and Ji, Yi and Everett, Derek and Heffernan, Matthew and Heinz, Ulrich and Mak, Simon and Paquet, Jean-Francois",
    title = "{Efficient emulation of relativistic heavy ion collisions with transfer learning}",
    eprint = "2201.07302",
      journal="Phys.Rev.C",
      volume="105",
      pages="034910",
      doi="10.1103/PhysRevC.105.034910",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    month = "1",
    year = "2022"
}
@article{Iranipour:2022iak,
    author = "Iranipour, Shayan and Ubiali, Maria",
    title = "{A new generation of simultaneous fits to LHC data using deep learning}",
    eprint = "2201.07240",
      journal="JHEP",
      volume="05",
      pages="032",
      doi="10.1007/JHEP05(2022)032",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "1",
    year = "2022"
}

%Jan 12, 2022
@article{Rahman:2022tfq,
    author = "Rahman, R. M. Abdel and El-Bakry, Mahmoud Y. and Habashy, D. M. and Tawfik, Abdel Nasser and Hanafy, Mahmoud",
    title = "{Particle ratios with in Hadron Resonance Gas (HRG) and Artificial Neural Network (ANN) models}",
    eprint = "2201.04444",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "1",
    year = "2022"
}
@inproceedings{Jwa:2019zlh,
    author = "Jwa, Yeon-Jae and Guglielmo, Giuseppe Di and Carloni, Luca P. and Karagiorgi, Georgia",
    title = "{Accelerating Deep Neural Networks for Real-time Data Selection for High-resolution Imaging Particle Detectors}",
    booktitle = "{2019 New York Scientific Data Summit}: {Data-Driven Discovery in Science and Industry}",
    eprint = "2201.04740",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    doi = "10.1109/NYSDS.2019.8909784",
    month = "6",
    year = "2019"
}
@article{Karl:2022jda,
    author = "Karl, Christian and Eller, Philipp and Mertens, Susanne",
    title = "{Fast and precise model calculation for KATRIN using a neural network}",
    eprint = "2201.04523",
      journal="Eur.Phys.J.C",
      volume="82",
      pages="439",
      doi="10.1140/epjc/s10052-022-10384-z",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "1",
    year = "2022"
}

%Jan 7, 2022
@article{Shi:2022yqw,
    author = "Shi, Shuzhe and Wang, Lingxiao and Zhou, Kai",
    title = "{Rethinking the ill-posedness of the spectral function reconstruction -- why is it fundamentally hard and how Artificial Neural Networks can help}",
    eprint = "2201.02564",
      journal="Comput.Phys.Commun.",
      volume="282",
      pages="108547",
      doi="10.1016/j.cpc.2022.108547",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "1",
    year = "2022"
}
%Jan 6, 2022
@article{Badea:2022dzb,
    author = "Badea, Anthony and Fawcett, William James and Huth, John and Khoo, Teng Jian and Poggi, Riccardo and Lee, Lawrence",
    title = "{Solving Combinatorial Problems at Particle Colliders Using Machine Learning}",
    eprint = "2201.02205",
      journal="Phys.Rev.D",
      volume="106",
      pages="016001",
      doi="10.1103/PhysRevD.106.016001",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "1",
    year = "2022"
}

%Jan 5, 2022
@article{Soma:2022qnv,
    author = {Soma, Shriya and Wang, Lingxiao and Shi, Shuzhe and St\"ocker, Horst and Zhou, Kai},
    title = "{Neural network reconstruction of the dense matter equation of state from neutron star observables}",
    eprint = "2201.01756",
      journal="JCAP",
      volume="08",
      pages="071",
      doi="10.1088/1475-7516/2022/08/071",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "1",
    year = "2022"
}

%Jan 4, 2022
@article{Konar:2022bgc,
    author = "Konar, Partha and Ngairangbam, Vishal S.",
    title = "{Influence of QCD parton shower in deep learning invisible Higgs through vector boson fusion}",
    eprint = "2201.01040",
      journal="Phys.Rev.D",
      volume="105",
      pages="113003",
      doi="10.1103/PhysRevD.105.113003",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "1",
    year = "2022"
}

%Dec. 31, 2021
@article{Feng:2021eke,
    author = "Feng, Jie and Li, Mingqiu and Yan, Qi-Shu and Zeng, Yu-Pan and Zhang, Hong-Hao and Zhang, Yongchao and Zhao, Zhijie",
    title = "{Improving heavy Dirac neutrino prospects at future hadron colliders using machine learning}",
    eprint = "2112.15312",
      journal="JHEP",
      volume="09",
      pages="141",
      doi="10.1007/JHEP09(2022)141",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2021"
}

%Dec. 24, 2021
@inproceedings{Windisch:2021mem,
    author = "Windisch, Andreas and Gallien, Thomas and Schwarzlmueller, Christopher",
    title = "{A machine learning pipeline for autonomous numerical analytic continuation of Dyson-Schwinger equations}",
    eprint = "2112.13011",
      journal="EPJ Web Conf.",
      volume="258",
      pages="09003",
      doi="10.1051/epjconf/202225809003",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2021"
}

%Dec. 23, 2021
@inproceedings{Bulusu:2021njs,
    author = {Bulusu, Srinath and Favoni, Matteo and Ipp, Andreas and M\"uller, David I. and Schuh, Daniel},
    title = "{Equivariance and generalization in neural networks}",
    eprint = "2112.12493",
      journal="EPJ Web Conf.",
      volume="258",
      pages="09001",
      doi="10.1051/epjconf/202225809001",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "12",
    year = "2021"
}

%Dec. 17, 2021
@article{Buhmann:2021caf,
    author = {Buhmann, Erik and Diefenbacher, Sascha and Eren, Engin and Gaede, Frank and Hundhausen, Daniel and Kasieczka, Gregor and Korcari, William and Kr\"uger, Katja and McKeown, Peter and Rustige, Lennart},
    title = "{Hadrons, Better, Faster, Stronger}",
    eprint = "2112.09709",
      journal="Mach.Learn.Sci.Tech.",
      volume="3",
      pages="025014",
      doi="10.1088/2632-2153/ac7848",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "12",
    year = "2021"
}

%Dec. 16, 2021
@article{Dreyer:2021hhr,
    author = "Dreyer, Frederic and Soyez, Gregory and Takacs, Adam",
    title = "{Quarks and gluons in the Lund plane}",
    eprint = "2112.09140",
      journal="JHEP",
      volume="08",
      pages="177",
      doi="10.1007/JHEP08(2022)177",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2021"
}

@article{Winterhalder:2021ngy,
    author = "Winterhalder, Ramon and Magerya, Vitaly and Villa, Emilio and Jones, Stephen P. and Kerner, Matthias and Butter, Anja and Heinrich, Gudrun and Plehn, Tilman",
    title = "{Targeting Multi-Loop Integrals with Neural Networks}",
    eprint = "2112.09145",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "CP3-21-65, KA-TP-29-2021, P3H-21-105",
    doi = "10.21468/SciPostPhys.12.4.129",
    journal = "SciPost Phys.",
    volume = "12",
    pages = "129",
    year = "2022"
}

%Dec. 15, 2021
@article{Liang:2021nsz,
    author = "Liang, Shixiao and Higuera, Aaron and Peters, Christina and Roy, Venkat and Bajwa, Waheed U. and Shatkay, Hagit and Tunnell, Christopher D.",
    title = "{Domain-informed neural networks for interaction localization within astroparticle experiments}",
    eprint = "2112.07995",
      journal="Front.Artif.Intell.",
      volume="5",
      pages="832909",
      doi="10.3389/frai.2022.832909",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "12",
    year = "2021"
}
@article{Wong:2021zvv,
    author = "Wong, Ming-Liang and Edmonds, Andrew and Wu, Chen",
    title = "{Feed-forward neural network unfolding}",
    eprint = "2112.08180",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "12",
    year = "2021"
}

%Dec. 14, 2021
@article{Craven:2021ems,
    author = "Craven, Sean and Croon, Djuna and Cutting, Daniel and Houtz, Rachel",
    title = "{Machine learning a manifold}",
    eprint = "2112.07673",
      journal="Phys.Rev.D",
      volume="105",
      pages="096030",
      doi="10.1103/PhysRevD.105.096030",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IPPP/21/56 HIP-2021-50/TH, IPPP/21/56",
    month = "12",
    year = "2021"
}

%Dec. 10, 2021
@article{Desai:2021wbb,
    author = "Desai, Krish and Nachman, Benjamin and Thaler, Jesse",
    title = "{SymmetryGAN: Symmetry Discovery with Deep Learning}",
    eprint = "2112.05722",
      journal="Phys.Rev.D",
      volume="105",
      pages="096031",
      doi="10.1103/PhysRevD.105.096031",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MIT-CTP 5377",
    month = "12",
    year = "2021"
}

%Dec. 9, 2021
@article{Ngairangbam:2021yma,
    author = "Ngairangbam, Vishal S. and Spannowsky, Michael and Takeuchi, Michihisa",
    title = "{Anomaly detection in high-energy physics using a quantum autoencoder}",
    eprint = "2112.04958",
      journal="Phys.Rev.D",
      volume="105",
      pages="095004",
      doi="10.1103/PhysRevD.105.095004",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "OU-HET-1125",
    month = "12",
    year = "2021"
}
@article{Renteria-Estrada:2021zrd,
    author = "Renter\'\i{}a-Estrada, David F. and Hern\'andez-Pinto, Roger J. and Sborlini, German F. R. and Zurita, Pia",
    title = "{Reconstructing partonic kinematics at colliders with Machine Learning}",
    eprint = "2112.05043",
      journal="SciPost Phys.Core",
      volume="5",
      pages="049",
      doi="10.21468/SciPostPhysCore.5.4.049",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "DESY 21-211",
    month = "12",
    year = "2021"
}

%Dec. 7, 2021
@article{Karagiorgi:2021ngt,
    author = "Karagiorgi, Georgia and Kasieczka, Gregor and Kravitz, Scott and Nachman, Benjamin and Shih, David",
    title = "{Machine Learning in the Search for New Fundamental Physics}",
    eprint = "2112.03769",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2021"
}
@article{Xiang:2021ssj,
    author = "Xiang, Pei and Zhao, Yuan-Sheng and Huang, Xu-Guang",
    title = "{Determination of impact parameter in high-energy heavy-ion collisions via deep learning}",
    eprint = "2112.03824",
      journal="Chin.Phys.C",
      volume="46",
      pages="074110",
      doi="10.1088/1674-1137/ac6490",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2021"
}

%Dec. 6, 2021
@article{Canelli:2021aps,
    author = "Canelli, Florencia and de Cosa, Annapaola and Pottier, Luc Le and Niedziela, Jeremi and Pedro, Kevin and Pierini, Maurizio",
    title = "{Autoencoders for Semivisible Jet Detection}",
    eprint = "2112.02864",
      journal="JHEP",
      volume="02",
      pages="074",
      doi="10.1007/JHEP02(2022)074",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "FERMILAB-PUB-21-653-CMS",
    month = "12",
    year = "2021"
}

%Dec. 4, 2021
@article{Boehnlein:2021eym,
    author = "Boehnlein, Amber and others",
    title = "{Artificial Intelligence and Machine Learning in Nuclear Physics}",
    eprint = "2112.02309",
      journal="Rev.Mod.Phys.",
      volume="94",
      pages="031003",
      doi="10.1103/RevModPhys.94.031003",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    month = "12",
    year = "2021"
}

%Dec. 3, 2021
@article{Elabd:2021lgo,
    author = "Elabd, Abdelrahman and others",
    title = "{Graph Neural Networks for Charged Particle Tracking on FPGAs}",
    eprint = "2112.02048",
      journal="Front.Big Data",
      volume="5",
      pages="828666",
      doi="10.3389/fdata.2022.828666",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "12",
    year = "2021"
}
@article{Jercic:2021bfc,
    author = "Jercic, Marko and Jercic, Ivan and Poljak, Nikola",
    title = "{Introduction and analysis of a method for the investigation of QCD-like tree data}",
    eprint = "2112.01809",
      journal="Entropy",
      volume="24",
      doi="10.3390/e24010104",
    archivePrefix = "arXiv",
    primaryClass = "physics.comp-ph",
    month = "12",
    year = "2021"
}

%Dec. 1, 2021
@inproceedings{Chen:2021jey,
    author = "Chen, Shi-Yang and Ding, Heng-Tong and Liu, Fei-Yi and Papp, Gabor and Yang, Chun-Bin",
    title = "{Machine learning Hadron Spectral Functions in Lattice QCD}",
    booktitle = "{38th International Symposium on Lattice Field Theory}",
    eprint = "2112.00460",
      journal="PoS",
      volume="LATTICE2021",
      pages="148",
      doi="10.22323/1.396.0148",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "12",
    year = "2021"
}
@inproceedings{Du:2021qwv,
    author = "Du, Yi-Lun and Pablos, Daniel and Tywoniuk, Konrad",
    title = "{Classification of quark and gluon jets in hot QCD medium with deep learning}",
    booktitle = "{Particles and Nuclei International Conference~}",
    eprint = "2112.00681",
      journal="PoS",
      volume="PANIC2021",
      pages="224",
      doi="10.22323/1.380.0224",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2021"
}
@inproceedings{Du:2021brx,
    author = "Du, Yi-Lun and Pablos, Daniel and Tywoniuk, Konrad",
    title = "{Jet tomography in hot QCD medium with deep learning}",
    booktitle = "{European Physical Society Conference on High Energy Physics 2021}",
    eprint = "2112.00679",
      journal="PoS",
      volume="EPS-HEP2021",
      pages="302",
      doi="10.22323/1.398.0302",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2021"
}
@article{Chisholm:2021pdn,
    author = "Chisholm, A. and Neep, T. and Nikolopoulos, K. and Owen, R. and Reynolds, E. and Silva, J.",
    title = "{Non-Parametric Data-Driven Background Modelling using Conditional Probabilities}",
    eprint = "2112.00650",
      journal="JHEP",
      volume="10",
      pages="001",
      doi="10.1007/JHEP10(2022)001",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "12",
    year = "2021"
}

%Nov. 30, 2021
@article{Biro:2021zgm,
    author = {B\'\i{}r\'o, G\'abor and Tank\'o-Bartalis, Bence and Barnaf\"oldi, Gergely G\'abor},
    title = "{Studying Hadronization by Machine Learning Techniques}",
    eprint = "2111.15655",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2021"
}
@inproceedings{Kitouni:2021fkh,
    author = "Kitouni, Ouail and Nolte, Niklas and Williams, Mike",
    title = "{Robust and Provably Monotonic Networks}",
    booktitle = "{35th Conference on Neural Information Processing Systems}",
    eprint = "2112.00038",
      journal="Mach.Learn.Sci.Tech.",
      volume="4",
      pages="035020",
      doi="10.1088/2632-2153/aced80",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "11",
    year = "2021"
}

%Nov. 29, 2021
@article{Lai:2021ckt,
    author = "Lai, Yue Shi and Mulligan, James and P\l{}osko\'n, Mateusz and Ringer, Felix",
    title = "{The information content of jet quenching and machine learning assisted observable design}",
    eprint = "2111.14589",
      journal="JHEP",
      volume="10",
      pages="011",
      doi="10.1007/JHEP10(2022)011",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "YITP-SB-2021-22",
    month = "11",
    year = "2021"
}
@article{Chahrour:2021eiv,
    author = "Chahrour, Ibrahim and Wells, James D.",
    title = "{Function Approximation for High-Energy Physics: Comparing Machine Learning and Interpolation Methods}",
    eprint = "2111.14788",
      journal="SciPost Phys.",
      volume="12",
      pages="187",
      doi="10.21468/SciPostPhys.12.6.187",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2021"
}
@article{Wang:2021jou,
    author = "Wang, Lingxiao and Shi, Shuzhe and Zhou, Kai",
    title = "{Reconstructing spectral functions via automatic differentiation}",
    eprint = "2111.14760",
      journal="Phys.Rev.D",
      volume="106",
      pages="L051502",
      doi="10.1103/PhysRevD.106.L051502",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2021"
}

%Nov. 26, 2021
@article{dAgnolo:2021aun,
    author = "d'Agnolo, Raffaele Tito and Grosso, Gaia and Pierini, Maurizio and Wulzer, Andrea and Zanetti, Marco",
    title = "{Learning New Physics from an Imperfect Machine}",
    eprint = "2111.13633",
      journal="Eur.Phys.J.C",
      volume="82",
      pages="275",
      doi="10.1140/epjc/s10052-022-10226-y",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2021"
}

%Nov. 24, 2021
@inproceedings{Mokhtar:2021bkf,
    author = "Mokhtar, Farouk and Kansal, Raghav and Diaz, Daniel and Duarte, Javier and Pata, Joosep and Pierini, Maurizio and Vlimant, Jean-Roch",
    title = "{Explaining machine-learned particle-flow reconstruction}",
    booktitle = "{35th Conference on Neural Information Processing Systems}",
    eprint = "2111.12840",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "11",
    year = "2021"
}
@inproceedings{Tsan:2021brw,
    author = "Tsan, Steven and Kansal, Raghav and Aportela, Anthony and Diaz, Daniel and Duarte, Javier and Krishna, Sukanya and Mokhtar, Farouk and Vlimant, Jean-Roch and Pierini, Maurizio",
    title = "{Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance}",
    booktitle = "{35th Conference on Neural Information Processing Systems}",
    eprint = "2111.12849",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "11",
    year = "2021"
}

%Nov. 23, 2021
@article{Chekanov:2021pus,
    author = "Chekanov, S. V. and Hopkins, W.",
    title = "{Event-based anomaly detection for new physics searches at the LHC using machine learning}",
    eprint = "2111.12119",
      journal="Universe",
      volume="8",
      pages="494",
      doi="10.3390/universe8100494",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "ANL-HEP-17239",
    month = "11",
    year = "2021"
}
@inproceedings{Beauchesne:2021qrw,
    author = "Beauchesne, Hugues and di Cortona, Giovanni Grilli",
    title = "{Event-level variables for semivisible jets using anomalous jet tagging}",
    booktitle = "{2022 Snowmass Summer Study}",
    eprint = "2111.12156",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2021"
}

%Nov. 22, 2021
@article{Kronheim:2021hdb,
    author = "Kronheim, Braden and Kuchera, Michelle P. and Prosper, Harrison B. and Ramanujan, Raghuram",
    title = "{Implicit Quantile Neural Networks for Jet Simulation and Correction}",
    eprint = "2111.11415",
    archivePrefix = "arXiv",
    primaryClass = "physics.comp-ph",
    month = "11",
    year = "2021"
}
@mastersthesis{Elkarghli:2020owr,
    author = "Elkarghli, Zakaria A.",
    title = "{Improvement of the NOvA Near Detector Event Reconstruction and Primary Vertexing through the Application of Machine Learning Methods}",
    eprint = "2112.01494",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    school = "Wichita State U.",
    year = "2020"
}

%Nov. 15, 2021
@article{Kim:2021wrr,
    author = "Kim, Minho and Ko, Pyungwon and Park, Jae-hyeon and Park, Myeonghun",
    title = "{Leveraging Quantum Annealer to identify an Event-topology at High Energy Colliders}",
    eprint = "2111.07806",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "KIAS--P21050",
    month = "11",
    year = "2021"
}

%Nov. 11, 2021
@article{Mikuni:2021nwn,
    author = "Mikuni, Vinicius and Nachman, Benjamin and Shih, David",
    title = "{Online-compatible Unsupervised Non-resonant Anomaly Detection}",
    eprint = "2111.06417",
      journal="Phys.Rev.D",
      volume="105",
      pages="055006",
      doi="10.1103/PhysRevD.105.055006",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "11",
    year = "2021"
}

%Nov. 10, 2021
@article{Dolan:2021pml,
    author = "Dolan, Matthew J. and Ore, Ayodele",
    title = "{Metalearning and data augmentation for mass-generalized jet taggers}",
    eprint = "2111.06047",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1103/PhysRevD.105.094030",
    journal = "Phys. Rev. D",
    volume = "105",
    number = "9",
    pages = "094030",
    year = "2022"
}

%Nov. 9, 2021
@article{Tombs:2021wae,
    author = "Tombs, Rupert and Lester, Christopher G.",
    title = "{A method to challenge symmetries in data with self-supervised learning}",
    eprint = "2111.05442",
      journal="JINST",
      volume="17",
      pages="P08024",
      doi="10.1088/1748-0221/17/08/P08024",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2021"
}

%Nov. 8, 2021
@inproceedings{Favoni:2021epq,
    author = {Favoni, Matteo and Ipp, Andreas and M\"uller, David I. and Schuh, Daniel},
    title = "{Lattice gauge symmetry in neural networks}",
    booktitle = "{38th International Symposium on Lattice Field Theory}",
    eprint = "2111.04389",
      journal="PoS",
      volume="LATTICE2021",
      pages="185",
      doi="10.22323/1.396.0185",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "11",
    year = "2021"
}

%Nov. 5, 2021
@article{Cai:2021hnn,
    author = "Cai, Tianji and Cheng, Junyi and Craig, Katy and Craig, Nathaniel",
    title = "{Which Metric on the Space of Collider Events?}",
    eprint = "2111.03670",
      journal="Phys.Rev.D",
      volume="105",
      pages="076003",
      doi="10.1103/PhysRevD.105.076003",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2021"
}

%Nov. 4, 2021
@article{Aguilar-Saavedra:2021utu,
    author = "Aguilar-Saavedra, J. A.",
    title = "{Anomaly detection from mass unspecific jet tagging}",
    eprint = "2111.02647",
      journal="Eur.Phys.J.C",
      volume="82",
      pages="130",
      doi="10.1140/epjc/s10052-022-10058-w",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IFT-UAM/CSIC-21-122",
    month = "11",
    year = "2021"
}

%Nov. 2, 2021
@article{Atkinson:2021jnj,
    author = "Atkinson, Oliver and Bhardwaj, Akanksha and Brown, Stephen and Englert, Christoph and Miller, David J. and Stylianou, Panagiotis",
    title = "{Improved Constraints on Effective Top Quark Interactions using Edge Convolution Networks}",
    eprint = "2111.01838",
      journal="JHEP",
      volume="04",
      pages="137",
      doi="10.1007/JHEP04(2022)137",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2021"
}

%Oct. 31, 2021
@article{Lester:2021aks,
    author = "Lester, Christopher G. and Tombs, Rupert",
    title = "{Stressed GANs snag desserts, a.k.a Spotting Symmetry Violation with Symmetric Functions}",
    eprint = "2111.00616",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2021"
}

%October 28, 2021
@article{Habashy:2021qku,
    author = "Habashy, D. M. and El-Bakry, Mahmoud Y. and Scheinast, Werner and Hanafy, Mahmoud",
    title = "{Entropy per rapidity in Pb-Pb central collisions using Thermal and Artificial neural network(ANN) models at LHC energies}",
    eprint = "2110.15026",
      journal="Chin.Phys.C",
      volume="46",
      pages="073103",
      doi="10.1088/1674-1137/ac5f9d",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2021"
}
@article{Vidal:2021oed,
    author = "Vidal, Xabier Cid and Maro\~nas, Lorena Dieste and Su\'arez, \'Alvaro D\'osil",
    title = "{How to use Machine Learning to improve the discrimination between signal and background at particle colliders}",
    eprint = "2110.15099",
      journal="Appl.Sciences",
      volume="11",
      pages="11076",
      doi="10.3390/app112211076",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "10",
    year = "2021"
}

%October 26, 2021
@article{Ng:2021ibr,
    author = "Ng, L. and Bibrzycki, L. and Nys, J. and Fernandez-Ramirez, C. and Pilloni, A. and Mathieu, V. and Rasmusson, A. J. and Szczepaniak, A. P.",
    collaboration = "JPAC",
    title = "{Deep Learning Exotic Hadrons}",
    eprint = "2110.13742",
      journal="Phys.Rev.D",
      volume="105",
      pages="L091501",
      doi="10.1103/PhysRevD.105.L091501",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "JLAB-THY-21-3518",
    month = "10",
    year = "2021"
}
@article{MicroBooNE:2021ojx,
    author = "{MicroBooNE Collaboration}",
    title = "{Wire-Cell 3D Pattern Recognition Techniques for Neutrino Event Reconstruction in Large LArTPCs: Algorithm Description and Quantitative Evaluation with MicroBooNE Simulation}",
    eprint = "2110.13961",
      journal="JINST",
      volume="17",
      pages="P01037",
      doi="10.1088/1748-0221/17/01/P01037",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "FERMILAB-PUB-21-509-ND",
    month = "10",
    year = "2021"
}
@article{MicroBooNE:2021nxr,
    author = "{MicroBooNE Collaboration}",
    title = "{Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction}",
    eprint = "2110.13978",
      journal="Phys.Rev.D",
      volume="105",
      pages="112005",
      doi="10.1103/PhysRevD.105.112005",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "FERMILAB-PUB-21-503-ND",
    month = "10",
    year = "2021"
}
@article{MicroBooNE:2021jwr,
    author = "{MicroBooNE Collaboration}",
    title = "{Search for an anomalous excess of charged-current quasi-elastic $\nu_e$ interactions with the MicroBooNE experiment using Deep-Learning-based reconstruction}",
    eprint = "2110.14080",
      journal="Phys.Rev.D",
      volume="105",
      pages="112003",
      doi="10.1103/PhysRevD.105.112003",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "FERMILAB-PUB-21-507-ND",
    month = "10",
    year = "2021"
}

%October 23, 2021
@article{Herrero-Garcia:2021goa,
    author = "Herrero-Garcia, Juan and Patrick, Riley and Scaffidi, Andre",
    title = "{Signal-agnostic dark matter searches in direct detection data with machine learning}",
    eprint = "2110.12248",
      journal="JCAP",
      volume="02",
      pages="039",
      doi="10.1088/1475-7516/2022/02/039",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2021"
}

%October 22, 2021
@article{MicroBooNE:2021nss,
    author = "{MicroBooNE Collaboration}",
    title = "{Electromagnetic Shower Reconstruction and Energy Validation with Michel Electrons and $\pi^0$ Samples for the Deep-Learning-Based Analyses in MicroBooNE}",
    eprint = "2110.11874",
      journal="JINST",
      volume="16",
      pages="T12017",
      doi="10.1088/1748-0221/16/12/T12017",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "FERMILAB-PUB-21-499-ND",
    month = "10",
    year = "2021"
}
@article{Butter:2021csz,
    author = "Butter, Anja and Heimel, Theo and Hummerich, Sander and Krebs, Tobias and Plehn, Tilman and Rousselot, Armand and Vent, Sophia",
    title = "{Generative Networks for Precision Enthusiasts}",
    eprint = "2110.13632",
      journal="SciPost Phys.",
      volume="14",
      pages="078",
      doi="10.21468/SciPostPhys.14.4.078",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "10",
    year = "2021"
}

%October 21, 2021
@article{Krause:2021wez,
    author = "Krause, Claudius and Shih, David",
    title = "{CaloFlow II: Even Faster and Still Accurate Generation of Calorimeter Showers with Normalizing Flows}",
    eprint = "2110.11377",
      journal="Phys.Rev.D",
      volume="107",
      pages="113004",
      doi="10.1103/PhysRevD.107.113004",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "10",
    year = "2021"
}

%October 20, 2021
@article{Carloni:2021zbc,
    author = "Carloni, Kiara and Kamp, Nicholas W. and Schneider, Austin and Conrad, Janet M.",
    title = "{Convolutional Neural Networks for Shower Energy Prediction in Liquid Argon Time Projection Chambers}",
    eprint = "2110.10766",
      journal="JINST",
      volume="17",
      pages="P02022",
      doi="10.1088/1748-0221/17/02/P02022",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "10",
    year = "2021"
}
@inproceedings{Coarasa:2021fpv,
    author = "Coarasa, I. and others",
    title = "{Machine-learning techniques applied to three-year exposure of ANAIS-112}",
    booktitle = "{17th International Conference on Topics in Astroparticle and Underground Physics}",
    eprint = "2110.10649",
      journal="J.Phys.Conf.Ser.",
      volume="2156",
      pages="012036",
      doi="10.1088/1742-6596/2156/1/012036",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.IM",
    month = "10",
    year = "2021"
}

%October 19, 2021
@article{Graziani:2021vai,
    author = "Graziani, Giacomo and Anderlini, Lucio and Mariani, Saverio and Franzoso, Edoardo and Pappalardo, Luciano and di Nezza, Pasquale",
    title = "{A Neural-Network-defined Gaussian Mixture Model for particle identification applied to the LHCb fixed-target programme}",
    eprint = "2110.10259",
      journal="JINST",
      volume="17",
      pages="P02018",
      doi="10.1088/1748-0221/17/02/P02018",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "LHCb-DP-2021-007",
    month = "10",
    year = "2021"
}
@article{Bahl:2021dnc,
    author = "Bahl, Henning and Brass, Simon",
    title = "{Constraining CP-violation in the Higgs-top-quark interaction using machine-learning-based inference}",
    eprint = "2110.10177",
      journal="JHEP",
      volume="03",
      pages="017",
      doi="10.1007/JHEP03(2022)017",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2021"
}

%October 18, 2021
@article{Bister:2021arb,
    author = {Bister, Teresa and Erdmann, Martin and K\"othe, Ullrich and Schulte, Josina},
    title = "{Inference of cosmic-ray source properties by conditional invertible neural networks}",
    eprint = "2110.09493",
      journal="Eur.Phys.J.C",
      volume="82",
      pages="171",
      doi="10.1140/epjc/s10052-022-10138-x",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.IM",
    month = "10",
    year = "2021"
}

%Oct. 17, 2021
@article{Chen:2019avc,
    author = "Chen, Yingtian and Ma, Bo-Qiang",
    title = "{Novel pre-burst stage of gamma-ray bursts from machine learning}",
    eprint = "1910.08043",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.HE",
    doi = "10.1016/j.jheap.2021.09.002",
    journal = "JHEAp",
    volume = "32",
    pages = "128",
    year = "2021"
}

%October 16, 2021
@article{Jawahar:2021vyu,
    author = "Jawahar, Pratik and Aarrestad, Thea and Pierini, Maurizio and Wozniak, Kinga A. and Ngadiuba, Jennifer and Duarte, Javier and Tsan, Steven",
    title = "{Improving Variational Autoencoders for New Physics Detection at the LHC with Normalizing Flows}",
    eprint = "2110.08508",
      journal="Front.Big Data",
      volume="5",
      pages="803685",
      doi="10.3389/fdata.2022.803685",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2021"
}

%October 15, 2021
@inproceedings{Anderlini:2021qpm,
    author = "Anderlini, Lucio",
    title = "{Machine Learning for the LHCb Simulation}",
    eprint = "2110.07925",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "10",
    year = "2021"
}

%October 14, 2021
@article{Barman:2021yfh,
    author = "Barman, Rahool Kumar and Gon\c{c}alves, Dorival and Kling, Felix",
    title = "{Machine Learning the Higgs-Top CP Phase}",
    eprint = "2110.07635",
      journal="Phys.Rev.D",
      volume="105",
      pages="035023",
      doi="10.1103/PhysRevD.105.035023",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "DESY 21-161",
    month = "10",
    year = "2021"
}

%October 13, 2021
@article{Fraser:2021lxm,
    author = "Fraser, Katherine and Homiller, Samuel and Mishra, Rashmish K. and Ostdiek, Bryan and Schwartz, Matthew D.",
    title = "{Challenges for Unsupervised Anomaly Detection in Particle Physics}",
    eprint = "2110.06948",
      journal="JHEP",
      volume="03",
      pages="066",
      doi="10.1007/JHEP03(2022)066",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "10",
    year = "2021"
}
@article{Bravo-Prieto:2021ehz,
    author = "Bravo-Prieto, Carlos and Baglio, Julien and C\`e, Marco and Francis, Anthony and Grabowska, Dorota M. and Carrazza, Stefano",
    title = "{Style-based quantum generative adversarial networks for Monte Carlo events}",
    eprint = "2110.06933",
      journal="Quantum",
      volume="6",
      pages="777",
      doi="10.22331/q-2022-08-17-777",
    archivePrefix = "arXiv",
    primaryClass = "quant-ph",
    reportNumber = "CERN-TH-2021-139, TIF-UNIMI-2021-14",
    month = "10",
    year = "2021"
}
@article{Mishra-Sharma:2021oxe,
    author = "Mishra-Sharma, Siddharth and Cranmer, Kyle",
    title = "{A neural simulation-based inference approach for characterizing the Galactic Center $\gamma$-ray excess}",
    eprint = "2110.06931",
      journal="Phys.Rev.D",
      volume="105",
      pages="063017",
      doi="10.1103/PhysRevD.105.063017",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.HE",
    reportNumber = "MIT-CTP/5337",
    month = "10",
    year = "2021"
}

%October 11, 2021
@article{Arratia:2021tsq,
    author = "Arratia, Miguel and Britzger, Daniel and Long, Owen and Nachman, Benjamin",
    title = "{Reconstructing the Kinematics of Deep Inelastic Scattering with Deep Learning}",
    eprint = "2110.05505",
      journal="Nucl.Instrum.Meth.A",
      volume="1025",
      pages="166164",
      doi="10.1016/j.nima.2021.166164",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "MPP-2021-174",
    month = "10",
    year = "2021"
}

%October 8, 2021
@inproceedings{Mishra:2021eqb,
    author = "Mishra, Aditya Nath and Mallick, Neelkamal and Tripathy, Sushanta and Deb, Suman and Sahoo, Raghunath",
    title = "{Implementation of machine learning techniques to predict impact parameter and transverse spherocity in heavy-ion collisions at the LHC}",
    booktitle = "{9th Large Hadron Collider Physics Conference}",
    eprint = "2110.04026",
      journal="PoS",
      volume="LHCP2021",
      pages="265",
      doi="10.22323/1.397.0265",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2021"
}

%October 5, 2021
@mastersthesis{Khalek:2021gon,
    author = "Khalek, Rabah Abdul",
    title = "{Exploring the substructure of nucleons and nuclei with machine learning}",
    eprint = "2110.01924",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    type = "Other thesis",
    month = "10",
    year = "2021"
}

%October 4, 2021
@inproceedings{Zepeda:2021tzp,
    author = "Zepeda, Erik and Ortiz, Antonio",
    title = "{Multiparton Interactions in pp collisions from Machine Learning}",
    booktitle = "{9th Large Hadron Collider Physics Conference}",
    eprint = "2110.01748",
      journal="PoS",
      volume="LHCP2021",
      pages="347",
      doi="10.22323/1.397.0347",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2021"
}
@inproceedings{Mishra-Sharma:2021nhh,
    author = "Mishra-Sharma, Siddharth",
    title = "{Inferring dark matter substructure with astrometric lensing beyond the power spectrum}",
    booktitle = "{35th Conference on Neural Information Processing Systems}",
    eprint = "2110.01620",
      journal="Mach.Learn.Sci.Tech.",
      volume="3",
      pages="01LT03",
      doi="10.1088/2632-2153/ac494a",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.CO",
    reportNumber = "MIT-CTP/5331",
    month = "10",
    year = "2021"
}

%October 2, 2021
@article{Abudinen:2021qpc,
    author = "Abudin\'en, F. and others",
    title = "{Punzi-loss: A non-differentiable metric approximation for sensitivity optimisation in the search for new particles}",
    eprint = "2110.00810",
      journal="Eur.Phys.J.C",
      volume="82",
      pages="121",
      doi="10.1140/epjc/s10052-022-10070-0",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "10",
    year = "2021"
}

%September 30, 2021
@inproceedings{Orzari:2021suh,
    author = "Orzari, Breno and Tomei, Thiago and Pierini, Maurizio and Touranakou, Mary and Duarte, Javier and Kansal, Raghav and Vlimant, Jean-Roch and Gunopulos, Dimitrios",
    title = "{Sparse Data Generation for Particle-Based Simulation of Hadronic Jets in the LHC}",
    booktitle = "{38th International Conference on Machine Learning Conference}",
    eprint = "2109.15197",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "9",
    year = "2021"
}

%September 29, 2021
@article{Konar:2021zdg,
    author = "Konar, Partha and Ngairangbam, Vishal S. and Spannowsky, Michael",
    title = "{Energy-weighted Message Passing: an infra-red and collinear safe graph neural network algorithm}",
    eprint = "2109.14636",
      journal="JHEP",
      volume="02",
      pages="060",
      doi="10.1007/JHEP02(2022)060",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IPPP/21/33",
    month = "9",
    year = "2021"
}

%September 27, 2021
@article{Arratia:2021otl,
    author = "Arratia, Miguel and others",
    title = "{Presenting Unbinned Differential Cross Section Results}",
    eprint = "2109.13243",
      journal="JINST",
      volume="17",
      pages="P01024",
      doi="10.1088/1748-0221/17/01/P01024",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "CP3-21-54",
    month = "9",
    year = "2021"
}

%September 24, 2021
@article{Danziger:2021eeg,
    author = "Danziger, Katharina and Jan\ss{}en, Timo and Schumann, Steffen and Siegert, Frank",
    title = "{Accelerating Monte Carlo event generation -- rejection sampling using neural network event-weight estimates}",
    eprint = "2109.11964",
      journal="SciPost Phys.",
      volume="12",
      pages="164",
      doi="10.21468/SciPostPhys.12.5.164",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MCNET-21-13",
    month = "9",
    year = "2021"
}
@article{Cornell:2021gut,
    author = "Cornell, Alan S. and Doorsamy, Wesley and Fuks, Benjamin and Harmsen, Gerhard and Mason, Lara",
    title = "{Boosted decision trees in the era of new physics: a smuon analysis case study}",
    eprint = "2109.11815",
      journal="JHEP",
      volume="04",
      pages="015",
      doi="10.1007/JHEP04(2022)015",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2021"
}

%September 22, 2021
@inproceedings{Collins:2021pld,
    author = "Collins, Jack H.",
    title = "{An Exploration of Learnt Representations of W Jets}",
    eprint = "2109.10919",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "SLAC-PUB-17622",
    month = "9",
    year = "2021"
}

%September 21, 2021
@article{Butter:2021rvz,
    author = "Butter, Anja and Plehn, Tilman and Soybelman, Nathalie",
    title = "{Back to the Formula -- LHC Edition}",
    eprint = "2109.10414",
    journal="SciPost Phys.",
    volume="16",
    pages="037",
    doi="10.21468/SciPostPhys.16.1.037",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2021"
}

%September 20, 2021
@article{Li:2021cbp,
    author = "Li, Jinmian and Zhang, Cong and Zhang, Rao",
    title = "{Polarization measurement for the dileptonic channel of $W^+ W^-$ scattering using generative adversarial network}",
    eprint = "2109.09924",
      journal="Phys.Rev.D",
      volume="105",
      pages="016005",
      doi="10.1103/PhysRevD.105.016005",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2021"
}

%September 18, 2021
@inproceedings{Goncharov:2021wvd,
    author = "Goncharov, Pavel and Schavelev, Egor and Nikolskaya, Anastasia and Ososkov, Gennady",
    title = "{Ariadne: PyTorch Library for Particle Track Reconstruction Using Deep Learning}",
    booktitle = "{24th International Scientific Conference of Young Scientists and Specialists}",
    eprint = "2109.08982",
      journal="AIP Conf.Proc.",
      volume="2377",
      pages="040004",
      doi="10.1063/5.0063300",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "9",
    year = "2021"
}

%September 16, 2021
@article{Ghosh:2021hrh,
    author = "Ghosh, Aishik and Nachman, Benjamin",
    title = "{A Cautionary Tale of Decorrelating Theory Uncertainties}",
    eprint = "2109.08159",
      journal="Eur.Phys.J.C",
      volume="82",
      pages="46",
      doi="10.1140/epjc/s10052-022-10012-w",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2021"
}
@inproceedings{Micallef:2021src,
    author = "{IceCube Collaboration}",
    title = "{Using Convolutional Neural Networks to Reconstruct Energy of GeV Scale IceCube Neutrinos}",
    eprint = "2109.08152",
      journal="JINST",
      volume="16",
      pages="C09019",
      doi="10.1088/1748-0221/16/09/C09019",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.HE",
    month = "9",
    year = "2021"
}

%September 15, 2021
@article{Habashy:2021orz,
    author = "Habashy, D. M. and El-Bakry, Mahmoud Y. and Tawfik, Abdel Nasser and Rahman, R. M. Abdel and Hanafy, Mahmoud",
    title = "{Particles Multiplicity Based on Rapidity in Landau and Artificial Neural Network(ANN) Models}",
    eprint = "2109.07191",
      journal="Int.J.Mod.Phys.A",
      volume="37",
      pages="2250002",
      doi="10.1142/S0217751X22500026",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2021"
}
@article{Drees:2021oew,
    author = "Drees, Manuel and Shi, Meng and Zhang, Zhongyi",
    title = "{Machine Learning Optimized Search for the $Z'$ from $U(1)_{L_\mu-L_\tau}$ at the LHC}",
    eprint = "2109.07674",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2021"
}
@inproceedings{Lieberman:2021krq,
    author = "Lieberman, Benjamin and Choma, Joshua and Dahbi, Salah-Eddine and Mellado, Bruce and Ruan, Xifeng",
    title = "{An investigation of over-training within semi-supervised machine learning models in the search for heavy resonances at the LHC}",
    booktitle = "{65th Annual Conference of the South African Institute of Physics}",
    eprint = "2109.07287",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "ICPP-044",
    month = "9",
    year = "2021"
}
@article{Alda:2021rgt,
    author = "Alda, Jorge and Guasch, Jaume and Penaranda, Siannah",
    title = "{Using Machine Learning techniques in phenomenological studies in flavour physics}",
    eprint = "2109.07405",
      journal="JHEP",
      volume="07",
      pages="115",
      doi="10.1007/JHEP07(2022)115",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2021"
}

%September 14, 2021
@inproceedings{Dudko:2021cie,
    author = "Dudko, Lev and Volkov, Petr and Vorotnikov, Georgii and Zaborenko, Andrei",
    title = "{Application of Deep Learning Technique to an Analysis of Hard Scattering Processes at Colliders}",
    eprint = "2109.08520",
      journal="PoS",
      volume="DLCP2021",
      pages="012",
      doi="10.22323/1.410.0012",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "9",
    year = "2021"
}
@article{Yoon:2020zmb,
    author = "Yoon, Boram",
    title = "{A machine learning approach for efficient multi-dimensional integration}",
    eprint = "2009.06697",
    archivePrefix = "arXiv",
    primaryClass = "physics.comp-ph",
    reportNumber = "LA-UR-20-27161",
    doi = "10.1038/s41598-021-98392-z",
    journal = "Sci. Rep.",
    volume = "11",
    pages = "18965",
    year = "2021"
}

%September 13, 2021
@article{He:2021uko,
    author = "He, Junjie and He, Wan-Bing and Ma, Yu-Gang and Zhang, Song",
    title = "{Machine-learning-based identification for initial clustering structure in relativistic heavy-ion collisions}",
    eprint = "2109.06277",
      journal="Phys.Rev.C",
      volume="104",
      pages="044902",
      doi="10.1103/PhysRevC.104.044902",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2021"
}

%September 10, 2021
@article{Polson:2021kvr,
    author = "Polson, L. and Kurchaninov, L. and Lefebvre, M.",
    title = "{Energy reconstruction in a liquid argon calorimeter cell using convolutional neural networks}",
    eprint = "2109.05124",
      journal="JINST",
      volume="17",
      pages="P01002",
      doi="10.1088/1748-0221/17/01/P01002",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "9",
    year = "2021"
}
@article{Mu:2021nno,
    author = "Mu, Wei and Himmel, Alexander I. and Ramson, Bryan",
    title = "{Photon detection probability prediction using one-dimensional generative neural network}",
    eprint = "2109.07277",
      journal="Mach.Learn.Sci.Tech.",
      volume="3",
      pages="015033",
      doi="10.1088/2632-2153/ac58e2",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "9",
    year = "2021"
}

%September 9, 2021
@article{Khattak:2021ndw,
    author = "Khattak, Gul Rukh and Vallecorsa, Sofia and Carminati, Federico and Khan, Gul Muhammad",
    title = "{Fast Simulation of a High Granularity Calorimeter by Generative Adversarial Networks}",
    eprint = "2109.07388",
      journal="Eur.Phys.J.C",
      volume="82",
      pages="386",
      doi="10.1140/epjc/s10052-022-10258-4",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "9",
    year = "2021"
}

%September 7, 2021
@article{Jung:2021tym,
    author = "Jung, Sunghoon and Liu, Zhen and Wang, Lian-Tao and Xie, Ke-Pan",
    title = "{Probing Higgs exotic decay at the LHC with machine learning}",
    eprint = "2109.03294",
      journal="Phys.Rev.D",
      volume="105",
      pages="035008",
      doi="10.1103/PhysRevD.105.035008",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2021"
}

%September 6, 2021
@article{Ball:2021leu,
    author = "Ball, Richard D. and others",
    title = "{The Path to Proton Structure at One-Percent Accuracy}",
    eprint = "2109.02653",
      journal="Eur.Phys.J.C",
      volume="82",
      pages="428",
      doi="10.1140/epjc/s10052-022-10328-7",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2021"
}
@article{Ball:2021xlu,
    author = "Ball, Richard D. and others",
    title = "{An open-source machine learning framework for global analyses of parton distributions}",
    eprint = "2109.02671",
      journal="Eur.Phys.J.C",
      volume="81",
      pages="958",
      doi="10.1140/epjc/s10052-021-09747-9",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "Edinburgh 2021/13, Nikhef-2021-020, TIF-UNIMI-2021-12",
    month = "9",
    year = "2021"
}

%September 3, 2021
@article{Ostdiek:2021bem,
    author = "Ostdiek, Bryan",
    title = "{Deep Set Auto Encoders for Anomaly Detection in Particle Physics}",
    eprint = "2109.01695",
      journal="SciPost Phys.",
      volume="12",
      pages="045",
      doi="10.21468/SciPostPhys.12.1.045",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2021"
}

%September 1, 2021
@article{Hallin:2021wme,
    author = "Hallin, Anna and Isaacson, Joshua and Kasieczka, Gregor and Krause, Claudius and Nachman, Benjamin and Quadfasel, Tobias and Schlaffer, Matthias and Shih, David and Sommerhalder, Manuel",
    title = "{Classifying Anomalies THrough Outer Density Estimation (CATHODE)}",
    eprint = "2109.00546",
      journal="Phys.Rev.D",
      volume="106",
      pages="055006",
      doi="10.1103/PhysRevD.106.055006",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "EFI-20-5, FERMILAB-PUB-21-389-T",
    month = "9",
    year = "2021"
}
@article{SunnebornGudnadottir:2021nhk,
    author = "Sunneborn Gudnadottir, Olga and Gedon, Daniel and Desmarais, Colin and Bernander, Karl Bengtsson and Sainudiin, Raazesh and Suarez, Rebeca Gonzalez",
    title = "{Distributed training and scalability for the particle clustering method UCluster}",
    eprint = "2109.00264",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.1051/epjconf/202125102054",
    journal = "EPJ Web Conf.",
    volume = "251",
    pages = "02054",
    year = "2021"
}

%Aug 31, 2021
@article{McDonald:2021hus,
    author = "McDonald, J. I.",
    title = "{Scanning the landscape of axion dark matter detectors: applying gradient descent to experimental design}",
    eprint = "2108.13894",
      journal="Phys.Rev.D",
      volume="105",
      pages="083010",
      doi="10.1103/PhysRevD.105.083010",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2021"
}

%Aug 27, 2021
@article{H1:2021wkz,
    author = "{H1 Collaboration}",
    title = "{Measurement of lepton-jet correlation in deep-inelastic scattering with the H1 detector using machine learning for unfolding}",
    eprint = "2108.12376",
      journal="Phys.Rev.Lett.",
      volume="128",
      pages="132002",
      doi="10.1103/PhysRevLett.128.132002",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "DESY 21-130",
    month = "8",
    year = "2021"
}

%Aug 26, 2021
@article{Diefenthaler:2021rdj,
    author = "Diefenthaler, Markus and Farhat, Abduhhal and Verbytskyi, Andrii and Xu, Yuesheng",
    title = "{Deeply Learning Deep Inelastic Scattering Kinematics}",
    eprint = "2108.11638",
      journal="Eur.Phys.J.C",
      volume="82",
      pages="1064",
      doi="10.1140/epjc/s10052-022-10964-z",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MPP-2021-134, JLAB-PHY-21-3487",
    month = "8",
    year = "2021"
}

%Aug 25, 2021
@article{Menary:2021tjg,
    author = "Menary, Stephen B. and Price, Darren D.",
    title = "{Learning to discover: expressive Gaussian mixture models for multi-dimensional simulation and parameter inference in the physical sciences}",
    eprint = "2108.11481",
      journal="Mach.Learn.Sci.Tech.",
      volume="3",
      pages="015021",
      doi="10.1088/2632-2153/ac4a3b",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "8",
    year = "2021"
}

%Aug 24, 2021
@article{Akchurin:2021ahx,
    author = "Akchurin, N. and Cowden, C. and Damgov, J. and Hussain, A. and Kunori, S.",
    title = "{Perspectives on the Calibration of CNN Energy Reconstruction in Highly Granular Calorimeters}",
    eprint = "2108.10963",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "8",
    year = "2021"
}

%Aug 18, 2021
@article{Sabiu:2021aea,
    author = "Sabiu, Cristiano G. and Kadota, Kenji and Asorey, Jacobo and Park, Inkyu",
    title = "{Probing Ultra-light Axion Dark Matter from 21cm Tomography using Convolutional Neural Networks}",
    eprint = "2108.07972",
      journal="JCAP",
      volume="01",
      pages="020",
      doi="10.1088/1475-7516/2022/01/020",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.CO",
    month = "8",
    year = "2021"
}

%Aug 13, 2021
@article{Shokr:2021ouh,
    author = "Shokr, E. and De Roeck, A. and Mahmoud, M. A.",
    title = "{Modeling of charged-particle multiplicity and transverse-momentum distributions in pp collisions using a DNN}",
    eprint = "2108.06102",
      journal="Sci.Rep.",
      volume="12",
      pages="8449",
      doi="10.1038/s41598-022-11618-6",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "8",
    year = "2021"
}

%Aug 9, 2021
@article{Govorkova:2021utb,
    author = "Govorkova, Ekaterina and others",
    title = "{Autoencoders on FPGAs for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider}",
    eprint = "2108.03986",
      journal="Nature Mach.Intell.",
      volume="4",
      pages="154",
      doi="10.1038/s42256-022-00441-3",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "8",
    year = "2021"
}
@article{Dillon:2021gag,
    author = "Dillon, Barry M. and Kasieczka, Gregor and Olischlager, Hans and Plehn, Tilman and Sorrenson, Peter and Vogel, Lorenz",
    title = "{Symmetries, Safety, and Self-Supervision}",
    eprint = "2108.04253",
      journal="SciPost Phys.",
      volume="12",
      pages="188",
      doi="10.21468/SciPostPhys.12.6.188",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2021"
}
@article{Morais:2021ead,
    author = "Morais, Ant\'onio P. and Onofre, Ant\'onio and Freitas, Felipe F. and Gon\c{c}alves, Jo\~ao and Pasechnik, Roman and Santos, Rui",
    title = "{Deep Learning Searches for Vector-Like Leptons at the LHC and Electron/Muon Colliders}",
    eprint = "2108.03926",
      journal="Eur.Phys.J.C",
      volume="83",
      pages="232",
      doi="10.1140/epjc/s10052-023-11314-3",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2021"
}

%Aug 6, 2021
@inproceedings{Huth:2021zcm,
    author = "Huth, Benjamin and Salzburger, Andreas and Wettig, Tilo",
    title = "{Machine learning for surface prediction in ACTS}",
    booktitle = "{25th International Conference on Computing in High-Energy and Nuclear Physics}",
    eprint = "2108.03068",
      journal="EPJ Web Conf.",
      volume="251",
      pages="03053",
      doi="10.1051/epjconf/202125103053",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "8",
    year = "2021"
}
@article{Alvestad:2021sje,
    author = {Alvestad, Daniel and Fomin, Nikolai and Kersten, J\"orn and Maeland, Steffen and Str\"umke, Inga},
    title = "{Beyond Cuts in Small Signal Scenarios - Enhanced Sneutrino Detectability Using Machine Learning}",
    eprint = "2108.03125",
      journal="Eur.Phys.J.C",
      volume="83",
      pages="379",
      doi="10.1140/epjc/s10052-023-11532-9",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2021"
}

%Aug 4, 2021
@article{Chen:2021euv,
    author = "Chen, Yifan and others",
    title = "{A FAIR and AI-ready Higgs Boson Decay Dataset}",
    eprint = "2108.02214",
      doi="10.1038/s41597-021-01109-0",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "8",
    year = "2021"
}

%July 28, 2021
@article{Garcia-Mendez:2021vts,
    author = "Garc\'\i{}a-M\'endez, J. and Gei\ss{}elbrecht, N. and Eberl, T. and Ardid, M. and Ardid, S.",
    title = "{Deep learning reconstruction in ANTARES}",
    eprint = "2107.13654",
      journal="JINST",
      volume="16",
      pages="C09018",
      doi="10.1088/1748-0221/16/09/C09018",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.IM",
    month = "7",
    year = "2021"
}
@article{Yang:2021gge,
    author = "Yang, Ji-Chong and Chen, Jin-Hua and Guo, Yu-Chen",
    title = "{Extract the energy scale of anomalous $\gamma\gamma \to W^+W^-$ scattering in the vector boson scattering process using artificial neural networks}",
    eprint = "2107.13624",
      journal="JHEP",
      volume="09",
      pages="085",
      doi="10.1007/JHEP09(2021)085",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2021"
}

%July 26, 2021
@article{Barron:2021btf,
    author = "Barron, Jared and Curtin, David and Kasieczka, Gregor and Plehn, Tilman and Spourdalakis, Aris",
    title = "{Unsupervised Hadronic SUEP at the LHC}",
    eprint = "2107.12379",
      journal="JHEP",
      volume="12",
      pages="129",
      doi="10.1007/JHEP12(2021)129",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2021"
}
@article{Kahlhoefer:2021sha,
    author = {Kahlhoefer, Felix and Korsmeier, Michael and Kr\"amer, Michael and Manconi, Silvia and Nippel, Kathrin},
    title = "{Constraining dark matter annihilation with cosmic ray antiprotons using neural networks}",
    eprint = "2107.12395",
      journal="JCAP",
      volume="12",
      pages="037",
      doi="10.1088/1475-7516/2021/12/037",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.HE",
    reportNumber = "TTK-21-28",
    month = "7",
    year = "2021"
}

%July 25, 2021
@article{Huang:2021iux,
    author = "Huang, Yi-Ge and Pang, Long-Gang and Luo, Xiaofeng and Wang, Xin-Nian",
    title = "{Probing criticality with deep learning in relativistic heavy-ion collisions}",
    eprint = "2107.11828",
      journal="Phys.Lett.B",
      volume="827",
      pages="137001",
      doi="10.1016/j.physletb.2022.137001",
    archivePrefix = "arXiv",
    primaryClass = "nucl-th",
    month = "7",
    year = "2021"
}

%July 24, 2021
@article{Volkovich:2021txe,
    author = "Volkovich, Sergey and Halevy, Federico De Vito and Bressler, Shikma",
    title = "{The Data-Directed Paradigm for BSM searches}",
    eprint = "2107.11573",
      journal="Eur.Phys.J.C",
      volume="82",
      pages="265",
      doi="10.1140/epjc/s10052-022-10215-1",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "7",
    year = "2021"
}

%July 22, 2021
@article{Chatterjee:2021nms,
    author = {Chatterjee, Suman and Frohner, Nikolaus and Lechner, Lukas and Sch\"ofbeck, Robert and Schwarz, Dennis},
    title = "{Tree boosting for learning EFT parameters}",
    eprint = "2107.10859",
      journal="Comput.Phys.Commun.",
      volume="277",
      pages="108385",
      doi="10.1016/j.cpc.2022.108385",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2021"
}

%July 21, 2021
@article{Akchurin:2021afn,
    author = "Akchurin, N. and Cowden, C. and Damgov, J. and Hussain, A. and Kunori, S.",
    title = "{On the Use of Neural Networks for Energy Reconstruction in High-granularity Calorimeters}",
    eprint = "2107.10207",
      journal="JINST",
      volume="16",
      pages="P12036",
      doi="10.1088/1748-0221/16/12/P12036",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "APDL-2021-001",
    month = "7",
    year = "2021"
}

%July 19, 2021
@article{Nachman:2021opi,
    author = "Nachman, Benjamin and Thaler, Jesse",
    title = "{Neural Conditional Reweighting}",
    eprint = "2107.08979",
      journal="Phys.Rev.D",
      volume="105",
      pages="076015",
      doi="10.1103/PhysRevD.105.076015",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    reportNumber = "MIT-CTP 5315",
    month = "7",
    year = "2021"
}
@article{Pollard:2021fqv,
    author = "Pollard, Chris and Windischhofer, Philipp",
    title = "{Transport away your problems: Calibrating stochastic simulations with optimal transport}",
    eprint = "2107.08648",
      journal="Nucl.Instrum.Meth.A",
      volume="1027",
      pages="166119",
      doi="10.1016/j.nima.2021.166119",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "7",
    year = "2021"
}
@article{List:2021aer,
    author = "List, Florian and Rodd, Nicholas L. and Lewis, Geraint F.",
    title = "{Dim but not entirely dark: Extracting the Galactic Center Excess' source-count distribution with neural nets}",
    eprint = "2107.09070",
      journal="Phys.Rev.D",
      volume="104",
      pages="123022",
      doi="10.1103/PhysRevD.104.123022",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.HE",
    month = "7",
    year = "2021"
}

%July 16, 2021
@article{Lavrik:2021zgt,
    author = "Lavrik, E. and Shiroya, M. and Schmidt, H. R. and Toia, A. and Heuser, J. M.",
    title = "{Optical Inspection of the Silicon Micro-strip Sensors for the CBM Experiment employing Artificial Intelligence}",
    eprint = "2107.07714",
      journal="Nucl.Instrum.Meth.A",
      volume="1021",
      pages="165932",
      doi="10.1016/j.nima.2021.165932",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "7",
    year = "2021"
}

%July 14, 2021
@article{Maitre:2021uaa,
    author = "Ma\^\i{}tre, Daniel and Truong, Henry",
    title = "{A factorisation-aware Matrix element emulator}",
    eprint = "2107.06625",
      journal="JHEP",
      volume="11",
      pages="066",
      doi="10.1007/JHEP11(2021)066",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IPPP/21/11",
    month = "7",
    year = "2021"
}

%July 12, 2021
@article{Kuttan:2021npg,
    author = "Kuttan, Manjunath Omana and Zhou, Kai and Steinheimer, Jan and Redelbach, Andreas and Stoecker, Horst",
    title = "{An equation-of-state-meter for CBM using PointNet}",
    eprint = "2107.05590",
      journal="JHEP",
      volume="10",
      pages="184",
      doi="10.1007/JHEP10(2021)184",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2021"
}

%July 6, 2021
@article{Maier:2021ymx,
    author = "Maier, Benedikt and Narayanan, Siddharth M. and de Castro, Gianfranco and Goncharov, Maxim and Paus, Christoph and Schott, Matthias",
    title = "{Pile-Up Mitigation using Attention}",
    eprint = "2107.02779",
      journal="Mach.Learn.Sci.Tech.",
      volume="3",
      pages="025012",
      doi="10.1088/2632-2153/ac7198",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "7",
    year = "2021"
}
@inproceedings{Kasieczka:2021tew,
    author = "Kasieczka, Gregor and Nachman, Benjamin and Shih, David",
    title = "{New Methods and Datasets for Group Anomaly Detection From Fundamental Physics}",
    eprint = "2107.02821",
    archivePrefix = "arXiv",
    primaryClass = "stat.ML",
    month = "7",
    year = "2021"
}

%July 5, 2021
@article{Kieseler:2021jxc,
    author = "Kieseler, Jan and Strong, Giles C. and Chiandotto, Filippo and Dorigo, Tommaso and Layer, Lukas",
    title = "{Calorimetric Measurement of Multi-TeV Muons via Deep Regression}",
    eprint = "2107.02119",
      journal="Eur.Phys.J.C",
      volume="82",
      pages="79",
      doi="10.1140/epjc/s10052-022-09993-5",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "7",
    year = "2021"
}
@article{Govorkova:2021hqu,
    author = "Govorkova, Ekaterina and Puljak, Ema and Aarrestad, Thea and Pierini, Maurizio and Wo\'zniak, Kinga Anna and Ngadiuba, Jennifer",
    title = "{LHC physics dataset for unsupervised New Physics detection at 40 MHz}",
    eprint = "2107.02157",
      journal="Sci. Data",
      volume="9",
      pages="118",
      doi="10.1038/s41597-022-01187-8",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "7",
    year = "2021"
}
@inproceedings{Shimmin:2021pkm,
    author = "Shimmin, Chase",
    title = "{Particle Convolution for High Energy Physics}",
    eprint = "2107.02908",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2021"
}

%July 1, 2021
@article{Benato:2021olt,
    author = "Benato, Lisa and others",
    title = "{Shared Data and Algorithms for Deep Learning in Fundamental Physics}",
    eprint = "2107.00656",
      journal="Comput.Softw.Big Sci.",
      volume="6",
      pages="9",
      doi="10.1007/s41781-022-00082-6",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "7",
    year = "2021"
}
@article{Hackett:2021idh,
    author = "Hackett, Daniel C. and Hsieh, Chung-Chun and Albergo, Michael S. and Boyda, Denis and Chen, Jiunn-Wei and Chen, Kai-Feng and Cranmer, Kyle and Kanwar, Gurtej and Shanahan, Phiala E.",
    title = "{Flow-based sampling for multimodal distributions in lattice field theory}",
    eprint = "2107.00734",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    reportNumber = "MIT-CTP/5312",
    month = "7",
    year = "2021"
}

%June 22, 2021
@article{Kansal:2021cqp,
    author = "Kansal, Raghav and Duarte, Javier and Su, Hao and Orzari, Breno and Tomei, Thiago and Pierini, Maurizio and Touranakou, Mary and Vlimant, Jean-Roch and Gunopulos, Dimitrios",
    title = "{Particle Cloud Generation with Message Passing Generative Adversarial Networks}",
    eprint = "2106.11535",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "6",
    year = "2021"
}
@article{Golovatiuk:2021lqn,
    author = "Golovatiuk, Artem and Ustyuzhanin, Andrey and Alexandrov, Andrey and De Lellis, Giovanni",
    title = "{Deep Learning for direct Dark Matter search with nuclear emulsions}",
    eprint = "2106.11995",
      journal="Comput.Phys.Commun.",
      volume="275",
      pages="108312",
      doi="10.1016/j.cpc.2022.108312",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "6",
    year = "2021"
}

%June 21, 2021
@article{Du:2021pqa,
    author = "Du, Yi-Lun and Pablos, Daniel and Tywoniuk, Konrad",
    title = "{Jet tomography in heavy ion collisions with deep learning}",
    eprint = "2106.11271",
      journal="Phys.Rev.Lett.",
      volume="128",
      pages="012301",
      doi="10.1103/PhysRevLett.128.012301",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2021"
}

%June 18, 2021
@article{Caron:2021wmq,
    author = "Caron, Sascha and Hendriks, Luc and Verheyen, Rob",
    title = "{Rare and Different: Anomaly Scores from a combination of likelihood and out-of-distribution models to detect new physics at the LHC}",
    eprint = "2106.10164",
      journal="SciPost Phys.",
      volume="12",
      pages="077",
      doi="10.21468/SciPostPhys.12.2.077",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2021"
}

%June 17, 2021
@article{Aylett-Bullock:2021hmo,
    author = "Aylett-Bullock, Joseph and Badger, Simon and Moodie, Ryan",
    title = "{Optimising simulations for diphoton production at hadron colliders using amplitude neural networks}",
    eprint = "2106.09474",
      journal="JHEP",
      volume="08",
      pages="066",
      doi="10.1007/JHEP08(2021)066",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2021"
}

%June 16, 2021
@article{Apolinario:2021olp,
    author = "Apolin\'ario, L. and Castro, N. F. and Crispim Rom\~ao, M. and Milhano, J. G. and Pedro, R. and Peres, F. C. R.",
    title = "{Deep Learning for the Classification of Quenched Jets}",
    eprint = "2106.08869",
      journal="JHEP",
      volume="11",
      pages="219",
      doi="10.1007/JHEP11(2021)219",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2021"
}

%June 15, 2021
@article{Zhou:2021bvw,
    author = "Zhou, Meng and Gao, Fei and Chao, Jingyi and Liu, Yu-Xin and Song, Huichao",
    title = "{Application of radial basis functions neutral networks in spectral functions}",
    eprint = "2106.08168",
      journal="Phys.Rev.D",
      volume="104",
      pages="076011",
      doi="10.1103/PhysRevD.104.076011",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2021"
}
@article{Araz:2021ifk,
    author = "Araz, Jack Y. and Spannowsky, Michael",
    title = "{Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States}",
    eprint = "2106.08334",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IPPP/20/114",
    doi = "10.1007/JHEP08(2021)112",
    journal = "JHEP",
    volume = "08",
    pages = "112",
    year = "2021"
 }

%June 13, 2021
@article{Ren:2021prq,
    author = "Ren, Jie and Wang, Daohan and Wu, Lei and Yang, Jin Min and Zhang, Mengchao",
    title = "{Detecting an axion-like particle with machine learning at the LHC}",
    eprint = "2106.07018",
      journal="JHEP",
      volume="11",
      pages="138",
      doi="10.1007/JHEP11(2021)138",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2021"
}

%June 12, 2021
@inproceedings{Vago:2021grx,
    author = "Vago, Nicol\`o Oreste Pinciroli and Hameed, Ibrahim A. and Kachelriess, Michael",
    title = "{Using Convolutional Neural Networks for the Helicity Classification of Magnetic Fields}",
    booktitle = "{37th International Cosmic Ray Conference}",
    eprint = "2106.06718",
      journal="PoS",
      volume="ICRC2021",
      pages="906",
      doi="10.22323/1.395.0906",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.HE",
    month = "6",
    year = "2021"
}
@article{Jorge:2021vpo,
    author = "Jorge, Fraga and Ronald, Rodriguez and Jesus, Solano and Juan, Molano and Carlos, Avila",
    title = "{Top squark signal significance enhancement by different Machine Learning Algorithms}",
    eprint = "2106.06813",
      journal="Int.J.Mod.Phys.A",
      volume="37",
      pages="2250197",
      doi="10.1142/S0217751X22501974",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2021"
}

%June 11, 2021
@article{Brown:2021upr,
    author = "Brown, S. and Niculescu, G. and Niculescu, I.",
    title = "{inclusiveAI: A machine learning representation of the $F_2$ structure function over all charted $Q^2$ and $x$ range}",
    eprint = "2106.06390",
      journal="Phys.Rev.C",
      volume="104",
      pages="064321",
      doi="10.1103/PhysRevC.104.064321",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2021"
}

%June 10, 2021
@article{Dorigo:2021iyy,
    author = "Dorigo, Tommaso and Fumanelli, Martina and Maccani, Chiara and Mojsovska, Marija and Strong, Giles C. and Scarpa, Bruno",
    title = "{RanBox: Anomaly Detection in the Copula Space}",
    eprint = "2106.05747",
      journal="JHEP",
      volume="01",
      pages="008",
      doi="10.1007/JHEP01(2023)008",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "6",
    year = "2021"
}

%June 9, 2021
@article{Krause:2021ilc,
    author = "Krause, Claudius and Shih, David",
    title = "{CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows}",
    eprint = "2106.05285",
      journal="Phys.Rev.D",
      volume="107",
      pages="113003",
      doi="10.1103/PhysRevD.107.113003",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "6",
    year = "2021"
}

%June 7, 2021
@article{Shmakov:2021qdz,
    author = "Shmakov, Alexander and Fenton, Michael James and Ho, Ta-Wei and Hsu, Shih-Chieh and Whiteson, Daniel and Baldi, Pierre",
    title = "{SPANet: Generalized Permutationless Set Assignment for Particle Physics using Symmetry Preserving Attention}",
    eprint = "2106.03898",
      journal="SciPost Phys.",
      volume="12",
      pages="178",
      doi="10.21468/SciPostPhys.12.5.178",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "6",
    year = "2021"
}
@inproceedings{Sombillo:2021ifs,
    author = "Sombillo, Denny Lane B. and Ikeda, Yoichi and Sato, Toru and Hosaka, Atsushi",
    title = "{Classifying near-threshold enhancement using deep neural network}",
    booktitle = "{8th Asia-Pacific conference on Few-Body problems in Physics}: {Yamada Conference LXXII}",
    eprint = "2106.03453",
      journal="Few Body Syst.",
      volume="62",
      pages="52",
      doi="10.1007/s00601-021-01642-z",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2021"
}

%June 5, 2021
@inproceedings{Gavrikov:2021ktt,
    author = "Gavrikov, Arsenii and Ratnikov, Fedor",
    title = "{The use of Boosted Decision Trees for Energy Reconstruction in JUNO experiment}",
    booktitle = "{25th International Conference on Computing in High-Energy and Nuclear Physics}",
    eprint = "2106.02907",
      journal="EPJ Web Conf.",
      volume="251",
      pages="03014",
      doi="10.1051/epjconf/202125103014",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "6",
    year = "2021"
}

%June 4, 2021
@article{Saito:2021vpp,
    author = "Saito, Masahiko and Kishimoto, Tomoe and Kaneta, Yuya and Itoh, Taichi and Umeda, Yoshiaki and Tanaka, Junichi and Iiyama, Yutaro and Sawada, Ryu and Terashi, Koji",
    title = "{Event Classification with Multi-step Machine Learning}",
    eprint = "2106.02301",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    doi = "10.1051/epjconf/202125103036",
    journal = "EPJ Web Conf.",
    volume = "251",
    pages = "03036",
    year = "2021"
}

%June 1, 2021
@article{Alanazi:2021grv,
    author = "Alanazi, Yasir and Sato, N. and Ambrozewicz, Pawel and Blin, Astrid N. Hiller and Melnitchouk, W. and Battaglieri, Marco and Liu, Tianbo and Li, Yaohang",
    title = "{A survey of machine learning-based physics event generation}",
    eprint = "2106.00643",
      doi="10.24963/ijcai.2021/588",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "JLAB-THY-21-3385",
    month = "6",
    year = "2021"
}
@article{Aizpuru:2021vhd,
    author = "Aizpuru, Andoni and Arjona, Rub\'en and Nesseris, Savvas",
    title = "{Machine Learning improved fits of the sound horizon at the baryon drag epoch}",
    eprint = "2106.00428",
      journal="Phys.Rev.D",
      volume="104",
      pages="043521",
      doi="10.1103/PhysRevD.104.043521",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.CO",
    reportNumber = "IFT-UAM/CSIC-21-67",
    month = "6",
    year = "2021"
}
@article{Winterhalder:2021ave,
    author = "Winterhalder, Ramon and Bellagente, Marco and Nachman, Benjamin",
    title = "{Latent Space Refinement for Deep Generative Models}",
    eprint = "2106.00792",
    archivePrefix = "arXiv",
    primaryClass = "stat.ML",
    month = "6",
    year = "2021"
}

%May 31, 2021
@article{Lebese:2021foi,
    author = "Lebese, Thabang and Mellado, Bruce and Ruan, Xifeng",
    title = "{The use of Generative Adversarial Networks to characterise new physics in multi-lepton final states at the LHC}",
    eprint = "2105.14933",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2021"
}

%May 28, 2021
@article{Zhao:2021yjo,
    author = "Zhao, Yuan-Sheng and Wang, Lingxiao and Zhou, Kai and Huang, Xu-Guang",
    title = "{Detecting Chiral Magnetic Effect via Deep Learning}",
    eprint = "2105.13761",
      journal="Phys.Rev.C",
      volume="106",
      pages="L051901",
      doi="10.1103/PhysRevC.106.L051901",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2021"
}
@article{Aarrestad:2021oeb,
    author = "Aarrestad, T. and others",
    title = "{The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider}",
    eprint = "2105.14027",
      journal="SciPost Phys.",
      volume="12",
      pages="043",
      doi="10.21468/SciPostPhys.12.1.043",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2021"
}
@article{Edmonds:2021lzd,
    author = "Edmonds, Andrew and Brown, David and Vinas, Luciano and Pagan, Samantha",
    title = "{Using Machine Learning to Select High-Quality Measurements}",
    eprint = "2106.08891",
      journal="JINST",
      volume="16",
      pages="T08010",
      doi="10.1088/1748-0221/16/08/T08010",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "5",
    year = "2021"
}

%May 26, 2021
@article{Nagu:2021zho,
    author = "Nagu, Srishti and Singh, Jaydip and Singh, Jyotsna and Singh, R. B.",
    title = "{Constraining nuclear effects in Argon using machine learning algorithms}",
    eprint = "2105.12733",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2021"
}

%May 25, 2021
@article{Arganda:2021azw,
    author = "Arganda, Ernesto and Medina, Anibal D. and Perez, Andres D. and Szynkman, Alejandro",
    title = "{Towards a method to anticipate dark matter signals with deep learning at the LHC}",
    eprint = "2105.12018",
      journal="SciPost Phys.",
      volume="12",
      pages="063",
      doi="10.21468/SciPostPhys.12.2.063",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2021"
}

%May 21, 2021
@article{Kim:2021pcz,
    author = "Kim, Doojin and Kong, Kyoungchul and Matchev, Konstantin T. and Park, Myeonghun and Shyamsundar, Prasanth",
    title = "{Deep-Learned Event Variables for Collider Phenomenology}",
    eprint = "2105.10126",
      journal="Phys.Rev.D",
      volume="107",
      pages="L031904",
      doi="10.1103/PhysRevD.107.L031904",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "FERMILAB-PUB-21-244-QIS, MI-TH-2111",
    month = "5",
    year = "2021"
}
@article{Cranmer:2021gdt,
    author = "Cranmer, Kyle and Drnevich, Matthew and Macaluso, Sebastian and Pappadopulo, Duccio",
    title = "{Reframing Jet Physics with New Computational Methods}",
    eprint = "2105.10512",
      journal="EPJ Web Conf.",
      volume="251",
      pages="03059",
      doi="10.1051/epjconf/202125103059",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2021"
}

%May 20, 2021
@article{Komiske:2021vym,
    author = "Komiske, Patrick and McCormack, W. Patrick and Nachman, Benjamin",
    title = "{Preserving New Physics while Simultaneously Unfolding All Observables}",
    eprint = "2105.09923",
      journal="Phys.Rev.D",
      volume="104",
      pages="076027",
      doi="10.1103/PhysRevD.104.076027",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MIT-CTP 5305",
    month = "5",
    year = "2021"
}

%May 19, 2021
@article{Kahn:2021drv,
    author = "Kahn, Alan and Gonski, Julia and Ochoa, In\^es and Williams, Daniel and Brooijmans, Gustaaf",
    title = "{Anomalous Jet Identification via Sequence Modeling}",
    eprint = "2105.09274",
      journal="JINST",
      volume="16",
      pages="P08012",
      doi="10.1088/1748-0221/16/08/P08012",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2021"
}
@inproceedings{Rehm:2021qwm,
    author = {Rehm, Florian and Vallecorsa, Sofia and Borras, Kerstin and Kr\"ucker, Dirk},
    title = "{Physics Validation of Novel Convolutional 2D Architectures for Speeding Up High Energy Physics Simulations}",
    eprint = "2105.08960",
      journal="EPJ Web Conf.",
      volume="251",
      pages="03042",
      doi="10.1051/epjconf/202125103042",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "5",
    year = "2021"
}

%May 18, 2021
@article{Ghosh:2021roe,
    author = "Ghosh, Aishik and Nachman, Benjamin and Whiteson, Daniel",
    title = "{Uncertainty Aware Learning for High Energy Physics}",
    eprint = "2105.08742",
      journal="Phys.Rev.D",
      volume="104",
      pages="056026",
      doi="10.1103/PhysRevD.104.056026",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "5",
    year = "2021"
}

%May 17, 2021
@article{Shi:2021qri,
    author = "Shi, Shuzhe and Zhou, Kai and Zhao, Jiaxing and Mukherjee, Swagato and Zhuang, Pengfei",
    title = "{Heavy Quark Potential in QGP: DNN meets LQCD}",
    eprint = "2105.07862",
      journal="Phys.Rev.D",
      volume="105",
      pages="014017",
      doi="10.1103/PhysRevD.105.014017",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2021"
}
@article{Atkinson:2021nlt,
    author = "Atkinson, Oliver and Bhardwaj, Akanksha and Englert, Christoph and Ngairangbam, Vishal S. and Spannowsky, Michael",
    title = "{Anomaly detection with Convolutional Graph Neural Networks}",
    eprint = "2105.07988",
      journal="JHEP",
      volume="08",
      pages="080",
      doi="10.1007/JHEP08(2021)080",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IPPP/20/102",
    month = "5",
    year = "2021"
}

%May 16, 2021
@article{Stakia:2021pvp,
    author = "Stakia, Anna and others",
    title = "{Advanced Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider}",
    eprint = "2105.07530",
      journal="Rev.Phys.",
      volume="7",
      pages="100063",
      doi="10.1016/j.revip.2021.100063",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "5",
    year = "2021"
}

%May 12, 2021
@article{Pol:2021iqw,
    author = "Pol, Adrian Alan and others",
    title = "{Jet Single Shot Detection}",
    eprint = "2105.05785",
      journal="EPJ Web Conf.",
      volume="251",
      pages="04027",
      doi="10.1051/epjconf/202125104027",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "5",
    year = "2021"
}

%May 11, 2021
@article{Sombillo:2021rxv,
    author = "Sombillo, Denny Lane B. and Ikeda, Yoichi and Sato, Toru and Hosaka, Atsushi",
    title = "{Model independent analysis of coupled-channel scattering: a deep learning approach}",
    eprint = "2105.04898",
      journal="Phys.Rev.D",
      volume="104",
      pages="036001",
      doi="10.1103/PhysRevD.104.036001",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2021"
}

%May 10, 2021
@article{Andreassen:2021zzk,
    author = "Andreassen, Anders and Komiske, Patrick T. and Metodiev, Eric M. and Nachman, Benjamin and Suresh, Adi and Thaler, Jesse",
    title = "{Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution}",
    eprint = "2105.04448",
    archivePrefix = "arXiv",
    primaryClass = "stat.ML",
    month = "5",
    year = "2021"
}
@article{Migliorini:2021fuj,
    author = "Migliorini, Matteo and Pazzini, Jacopo and Triossi, Andrea and Zanetti, Marco and Zucchetta, Alberto",
    title = "{Muon trigger with fast Neural Networks on FPGA, a demonstrator}",
    eprint = "2105.04428",
      journal="J.Phys.Conf.Ser.",
      volume="2374",
      pages="012099",
      doi="10.1088/1742-6596/2374/1/012099",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "5",
    year = "2021"
}
@article{Filipek:2021qbe,
    author = "Filipek, Jakub and Hsu, Shih-Chieh and Kruper, John and Mohan, Kirtimaan and Nachman, Benjamin",
    title = "{Identifying the Quantum Properties of Hadronic Resonances using Machine Learning}",
    eprint = "2105.04582",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MSUHEP-21-009",
    month = "5",
    year = "2021"
}

%May 9, 2021
@article{Khosa:2021cyk,
    author = "Khosa, Charanjit K. and Marzani, Simone",
    title = "{Higgs tagging with the Lund jet plane}",
    eprint = "2105.03989",
      journal="Phys.Rev.D",
      volume="104",
      pages="055043",
      doi="10.1103/PhysRevD.104.055043",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2021"
}

%May 6, 2021
@article{Ikeda:2021sxm,
    author = "Ikeda, Tomonori and Tanimori, Toru and Takada, Atsushi and Mizumura, Yoshitaka and Yoshikawa, Kei and Abe, Mitsuru and Ogio, Shingo and Yoshida, Yura and Tsuda, Masaya and Sonoda, Shinya",
    title = "{Development of Convolutional Neural Networks for an Electron-Tracking Compton Camera}",
    eprint = "2105.02512",
      journal="PTEP",
      volume="2021",
      pages="083F01",
      doi="10.1093/ptep/ptab091",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "5",
    year = "2021"
}

%May 4, 2021
@article{DiGuglielmo:2021ide,
    author = "Di Guglielmo, Giuseppe and others",
    title = "{A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC}",
    eprint = "2105.01683",
      journal="IEEE Trans.Nucl.Sci.",
      volume="68",
      pages="2179",
      doi="10.1109/TNS.2021.3087100",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "FERMILAB-PUB-21-217-CMS-E-SCD",
    month = "5",
    year = "2021"
}

%May 3, 2021
@article{Amrouche:2021tio,
    author = "Amrouche, Sabrina and others",
    title = "{The Tracking Machine Learning challenge : Throughput phase}",
    eprint = "2105.01160",
      journal="Comput.Softw.Big Sci.",
      volume="7",
      pages="1",
      doi="10.1007/s41781-023-00094-w",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "5",
    year = "2021"
}

%April 29, 2021
@article{Sombillo:2021yxe,
    author = "Sombillo, Denny Lane B. and Ikeda, Yoichi and Sato, Toru and Hosaka, Atsushi",
    title = "{Unveiling the pole structure of S-matrix using deep learning}",
    eprint = "2104.14182",
      journal="Rev.Mex.Fis.Suppl.",
      volume="3",
      pages="0308067",
      doi="10.31349/SuplRevMexFis.3.0308067",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2021"
}

%April 27, 2021
@article{Maksimovic:2021dmz,
    author = "Maksimovi\'c, D. and Nieslony, M. and Wurm, M.",
    title = "{CNNs for enhanced background discrimination in DSNB searches in large-scale water-Gd detectors}",
    eprint = "2104.13426",
      journal="JCAP",
      volume="11",
      pages="051",
      doi="10.1088/1475-7516/2021/11/051",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "4",
    year = "2021"
}

%April 26, 2021
@article{Shih:2021kbt,
    author = "Shih, David and Buckley, Matthew R. and Necib, Lina and Tamanas, John",
    title = "{Via Machinae: Searching for Stellar Streams using Unsupervised Machine Learning}",
    eprint = "2104.12789",
      journal="Mon.Not.Roy.Astron.Soc.",
      volume="509",
      pages="5992",
      doi="10.1093/mnras/stab3372",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.GA",
    month = "4",
    year = "2021"
}
@article{Haddadin:2021mmo,
    author = "Haddadin, Ward",
    title = "{Invariant polynomials and machine learning}",
    eprint = "2104.12733",
      doi="10.17863/CAM.80156",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2021"
}

%April 19, 2021
@article{Finke:2021sdf,
    author = {Finke, Thorben and Kr\"amer, Michael and Morandini, Alessandro and M\"uck, Alexander and Oleksiyuk, Ivan},
    title = "{Autoencoders for unsupervised anomaly detection in high energy physics}",
    eprint = "2104.09051",
      journal="JHEP",
      volume="06",
      pages="161",
      doi="10.1007/JHEP06(2021)161",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    reportNumber = "TTK-21-12",
    month = "4",
    year = "2021"
}
@article{Andrews:2021ejw,
    author = "Andrews, Michael and others",
    title = "{End-to-End Jet Classification of Boosted Top Quarks with the CMS Open Data}",
    eprint = "2104.14659",
      journal="EPJ Web Conf.",
      volume="251",
      pages="04030",
      doi="10.1051/epjconf/202125104030",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "4",
    year = "2021"
}

%April 16, 2021
@article{Dillon:2021nxw,
    author = "Dillon, Barry M. and Plehn, Tilman and Sauer, Christof and Sorrenson, Peter",
    title = "{Better Latent Spaces for Better Autoencoders}",
    eprint = "2104.08291",
      journal="SciPost Phys.",
      volume="11",
      pages="061",
      doi="10.21468/SciPostPhys.11.3.061",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2021"
}

%April 15, 2021
@inproceedings{Belis:2021zqi,
    author = {Belis, Vasilis and Gonz\'alez-Castillo, Samuel and Reissel, Christina and Vallecorsa, Sofia and Combarro, El\'\i{}as F. and Dissertori, G\"unther and Reiter, Florentin},
    title = "{Higgs analysis with quantum classifiers}",
    booktitle = "{25th International Conference on Computing in High-Energy and Nuclear Physics}",
    eprint = "2104.07692",
      journal="EPJ Web Conf.",
      volume="251",
      pages="03070",
      doi="10.1051/epjconf/202125103070",
    archivePrefix = "arXiv",
    primaryClass = "quant-ph",
    month = "4",
    year = "2021"
}

%April 14, 2021
@inproceedings{Mahesh:2021iph,
    author = "Mahesh, Chinmaya and Dona, Kristin and Miller, David W. and Chen, Yuxin",
    title = "{Towards an Interpretable Data-driven Trigger System for High-throughput Physics Facilities}",
    booktitle = "{34th Conference on Neural Information Processing Systems}",
    eprint = "2104.06622",
    archivePrefix = "arXiv",
    primaryClass = "cs.AI",
    month = "4",
    year = "2021"
}

%April 11, 2021
@article{Wu:2021xsj,
    author = "Wu, Sau Lan and others",
    title = "{Application of Quantum Machine Learning using the Quantum Kernel Algorithm on High Energy Physics Analysis at the LHC}",
    eprint = "2104.05059",
      journal="Phys.Rev.Res.",
      volume="3",
      pages="033221",
      doi="10.1103/PhysRevResearch.3.033221",
    archivePrefix = "arXiv",
    primaryClass = "quant-ph",
    month = "4",
    year = "2021"
}

%April 9, 2021
@article{Carrazza:2021hny,
    author = "Carrazza, Stefano and Cruz-Martinez, Juan and Rabemananjara, Tanjona R.",
    title = "{Compressing PDF sets using generative adversarial networks}",
    eprint = "2104.04535",
      journal="Eur.Phys.J.C",
      volume="81",
      pages="530",
      doi="10.1140/epjc/s10052-021-09338-8",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2021"
}
@article{Bellagente:2021yyh,
    author = "Bellagente, Marco and Hau\ss{}mann, Manuel and Luchmann, Michel and Plehn, Tilman",
    title = "{Understanding Event-Generation Networks via Uncertainties}",
    eprint = "2104.04543",
      journal="SciPost Phys.",
      volume="13",
      pages="003",
      doi="10.21468/SciPostPhys.13.1.003",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2021"
}

%April 7, 2021
@article{Hong:2021snb,
    author = "Hong, T. M. and Carlson, B. T. and Eubanks, B. R. and Racz, S. T. and Roche, S. T. and Stelzer, J. and Stumpp, D. C.",
    title = "{Nanosecond machine learning event classification with boosted decision trees in FPGA for high energy physics}",
    eprint = "2104.03408",
      journal="JINST",
      volume="16",
      pages="P08016",
      doi="10.1088/1748-0221/16/08/P08016",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "PITT-PACC-2103",
    month = "4",
    year = "2021"
}
@article{Baron:2021vvl,
    author = "Baro\v{n}, Petr",
    title = "{Comparison of Machine Learning Approach to other Unfolding Methods}",
    eprint = "2104.03036",
      journal="Acta Phys.Polon.B",
      volume="52",
      pages="863",
      doi="10.5506/APhysPolB.52.863",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "4",
    year = "2021"
}

%April 5, 2021
@article{Collins:2021nxn,
    author = "Collins, Jack H. and Mart\'\i{}n-Ramiro, Pablo and Nachman, Benjamin and Shih, David",
    title = "{Comparing Weak- and Unsupervised Methods for Resonant Anomaly Detection}",
    eprint = "2104.02092",
      journal="Eur.Phys.J.C",
      volume="81",
      pages="617",
      doi="10.1140/epjc/s10052-021-09389-x",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    year = "2021"
}
@article{Belavin:2021bxb,
    author = "Belavin, Vladislav and Trofimova, Ekaterina and Ustyuzhanin, Andrey",
    title = "{Segmentation of EM showers for neutrino experiments with deep graph neural networks}",
    eprint = "2104.02040",
      journal="JINST",
      volume="16",
      pages="P12035",
      doi="10.1088/1748-0221/16/12/P12035",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "4",
    year = "2021"
}

%April 4, 2021
@article{Hariri:2021clz,
    author = "Hariri, Ali and Dyachkova, Darya and Gleyzer, Sergei",
    title = "{Graph Generative Models for Fast Detector Simulations in High Energy Physics}",
    eprint = "2104.01725",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "4",
    year = "2021"
}

%March 30, 2021
@article{Dezoort:2021kfk,
    author = "Dezoort, Gage and Thais, Savannah and Ojalvo, Isobel and Elmer, Peter and Razavimaleki, Vesal and Duarte, Javier and Atkinson, Markus and Neubauer, Mark",
    title = "{Charged particle tracking via edge-classifying interaction networks}",
    eprint = "2103.16701",
      journal="Comput.Softw.Big Sci.",
      volume="5",
      pages="26",
      doi="10.1007/s41781-021-00073-z",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "3",
    year = "2021"
}
@article{Verma:2021ixg,
    author = "Verma, Y. and Jena, S.",
    title = "{Shower Identification in Calorimeter using Deep Learning}",
    eprint = "2103.16247",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "3",
    year = "2021"
}

%March 27, 2021
@article{Verma:2021ceh,
    author = "Verma, Yogesh and Jena, Satyajit",
    title = "{Jet characterization in Heavy Ion Collisions by QCD-Aware Graph Neural Networks}",
    eprint = "2103.14906",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "3",
    year = "2021"
}

%March 26, 2021
@article{1853982,
    author = "Araz, Jack Y. and Criado, Juan Carlos and Spannwosky, Michael",
    title = "{Elvet -- a neural network-based differential equation and variational problem solver}",
    eprint = "2103.14575",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    reportNumber = "IPPP/20/87",
    month = "3",
    year = "2021"
}
@article{Bulusu:2021rqz,
    author = {Bulusu, Srinath and Favoni, Matteo and Ipp, Andreas and M\"uller, David I. and Schuh, Daniel},
    title = "{Generalization capabilities of translationally equivariant neural networks}",
    eprint = "2103.14686",
      journal="Phys.Rev.D",
      volume="104",
      pages="074504",
      doi="10.1103/PhysRevD.104.074504",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "3",
    year = "2021"
}

%March 25, 2021
@inproceedings{Rehm:2021zoz,
    author = {Rehm, Florian and Vallecorsa, Sofia and Borras, Kerstin and Kr\"ucker, Dirk},
    title = "{Validation of Deep Convolutional Generative Adversarial Networks for High Energy Physics Calorimeter Simulations}",
    eprint = "2103.13698",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "3",
    year = "2021"
}
@article{1853992,
    author = "Dropulic, Adriana and Ostdiek, Bryan and Chang, Laura J. and Liu, Hongwan and Cohen, Timothy and Lisanti, Mariangela",
    title = "{Machine Learning the 6th Dimension: Stellar Radial Velocities from 5D Phase-Space Correlations}",
    eprint = "2103.14039",
      journal="Astrophys.J.Lett.",
      volume="915",
      pages="L14",
      doi="10.3847/2041-8213/ac09ef",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.GA",
    month = "3",
    year = "2021"
}

%March 24, 2021
@article{Burton:2021tsd,
    author = "Burton, Charles and Stubbs, Spencer and Onyisi, Peter",
    title = "{Mixture Density Network Estimation of Continuous Variable Maximum Likelihood Using Discrete Training Samples}",
    eprint = "2103.13416",
      journal="Eur.Phys.J.C",
      volume="81",
      pages="662",
      doi="10.1140/epjc/s10052-021-09469-y",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "3",
    year = "2021"
}

%March 23, 2021
@article{Teixeira:2021yhl,
    author = "Teixeira, Tiago and Andrade, Luciano and de Seixas, Jos\'e Manoel",
    title = "{Sparse Deconvolution Methods for Online Energy Estimation in Calorimeters Operating in High Luminosity Conditions}",
    eprint = "2103.12467",
      journal="JINST",
      volume="16",
      pages="P09008",
      doi="10.1088/1748-0221/16/09/P09008",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "3",
    year = "2021"
}
@article{Heredge:2021vww,
    author = "Heredge, Jamie and Hill, Charles and Hollenberg, Lloyd and Sevior, Martin",
    title = "{Quantum Support Vector Machines for Continuum Suppression in B Meson Decays}",
    eprint = "2103.12257",
      journal="Comput.Softw.Big Sci.",
      volume="5",
      pages="27",
      doi="10.1007/s41781-021-00075-x",
    archivePrefix = "arXiv",
    primaryClass = "quant-ph",
    month = "3",
    year = "2021"
}

%March 22, 2021
@article{Schwartz:2021ftp,
    author = "Schwartz, Matthew D.",
    title = "{Modern Machine Learning and Particle Physics}",
    eprint = "2103.12226",
      doi="10.1162/99608f92.beeb1183",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2021"
}

%March 18, 2021
@article{Rehm:2021zow,
    author = {Rehm, Florian and Vallecorsa, Sofia and Saletore, Vikram and Pabst, Hans and Chaibi, Adel and Codreanu, Valeriu and Borras, Kerstin and Kr\"ucker, Dirk},
    title = "{Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case}",
    eprint = "2103.10142",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    doi = "10.5220/0010245002510258",
    month = "3",
    year = "2021"
}

%March 16, 2021
@article{Romero:2021qlf,
    author = "Romero, Alexis and Whiteson, Daniel and Fenton, Michael and Collado, Julian and Baldi, Pierre",
    title = "{Safety of Quark/Gluon Jet Classification}",
    eprint = "2103.09103",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2021"
}
@article{Jang:2021eph,
    author = "Jang, Cheongjae and Ko, Sang-Kyun and Noh, Yung-Kyun and Choi, Jieun and Lim, Jongwon and Kim, Tae Jeong",
    title = "{Learning to increase matching efficiency in identifying additional b-jets in the $\text{t}\bar{\text{t}}\text{b}\bar{\text{b}}$ process}",
    eprint = "2103.09129",
      journal="Eur.Phys.J.Plus",
      volume="137",
      pages="870",
      doi="10.1140/epjp/s13360-022-03024-8",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "3",
    year = "2021"
}

%March 11, 2021
@article{Ju:2021ayy,
    author = "Ju, Xiangyang and others",
    title = "{Physics and Computing Performance of the Exa.TrkX TrackML Pipeline}",
    eprint = "2103.06995",
      journal="Eur.Phys.J.C",
      volume="81",
      pages="876",
      doi="10.1140/epjc/s10052-021-09675-8",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "3",
    year = "2021"
}
@article{Hollingsworth:2021sii,
    author = "Hollingsworth, Jacob and Ratz, Michael and Tanedo, Philip and Whiteson, Daniel",
    title = "{Efficient sampling of constrained high-dimensional theoretical spaces with machine learning}",
    eprint = "2103.06957",
      journal="Eur.Phys.J.C",
      volume="81",
      pages="1138",
      doi="10.1140/epjc/s10052-021-09941-9",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    reportNumber = "UCI-TR-2021-11; UCR-TR-FLIP-2021-TA-175",
    month = "3",
    year = "2021"
}

@article{Arjona:2021hmg,
    author = "Arjona, Rub\'en and Nesseris, Savvas",
    title = "{Novel null tests for the spatial curvature and homogeneity of the Universe and their machine learning reconstructions}",
    eprint = "2103.06789",
      journal="Phys.Rev.D",
      volume="103",
      pages="103539",
      doi="10.1103/PhysRevD.103.103539",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.CO",
    reportNumber = "IFT-UAM/CSIC-21-19",
    month = "3",
    year = "2021"
}
@article{Bortolato:2021zic,
    author = "Bortolato, Bla\v{z} and Dillon, Barry M. and Kamenik, Jernej F. and Smolkovi\v{c}, Aleks",
    title = "{Bump Hunting in Latent Space}",
    eprint = "2103.06595",
      journal="Phys.Rev.D",
      volume="105",
      pages="115009",
      doi="10.1103/PhysRevD.105.115009",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2021"
}
@inproceedings{Thais:2021qcb,
    author = "Thais, Savannah and DeZoort, Gage",
    title = "{Instance Segmentation GNNs for One-Shot Conformal Tracking at the LHC}",
    eprint = "2103.06509",
    archivePrefix = "arXiv",
    primaryClass = "cs.CV",
    month = "3",
    year = "2021"
}

%March 10, 2021
@article{Barenboim:2021vzh,
    author = "Barenboim, Gabriela and Hirn, Johannes and Sanz, Veronica",
    title = "{Symmetry meets AI}",
    eprint = "2103.06115",
      journal="SciPost Phys.",
      volume="11",
      pages="014",
      doi="10.21468/SciPostPhys.11.1.014",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "3",
    year = "2021"
}
@inproceedings{Hewes:2021heg,
    author = "Hewes, Jeremy and others",
    title = "{Graph Neural Network for Object Reconstruction in Liquid Argon Time Projection Chambers}",
    eprint = "2103.06233",
      journal="EPJ Web Conf.",
      volume="251",
      pages="03054",
      doi="10.1051/epjconf/202125103054",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "3",
    year = "2021"
}
@article{Acciarri:2021oav,
    author = "{ArgoNeuT Collaboration}",
    title = "{A deep-learning based raw waveform region-of-interest finder for the liquid argon time projection chamber}",
    eprint = "2103.06391",
      journal="JINST",
      volume="17",
      pages="P01018",
      doi="10.1088/1748-0221/17/01/P01018",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "FERMILAB-PUB-21-079-ND-SCD",
    month = "3",
    year = "2021"
}

%March 9, 2021
@article{Han:2021kjx,
    author = "Han, Ming-Zhe and Jiang, Jin-Liang and Tang, Shao-Peng and Fan, Yi-Zhong",
    title = "{Bayesian nonparametric inference of neutron star equation of state via neural network}",
    eprint = "2103.05408",
      journal="Astrophys.J.",
      volume="919",
      pages="11",
      doi="10.3847/1538-4357/ac11f8",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2021"
}

%March 8, 2021
@article{Akar:2021gns,
    author = "Akar, Simon and Atluri, Gowtham and Boettcher, Thomas and Peters, Michael and Schreiner, Henry and Sokoloff, Michael and Stahl, Marian and Tepe, William and Weisser, Constantin and Williams, Mike",
    title = "{Progress in developing a hybrid deep learning algorithm for identifying and locating primary vertices}",
    eprint = "2103.04962",
      journal="EPJ Web Conf.",
      volume="251",
      pages="04012",
      doi="10.1051/epjconf/202125104012",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "3",
    year = "2021"
}
@article{Harvey:2021oue,
    author = "Harvey, T. R. and Lukas, A.",
    title = "{Particle Physics Model Building with Reinforcement Learning}",
    eprint = "2103.04759",
      journal="JHEP",
      volume="08",
      pages="161",
      doi="10.1007/JHEP08(2021)161",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    month = "3",
    year = "2021"
}

%March 5, 2021
@article{Blance:2021gcs,
    author = "Blance, Andrew and Spannowsky, Michael",
    title = "{Unsupervised Event Classification with Graphs on Classical and Photonic Quantum Computers}",
    eprint = "2103.03897",
      journal="JHEP",
      volume="08",
      pages="170",
      doi="10.1007/JHEP08(2021)170",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2021"
}

%March 2, 2021
@article{Mallick:2021wop,
    author = "Mallick, Neelkamal and Tripathy, Sushanta and Mishra, Aditya Nath and Deb, Suman and Sahoo, Raghunath",
    title = "{Estimation of Impact Parameter and Transverse Spherocity in heavy-ion collisions at the LHC energies using Machine Learning}",
    eprint = "2103.01736",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1103/PhysRevD.103.094031",
    journal = "Phys. Rev. D",
    volume = "103",
    number = "9",
    pages = "094031",
    year = "2021"
}

@inproceedings{Rossi:2021tjf,
    author = "Rossi, Marco and Vallecorsa, Sofia",
    title = "{Deep Learning strategies for ProtoDUNE raw data denoising}",
    booktitle = "{25th International Conference on Computing in High-Energy and Nuclear Physics}",
    eprint = "2103.01596",
      journal="Comput.Softw.Big Sci.",
      volume="6",
      pages="2",
      doi="10.1007/s41781-021-00077-9",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2021"
}

%March 1, 2021
@inproceedings{Biscarat:2021dlj,
    author = "Biscarat, Catherine and Caillou, Sylvain and Rougier, Charline and Stark, Jan and Zahreddine, Jad",
    title = "{Towards a realistic track reconstruction algorithm based on graph neural networks for the HL-LHC}",
    booktitle = "{25th International Conference on Computing in High-Energy and Nuclear Physics}",
    eprint = "2103.00916",
      journal="EPJ Web Conf.",
      volume="251",
      pages="03047",
      doi="10.1051/epjconf/202125103047",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "3",
    year = "2021"
}

%Feb. 24, 2021
@article{Buhmann:2021lxj,
    author = {Buhmann, Erik and Diefenbacher, Sascha and Eren, Engin and Gaede, Frank and Kasieczka, Gregor and Korol, Anatolii and Kr\"uger, Katja},
    title = "{Decoding Photons: Physics in the Latent Space of a BIB-AE Generative Network}",
    eprint = "2102.12491",
      journal="EPJ Web Conf.",
      volume="251",
      pages="03003",
      doi="10.1051/epjconf/202125103003",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "DESY 21-029",
    month = "2",
    year = "2021"
}

%Feb. 23, 2021
@article{Choi:2021sku,
    author = "Choi, Suyong and Lim, Jae Hoon",
    title = "{A Data-driven Event Generator for Hadron Colliders using Wasserstein Generative Adversarial Network}",
    eprint = "2102.11524",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.1007/s40042-021-00095-1",
    month = "2",
    year = "2021"
}

%Feb. 22, 2021
@article{Hawks:2021ruw,
    author = "Hawks, Benjamin and Duarte, Javier and Fraser, Nicholas J. and Pappalardo, Alessandro and Tran, Nhan and Umuroglu, Yaman",
    title = "{Ps and Qs: Quantization-aware pruning for efficient low latency neural network inference}",
    eprint = "2102.11289",
      journal="Front.Artif.Intell.",
      volume="4",
      pages="676564",
      doi="10.3389/frai.2021.676564",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    reportNumber = "FERMILAB-PUB-21-056-SCD",
    month = "2",
    year = "2021"
}

%Feb. 16, 2021
@article{Batson:2021agz,
    author = "Batson, Joshua and Haaf, C. Grace and Kahn, Yonatan and Roberts, Daniel A.",
    title = "{Topological Obstructions to Autoencoding}",
    eprint = "2102.08380",
      journal="JHEP",
      volume="04",
      pages="280",
      doi="10.1007/JHEP04(2021)280",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MIT-CTP/5264",
    month = "2",
    year = "2021"
}

%Feb. 15, 2021
@article{Chakravarti:2021svb,
    author = "Chakravarti, Purvasha and Kuusela, Mikael and Lei, Jing and Wasserman, Larry",
    title = "{Model-Independent Detection of New Physics Signals Using Interpretable Semi-Supervised Classifier Tests}",
    eprint = "2102.07679",
    archivePrefix = "arXiv",
    primaryClass = "stat.AP",
    month = "2",
    year = "2021"
}

%Feb. 10, 2021
@article{Droz:2021wnh,
    author = "Droz, David and Tykhonov, Andrii and Wu, Xin and Alemanno, Francesca and Ambrosi, Giovanni and Catanzani, Enrico and Di Santo, Margherita and Kyratzis, Dimitrios and Zimmer, Stephan",
    title = "{A neural network classifier for electron identification on the DAMPE experiment}",
    eprint = "2102.05534",
      journal="JINST",
      volume="16",
      pages="P07036",
      doi="10.1088/1748-0221/16/07/P07036",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.IM",
    month = "2",
    year = "2021"
}

%Feb. 9, 2021
@article{Kim:2021gtv,
    author = "Kim, Taegyun and Martin, Adam",
    title = "{A $W^\pm$ polarization analyzer from Deep Neural Networks}",
    eprint = "2102.05124",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "2",
    year = "2021"
}
@article{Mikuni:2021pou,
    author = "Mikuni, Vinicius and Canelli, Florencia",
    title = "{Point Cloud Transformers applied to Collider Physics}",
    eprint = "2102.05073",
      journal="Mach.Learn.Sci.Tech.",
      volume="2",
      pages="035027",
      doi="10.1088/2632-2153/ac07f6",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "2",
    year = "2021"
}
@article{deLima:2021fwm,
    author = "de Lima, Rafael Teixeira",
    title = "{Sequence-based Machine Learning Models in Jet Physics}",
    eprint = "2102.06128",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "2",
    year = "2021"
}

% February 3, 2021
@misc{collado2021learning,
      title="{Learning to Isolate Muons}",
      author={Julian Collado and Kevin Bauer and Edmund Witkowski and Taylor Faucett and Daniel Whiteson and Pierre Baldi},
      year={2021},
      eprint="{2102.02278}",
      journal="JHEP",
      volume="10",
      pages="200",
      doi="10.1007/JHEP10(2021)200",
      archivePrefix={arXiv},
      primaryClass={physics.data-an}
}

%Feb. 2, 2021
@article{Aguilar-Saavedra:2021rjk,
    author = "Aguilar-Saavedra, J. A.",
    title="{Pulling the Higgs and Top needles from the jet stack with Feature Extended Supervised Tagging}",
    eprint = "2102.01667",
      journal="Eur.Phys.J.C",
      volume="81",
      pages="734",
      doi="10.1140/epjc/s10052-021-09530-w",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "2",
    year = "2021"
}

% February 1, 2021
@inproceedings{Drielsma:2021jdv,
    author = "Drielsma, Francois and Terao, Kazuhiro and Domin\'e, Laura and Koh, Dae Heun",
    title = "{Scalable, End-to-End, Deep-Learning-Based Data Reconstruction Chain for Particle Imaging Detectors}",
    booktitle = "{34th Conference on Neural Information Processing Systems}",
    eprint = "2102.01033",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "2",
    year = "2021"
}
@article{Araz:2021wqm,
    author = "Araz, Jack Y. and Spannowsky, Michael",
    title = "{Combine and Conquer: Event Reconstruction with Bayesian Ensemble Neural Networks}",
    eprint = "2102.01078",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IPPP/20/74",
    doi = "10.1007/JHEP04(2021)296",
    journal = "JHEP",
    volume = "04",
    pages = "296",
    year = "2021"
}

@article{Feickert:2021ajf,
    author = "Feickert, Matthew and Nachman, Benjamin",
    title ="{A Living Review of Machine Learning for Particle Physics}",
    eprint = "2102.02770",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "2",
    year = "2021"
}

% January 28, 2021
@misc{gonzalez2021tackling,
      title="{Tackling the muon identification in water Cherenkov detectors problem for the future Southern Wide-field Gamma-ray Observatory by means of Machine Learning}",
      author={B. S. Gonz\'{a}lez and R. Concei\c{c}\~{a}o and M. Pimenta and B. Tom\'{e} and A. Guill\'{e}n},
      year={2021},
      eprint="{2101.11924}",
      archivePrefix={arXiv},
      primaryClass={physics.ins-det}
}

@misc{goto2021development,
      title="{Development of a Vertex Finding Algorithm using Recurrent Neural Network}",
      author={Kiichi Goto and Taikan Suehara and Tamaki Yoshioka and Masakazu Kurata and Hajime Nagahara and Yuta Nakashima and Noriko Takemura and Masako Iwasaki},
      year={2021},
      eprint="{2101.11906}",
      journal="Nucl.Instrum.Meth.A",
      volume="1047",
      pages="167836",
      doi="10.1016/j.nima.2022.167836",
      archivePrefix={arXiv},
      primaryClass={physics.data-an}
}

% January 27, 2021
@misc{abbasi2021convolutional,
      title="{A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory}",
      author={IceCube Collaboration},
      year={2021},
      eprint="{2101.11589}",
      journal="JINST",
      volume="16",
      pages="P07041",
      doi="10.1088/1748-0221/16/07/P07041",
      archivePrefix={arXiv},
      primaryClass={hep-ex}
}

% January 25, 2021
@misc{huang2021convolutionalneuralnetwork,
      title="{A convolutional-neural-network estimator of CMB constraints on dark matter energy injection}",
      author={Wei-Chih Huang and Jui-Lin Kuo and Yue-Lin Sming Tsai},
      year={2021},
      eprint="{2101.10360}",
      journal="JCAP",
      volume="06",
      pages="025",
      doi="10.1088/1475-7516/2021/06/025",
      archivePrefix={arXiv},
      primaryClass={astro-ph.CO}
}

% January 22, 2021
@article{Howard:2021pos,
    author = "Howard, Jessica N. and Mandt, Stephan and Whiteson, Daniel and Yang, Yibo",
    title = "{Foundations of a Fast, Data-Driven, Machine-Learned Simulator}",
    eprint = "2101.08944",
      journal="Sci.Rep.",
      volume="12",
      pages="7567",
      doi="10.1038/s41598-022-10966-7",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "1",
    year = "2021"
}
@article{Conceicao:2021xgn,
    author = "Concei\c{c}\~ao, R. and Gonz\'alez, B. S. and Guill\'en, A. and Pimenta, M. and Tom\'e, B.",
    title = "{Muon identification in a compact single-layered water Cherenkov detector and gamma/hadron discrimination using Machine Learning techniques}",
    eprint = "2101.10109",
      journal="Eur.Phys.J.C",
      volume="81",
      pages="542",
      doi="10.1140/epjc/s10052-021-09312-4",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "1",
    year = "2021"
}

% January 21, 2021
@article{Pata:2021oez,
    author = "Pata, Joosep and Duarte, Javier and Vlimant, Jean-Roch and Pierini, Maurizio and Spiropulu, Maria",
    title = "{MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks}",
    eprint = "2101.08578",
      journal="Eur.Phys.J.C",
      volume="81",
      pages="381",
      doi="10.1140/epjc/s10052-021-09158-w",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "1",
    year = "2021"
}

% January 20, 2021
@article{Kasieczka:2021xcg,
    author = "Kasieczka, Gregor and others",
    title = "{The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics}",
    eprint = "2101.08320",
      journal="Rept.Prog.Phys.",
      volume="84",
      pages="124201",
      doi="10.1088/1361-6633/ac36b9",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "1",
    year = "2021"
}

% January 18, 2021
@article{Nachman:2021yvi,
    author = "Nachman, Benjamin and Thaler, Jesse",
    title = "{E Pluribus Unum Ex Machina: Learning from Many Collider Events at Once}",
    eprint = "2101.07263",
      journal="Phys.Rev.D",
      volume="103",
      pages="116013",
      doi="10.1103/PhysRevD.103.116013",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    reportNumber = "MIT-CTP 5271",
    month = "1",
    year = "2021"
}

%January 16
@article{Amrouche:2021tlm,
    author = "Amrouche, Sabrina and Kiehn, Moritz and Golling, Tobias and Salzburger, Andreas",
    title = "{Hashing and metric learning for charged particle tracking}",
    journal = "{33rd Annual Conference on Neural Information Processing Systems}",
    eprint = "2101.06428",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "1",
    year = "2021"
}

%January 15
@article{Chen:2021ouz,
    author = "Chen, Samuel Yen-Chi and Wei, Tzu-Chieh and Zhang, Chao and Yu, Haiwang and Yoo, Shinjae",
    title = "{Hybrid Quantum-Classical Graph Convolutional Network}",
    eprint = "2101.06189",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "1",
    year = "2021"
}

%Jan 13
@article{Aarrestad:2021zos,
    author = "Aarrestad, Thea and others",
    title = "{Fast convolutional neural networks on FPGAs with hls4ml}",
    eprint = "2101.05108",
      journal="Mach.Learn.Sci.Tech.",
      volume="2",
      pages="045015",
      doi="10.1088/2632-2153/ac0ea1",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "1",
    year = "2021"
}

%Jan 12
@article{Qian:2021vnh,
    author = "Qian, Zhen and others",
    title = "{Vertex and Energy Reconstruction in JUNO with Machine Learning Methods}",
    eprint = "2101.04839",
      journal="Nucl.Instrum.Meth.A",
      volume="1010",
      pages="165527",
      doi="10.1016/j.nima.2021.165527",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "1",
    year = "2021"
}
@article{Balazs:2021uhg,
    author = "Bal\'azs, Csaba and others",
    collaboration = "DarkMachines High Dimensional Sampling Group",
    title = "{A comparison of optimisation algorithms for high-dimensional particle and astrophysics applications}",
    eprint = "2101.04525",
      journal="JHEP",
      volume="05",
      pages="108",
      doi="10.1007/JHEP05(2021)108",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "1",
    year = "2021"
}

%Jan 8.
@article{Aab:2021rcn,
    author = "{Pierre Auger Collaboration}",
    title = "{Deep-Learning based Reconstruction of the Shower Maximum $X_{\mathrm{max}}$ using the Water-Cherenkov Detectors of the Pierre Auger Observatory}",
    eprint = "2101.02946",
      journal="JINST",
      volume="16",
      pages="P07019",
      doi="10.1088/1748-0221/16/07/P07019",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.IM",
    month = "1",
    year = "2021"
}

%Dec. 23
@article{Favoni:2020reg,
    author = {Favoni, Matteo and Ipp, Andreas and M\"uller, David I. and Schuh, Daniel},
    title = "{Lattice gauge equivariant convolutional neural networks}",
    eprint = "2012.12901",
      journal="Phys.Rev.Lett.",
      volume="128",
      pages="3",
      doi="10.1103/PhysRevLett.128.032003",
    archivePrefix = "arXiv",
    primaryClass = "hep-lat",
    month = "12",
    year = "2020"
}

%Dec. 22
@article{Chen:2020zkj,
    author = "Chen, Samuel Yen-Chi and Wei, Tzu-Chieh and Zhang, Chao and Yu, Haiwang and Yoo, Shinjae",
    title = "{Quantum Convolutional Neural Networks for High Energy Physics Data Analysis}",
    eprint = "2012.12177",
      journal="Phys.Rev.Res.",
      volume="4",
      pages="013231",
      doi="10.1103/PhysRevResearch.4.013231",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "12",
    year = "2020"
}
@article{Baldi:2020hjm,
    author = "Baldi, Pierre and Blecher, Lukas and Butter, Anja and Collado, Julian and Howard, Jessica N. and Keilbach, Fabian and Plehn, Tilman and Kasieczka, Gregor and Whiteson, Daniel",
    title = "{How to GAN Higher Jet Resolution}",
    eprint = "2012.11944",
      journal="SciPost Phys.",
      volume="13",
      pages="064",
      doi="10.21468/SciPostPhys.13.3.064",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2020"
}

%Dec. 21
@article{Wu:2020cye,
    author = "Wu, Sau Lan and others",
    title = "{Application of Quantum Machine Learning using the Quantum Variational Classifier Method to High Energy Physics Analysis at the LHC on IBM Quantum Computer Simulator and Hardware with 10 qubits}",
    eprint = "2012.11560",
      journal="J.Phys.G",
      volume="48",
      pages="125003",
      doi="10.1088/1361-6471/ac1391",
    archivePrefix = "arXiv",
    primaryClass = "quant-ph",
    reportNumber = "FERMILAB-PUB-20-675-DI-QIS",
    month = "12",
    year = "2020"
}
@article{Stein:2020rou,
    author = "Stein, George and Seljak, Uros and Dai, Biwei",
    title = "{Unsupervised in-distribution anomaly detection of new physics through conditional density estimation}",
    eprint = "2012.11638",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "12",
    year = "2020"
}

%Dec. 17
@article{Kagan:2020yrm,
    author = "Kagan, Michael",
    title = "{Image-Based Jet Analysis}",
    eprint = "2012.09719",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "12",
    year = "2020"
}
@article{Bieringer:2020tnw,
    author = {Bieringer, Sebastian and Butter, Anja and Heimel, Theo and H\"oche, Stefan and K\"othe, Ullrich and Plehn, Tilman and Radev, Stefan T.},
    title = "{Measuring QCD Splittings with Invertible Networks}",
    eprint = "2012.09873",
      journal="SciPost Phys.",
      volume="10",
      pages="126",
      doi="10.21468/SciPostPhys.10.6.126",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "FERMILAB-PUB-20-665-T",
    month = "12",
    year = "2020"
}

%Dec. 15
@article{Rossi:2020sbh,
    author = "Rossi, Marco and Carrazza, Stefano and Cruz-Martinez, Juan M.",
    title = "{PDFFlow: hardware accelerating parton density access}",
    eprint = "2012.08221",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.5821/zenodo.4286175",
    month = "12",
    year = "2020"
}
@article{Verma:2020gnq,
    author = "Verma, Yogesh and Jena, Satyajit",
    title = "{Particle Track Reconstruction using Geometric Deep Learning}",
    eprint = "2012.08515",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "12",
    year = "2020"
}
@article{Rousseau:2020rnz,
    author = "Rousseau, David and Ustyuzhanin, Andrey",
    title = "{Machine Learning scientific competitions and datasets}",
    eprint = "2012.08520",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "12",
    year = "2020"
}
@article{Dreyer:2020brq,
    author = "Dreyer, Fr\'ed\'eric A. and Qu, Huilin",
    title = "{Jet tagging in the Lund plane with graph networks}",
    eprint = "2012.08526",
      doi="10.1007/JHEP03(2021)052",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2020"
}
@article{Faroughy:2020gas,
    author = "Faroughy, Darius A.",
    title = "{Uncovering hidden patterns in collider events with Bayesian probabilistic models}",
    eprint = "2012.08579",
      journal="PoS",
      volume="ICHEP2020",
      pages="238",
      doi="10.22323/1.390.0238",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2020"
}

%Dec. 14
@article{Backes:2020vka,
    author = "Backes, Mathias and Butter, Anja and Plehn, Tilman and Winterhalder, Ramon",
    title = "{How to GAN Event Unweighting}",
    eprint = "2012.07873",
      journal="SciPost Phys.",
      volume="10",
      pages="089",
      doi="10.21468/SciPostPhys.10.4.089",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2020"
}
@article{Abratenko:2020ocq,
    author = "{MicroBooNE Collaboration}",
    title = "{Semantic Segmentation with a Sparse Convolutional Neural Network for Event Reconstruction in MicroBooNE}",
    eprint = "2012.08513",
      journal="Phys.Rev.D",
      volume="103",
      pages="052012",
      doi="10.1103/PhysRevD.103.052012",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "FERMILAB-PUB-20-654-ND",
    month = "12",
    year = "2020"
}

%Dec. 11
@article{Liu:2020pzv,
    author = "Liu, Junze and Ott, Jordan and Collado, Julian and Jargowsky, Benjamin and Wu, Wenjie and Bian, Jianming and Baldi, Pierre",
    title = "{Deep-Learning-Based Kinematic Reconstruction for DUNE}",
    eprint = "2012.06181",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "12",
    year = "2020"
}
@article{Lai:2020byl,
    author = "Lai, Yue Shi and Neill, Duff and P\l{}osko\'n, Mateusz and Ringer, Felix",
    title = "{Explainable machine learning of the underlying physics of high-energy particle collisions}",
    eprint = "2012.06582",
      journal="Phys.Lett.B",
      volume="829",
      pages="137055",
      doi="10.1016/j.physletb.2022.137055",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2020"
}
@article{Du:2020pmp,
    author = "Du, Yi-Lun and Pablos, Daniel and Tywoniuk, Konrad",
    title = "{Deep learning jet modifications in heavy-ion collisions}",
    eprint = "2012.07797",
      journal="JHEP",
      volume="03",
      pages="206",
      doi="10.1007/JHEP03(2021)206",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2020"
}

%Dec. 9
@article{Grigsby:2020auv,
    author = "Grigsby, Jake and Kriesten, Brandon and Hoskins, Joshua and Liuti, Simonetta and Alonzi, Peter and Burkardt, Matthias",
    title = "{Deep Learning Analysis of Deeply Virtual Exclusive Photoproduction}",
    eprint = "2012.04801",
      journal="Phys.Rev.D",
      volume="104",
      pages="016001",
      doi="10.1103/PhysRevD.104.016001",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2020"
}

%Dec. 8
@article{Fox:2020hfm,
    author = "Fox, Patrick J. and Huang, Shangqing and Isaacson, Joshua and Ju, Xiangyang and Nachman, Benjamin",
    title = "{Beyond 4D Tracking: Using Cluster Shapes for Track Seeding}",
    eprint = "2012.04533",
      journal="JINST",
      volume="16",
      pages="P05001",
      doi="10.1088/1748-0221/16/05/P05001",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "FERMILAB-PUB-20-650-T",
    month = "12",
    year = "2020"
}

@article{Maevskiy:2020ank,
    author = "Maevskiy, A. and Ratnikov, F. and Zinchenko, A. and Riabov, V.",
    title = "{Simulating the time projection chamber responses at the MPD detector using generative adversarial networks}",
    eprint = "2012.04595",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    doi = "10.1140/epjc/s10052-021-09366-4",
    journal = "Eur. Phys. J. C",
    volume = "81",
    number = "7",
    pages = "599",
    year = "2021"
}

%Dec. 7
@article{Lee:2020qil,
    author = "Lee, Jason Sang Hun and Park, Inkyu and Watson, Ian James and Yang, Seungjin",
    title = "{Zero-Permutation Jet-Parton Assignment using a Self-Attention Network}",
    eprint = "2012.03542",
    journal="J.Korean Phys.Soc.",
    volume="84",
    pages="427",
    doi="10.1007/s40042-024-01037-3",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "12",
    year = "2020"
}

%Dec. 4
@article{Lee:2019cad,
    author = "Lee, Jason Sang Hun and Park, Inkyu and Watson, Ian James and Yang, Seungjin",
    title = "{Quark-Gluon Jet Discrimination Using Convolutional Neural Networks}",
    eprint = "2012.02531",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.3938/jkps.74.219",
    journal = "J. Korean Phys. Soc.",
    volume = "74",
    number = "3",
    pages = "219--223",
    year = "2019"
}
@article{Lee:2019ssx,
    author = "Lee, Jason Sang Hun and Lee, Sang Man and Lee, Yunjae and Park, Inkyu and Watson, Ian James and Yang, Seungjin",
    title = "{Quark Gluon Jet Discrimination with Weakly Supervised Learning}",
    eprint = "2012.02540",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.3938/jkps.75.652",
    journal = "J. Korean Phys. Soc.",
    volume = "75",
    number = "9",
    pages = "652--659",
    year = "2019"
}

%Dec. 3
@article{Vlimant:2020enz,
    author = "Vlimant, Jean-Roch and Yin, Junqi",
    title = "{Distributed Training and Optimization Of Neural Networks}",
    eprint = "2012.01839",
      doi="10.1142/9789811234033_0008",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "12",
    year = "2020"
}

%Dec. 2
@article{Duarte:2020ngm,
    author = "Duarte, Javier and Vlimant, Jean-Roch",
    title = "{Graph Neural Networks for Particle Tracking and Reconstruction}",
    eprint = "2012.01249",
      doi="10.1142/9789811234033_0012",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2020"
}

%Dec. 1
@article{Dolan:2020qkr,
    author = "Dolan, Matthew J. and Ore, Ayodele",
    title = "{Equivariant Energy Flow Networks for Jet Tagging}",
    eprint = "2012.00964",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1103/PhysRevD.103.074022",
    journal = "Phys. Rev. D",
    volume = "103",
    number = "7",
    pages = "074022",
    year = "2021"
}

%Nov. 30
@article{Heintz:2020soy,
    author = "Heintz, Aneesh and others",
    title = "{Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs}",
    journal = "{34th Conference on Neural Information Processing Systems}",
    eprint = "2012.01563",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "FERMILAB-CONF-20-622-CMS-SCD",
    month = "11",
    year = "2020"
}
@article{Kansal:2020svm,
    author = "Kansal, Raghav and Duarte, Javier and Orzari, Breno and Tomei, Thiago and Pierini, Maurizio and Touranakou, Mary and Vlimant, Jean-Roch and Gunopoulos, Dimitrios",
    title = "{Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics}",
    journal = "{34th Conference on Neural Information Processing Systems}",
    eprint = "2012.00173",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "11",
    year = "2020"
}

% November 27, 2020
@article{Grojean:2020ech,
    author = "Grojean, Christophe and Paul, Ayan and Qian, Zhuoni",
    title = "{Resurrecting $b\bar{b}h$ with kinematic shapes}",
    eprint = "2011.13945",
      journal="JHEP",
      volume="04",
      pages="139",
      doi="10.1007/JHEP04(2021)139",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "DESY-20-175, HU-EP-20/28",
    month = "11",
    year = "2020"
}

%Nov. 26
@article{Agarwal:2020fpt,
    author = "Agarwal, Garvita and Hay, Lauren and Iashvili, Ia and Mannix, Benjamin and McLean, Christine and Morris, Margaret and Rappoccio, Salvatore and Schubert, Ulrich",
    title = "{Explainable AI for ML jet taggers using expert variables and layerwise relevance propagation}",
    eprint = "2011.13466",
      journal="JHEP",
      volume="05",
      pages="208",
      doi="10.1007/JHEP05(2021)208",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2020"
}
@article{Verheyen:2020bjw,
    author = "Verheyen, Rob and Stienen, Bob",
    title = "{Phase Space Sampling and Inference from Weighted Events with Autoregressive Flows}",
    eprint = "2011.13445",
      doi="10.21468/SciPostPhys.10.2.038",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2020"
}

%Nov. 24
@article{Tsai:2020vcx,
    author = "Tsai, Yue-Lin Sming and Chung, Yi-Lun and Yuan, Qiang and Cheung, Kingman",
    title = "{Inverting cosmic ray propagation by Convolutional Neural Networks}",
    eprint = "2011.11930",
      journal="JCAP",
      volume="03",
      pages="044",
      doi="10.1088/1475-7516/2022/03/044",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.HE",
    month = "11",
    year = "2020"
}

%Nov. 21
@article{Erdmann:2020ovh,
    author = "Erdmann, Johannes and Nackenhorst, Olaf and Zei\ss{}ner, Sonja Verena",
    title = "{Maximum performance of strange-jet tagging at hadron colliders}",
    eprint = "2011.10736",
      journal="JINST",
      volume="16",
      pages="08",
      doi="10.1088/1748-0221/16/08/P08039",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "11",
    year = "2020"
}

%Nov. 19
@article{Dahbi:2020zjw,
    author = "Dahbi, Salah-eddine and Choma, Joshua and Mellado, Bruce and Mokgatitswane, Gaogalalwe and Ruan, Xifeng and Celik, Turgay and Lieberman, Benjamin",
    title = "{Machine learning approach for the search of resonances with topological features at the Large Hadron Collider}",
    eprint = "2011.09863",
      journal="Int.J.Mod.Phys.A",
      volume="37",
      pages="2150241",
      doi="10.1142/S0217751X21502419",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "11",
    year = "2020"
}

%Nov. 18
@article{Akerib:2020aws,
    author = "{LUX Collaboration}",
    title = "{Improving sensitivity to low-mass dark matter in LUX using a novel electrode background mitigation technique}",
    eprint = "2011.09602",
      journal="Phys.Rev.D",
      volume="104",
      pages="012011",
      doi="10.1103/PhysRevD.104.012011",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "11",
    year = "2020"
}

%Nov. 17
@article{Clerbaux:2020ttg,
    author = "Clerbaux, Barbara and Petitjean, Pierre-Alexandre and Xu, Yu and Yang, Yifan",
    title = "{Study of using machine learning for level 1 trigger decision in JUNO experiment}",
    eprint = "2011.08847",
      journal="IEEE Trans.Nucl.Sci.",
      volume="68",
      pages="2187",
      doi="10.1109/TNS.2021.3085428",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "11",
    year = "2020"
}

%Nov. 16
@article{Brehmer:2020brs,
    author = "Brehmer, Johann and Macaluso, Sebastian and Pappadopulo, Duccio and Cranmer, Kyle",
    title = "{Hierarchical clustering in particle physics through reinforcement learning}",
    journal = "{34th Conference on Neural Information Processing Systems}",
    eprint = "2011.08191",
    archivePrefix = "arXiv",
    primaryClass = "cs.AI",
    month = "11",
    year = "2020"
}

%Nov. 14
@article{John:2020sak,
    author = "John, Jason St. and others",
    title = "{Real-time Artificial Intelligence for Accelerator Control: A Study at the Fermilab Booster}",
    eprint = "2011.07371",
      journal="Phys.Rev.Accel.Beams",
      volume="24",
      pages="104601",
      doi="10.1103/PhysRevAccelBeams.24.104601",
    archivePrefix = "arXiv",
    primaryClass = "physics.acc-ph",
    reportNumber = "FERMILAB-PUB-20-565-AD-E-QIS-SCD",
    month = "11",
    year = "2020"
}

%Nov. 11
@InProceedings{Vandegar:2020yvw,
  author = "Vandegar, Maxime and Kagan, Michael and Wehenkel, Antoine and Louppe, Gilles",
  booktitle = "{Proceedings of The 24th International Conference on Artificial Intelligence and Statistics}",
  title = "{Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference}",
  pages = "2107--2115",
  editor = "Banerjee, Arindam and Fukumizu, Kenji",
  volume = "130",
  series = "Proceedings of Machine Learning Research",
  publisher = "PMLR",
  url = "https://proceedings.mlr.press/v130/vandegar21a.html",
  eprint = "2011.05836",
  archivePrefix = "arXiv",
  primaryClass = "stat.ML",
  month = "11",
  year = "2021"
}

%Nov. 9
@article{Tani:2020dyi,
    author = "Tani, Laurits and Rand, Diana and Veelken, Christian and Kadastik, Mario",
    title = "{Evolutionary algorithms for hyperparameter optimization in machine learning for application in high energy physics}",
    eprint = "2011.04434",
      doi="10.1140/epjc/s10052-021-08950-y",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "11",
    year = "2020"
}
@article{Flesher:2020kuy,
    author = "Flesher, Forrest and Fraser, Katherine and Hutchison, Charles and Ostdiek, Bryan and Schwartz, Matthew D.",
    title = "{Parameter Inference from Event Ensembles and the Top-Quark Mass}",
    eprint = "2011.04666",
      journal="JHEP",
      volume="09",
      pages="058",
      doi="10.1007/JHEP09(2021)058",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2020"
}

%Nov. 6
@article{Park:2020pak,
    author = "Park, Sang Eon and Rankin, Dylan and Udrescu, Silviu-Marian and Yunus, Mikaeel and Harris, Philip",
    title = "{Quasi Anomalous Knowledge: Searching for new physics with embedded knowledge}",
    eprint = "2011.03550",
      journal="JHEP",
      volume="06",
      pages="030",
      doi="10.1007/JHEP06(2021)030",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2020"
}

%Nov. 4
@article{Siviero:2020tim,
    author = "Siviero, Federico and Arcidiacono, Roberta and Cartiglia, Nicol\`o and Costa, Marco and Ferrero, Marco and Mandurrino, Marco and Sola, Valentina and Staiano, Amedeo and Tornago, Marta",
    title = "{First application of machine learning algorithms to the position reconstruction in Resistive Silicon Detectors}",
    eprint = "2011.02410",
      doi="10.1088/1748-0221/16/03/P03019",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "11",
    year = "2020"
}

%Nov. 3
@article{Collado:2020fwm,
    author = "Collado, Julian and Howard, Jessica N. and Faucett, Taylor and Tong, Tony and Baldi, Pierre and Whiteson, Daniel",
    title = "{Learning to Identify Electrons}",
    eprint = "2011.01984",
      journal="Phys.Rev.D",
      volume="103",
      pages="116028",
      doi="10.1103/PhysRevD.103.116028",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "11",
    year = "2020"
}

%October 27
@article{Nachman:2020ccu,
    author = "Nachman, Benjamin",
    title = "{Anomaly Detection for Physics Analysis and Less than Supervised Learning}",
    eprint = "2010.14554",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2020"
}

%October 26
@article{Lim:2020igi,
    author = "Lim, Sung Hak and Nojiri, Mihoko M.",
    title = "{Morphology for Jet Classification}",
    eprint = "2010.13469",
      journal="Phys.Rev.D",
      volume="105",
      pages="014004",
      doi="10.1103/PhysRevD.105.014004",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "KEK-TH-2266",
    month = "10",
    year = "2020"
}

%October 23
@article{Faucett:2020vbu,
    author = "Faucett, Taylor and Thaler, Jesse and Whiteson, Daniel",
    title = "{Mapping Machine-Learned Physics into a Human-Readable Space}",
    eprint = "2010.11998",
      doi="10.1103/PhysRevD.103.036020",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MIT-CTP 5223",
    month = "10",
    year = "2020"
}

%October 22
@article{Bhattacharya:2020vzu,
    author = "Bhattacharya, Soham and Guchait, Monoranjan and Vijay, Aravind H.",
    title = "{Boosted Top Quark Tagging and Polarization Measurement using Machine Learning}",
    eprint = "2010.11778",
      journal="Phys.Rev.D",
      volume="105",
      pages="042005",
      doi="10.1103/PhysRevD.105.042005",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2020"
}

%October 19
@article{Fenton:2020woz,
    author = "Fenton, Michael James and Shmakov, Alexander and Ho, Ta-Wei and Hsu, Shih-Chieh and Whiteson, Daniel and Baldi, Pierre",
    title = "{Permutationless Many-Jet Event Reconstruction with Symmetry Preserving Attention Networks}",
    eprint = "2010.09206",
      journal="Phys.Rev.D",
      volume="105",
      pages="112008",
      doi="10.1103/PhysRevD.105.112008",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "10",
    year = "2020"
}
@article{Kitouni:2020xgb,
    author = "Kitouni, Ouail and Nachman, Benjamin and Weisser, Constantin and Williams, Mike",
    title = "{Enhancing searches for resonances with machine learning and moment decomposition}",
    eprint = "2010.09745",
      journal="JHEP",
      volume="04",
      pages="070",
      doi="10.1007/JHEP04(2021)070",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2020"
}

%October 16
@article{Abbas:2020khd,
    author = "Abbas, Muhammad and Khan, Asifullah and Qureshi, Aqsa Saeed and Khan, Muhammad Waleed",
    title = "{Extracting Signals of Higgs Boson From Background Noise Using Deep Neural Networks}",
    eprint = "2010.08201",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2020"
}
@article{Abratenko:2020pbp,
    author = "{MicroBooNE Collaboration}",
    title = "{A Convolutional Neural Network for Multiple Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber}",
    eprint = "2010.08653",
      journal="Phys.Rev.D",
      volume="103",
      pages="092003",
      doi="10.1103/PhysRevD.103.092003",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "FERMILAB-PUB-20-527-ND",
    month = "10",
    year = "2020"
}
@article{Rankin:2020usv,
    author = "Rankin, Dylan Sheldon and others",
    title = "{FPGAs-as-a-Service Toolkit (FaaST)}",
    eprint = "2010.08556",
    archivePrefix = "arXiv",
    primaryClass = "physics.comp-ph",
    reportNumber = "FERMILAB-CONF-20-426-SCD",
    month = "10",
    year = "2020",
    journal = "2020 IEEE/ACM International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC)",
    pages = "38",
    doi= "10.1109/H2RC51942.2020.00010"
}

%October 15
@article{vanBeekveld:2020txa,
    author = "van Beekveld, Melissa and Caron, Sascha and Hendriks, Luc and Jackson, Paul and Leinweber, Adam and Otten, Sydney and Patrick, Riley and Ruiz de Austri, Roberto and Santoni, Marco and White, Martin",
    title = "{Combining outlier analysis algorithms to identify new physics at the LHC}",
    eprint = "2010.07940",
      journal="JHEP",
      volume="09",
      pages="024",
      doi="10.1007/JHEP09(2021)024",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2020"
}

%October 14
@article{Coogan:2020yux,
    author = "Coogan, Adam and Karchev, Konstantin and Weniger, Christoph",
    title = "{Targeted Likelihood-Free Inference of Dark Matter Substructure in Strongly-Lensed Galaxies}",
    journal = "{34th Conference on Neural Information Processing Systems}",
    eprint = "2010.07032",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.CO",
    month = "10",
    year = "2020"
}
@article{Blance:2020nhl,
    author = "Blance, Andrew and Spannowsky, Michael",
    title = "{Quantum Machine Learning for Particle Physics using a Variational Quantum Classifier}",
    eprint = "2010.07335",
      doi="10.1007/JHEP02(2021)212",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IPPP/20/48",
    month = "10",
    year = "2020"
}

%October 13
@article{Brehmer:2020cvb,
    author = "Brehmer, Johann and Cranmer, Kyle",
    title = "{Simulation-based inference methods for particle physics}",
    eprint = "2010.06439",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2020"
}

%October 12
@article{guo2020boosted,
      title="{The Boosted Higgs Jet Reconstruction via Graph Neural Network}",
      author="{Jun Guo and Jinmian Li and Tianjun Li}",
      year="2020",
      eprint="2010.05464",
      journal="Phys.Rev.D",
      volume="103",
      pages="116025",
      doi="10.1103/PhysRevD.103.116025",
      archivePrefix="arXiv",
      primaryClass="hep-ph"
}
@article{pol2020anomaly,
      title="{Anomaly Detection With Conditional Variational Autoencoders}",
      author="{Adrian Alan Pol and Victor Berger and Gianluca Cerminara and Cecile Germain and Maurizio Pierini}",
      year="2020",
      eprint="2010.05531",
      archivePrefix="arXiv",
      primaryClass="cs.LG"
}

%October 9
@article{Andreassen:2020gtw,
    author = "Andreassen, Anders and Hsu, Shih-Chieh and Nachman, Benjamin and Suaysom, Natchanon and Suresh, Adi",
    title = "{Parameter Estimation using Neural Networks in the Presence of Detector Effects}",
    eprint = "2010.03569",
      doi="10.1103/PhysRevD.103.036001",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    journal="Phys. Rev. D",
    volume="103",
    pages="036001",
    year = "2021"
}
%October 8
@article{DelDebbio:2020rgv,
    author = "Del Debbio, Luigi and Giani, Tommaso and Karpie, Joseph and Orginos, Kostas and Radyushkin, Anatoly and Zafeiropoulos, Savvas",
    title = "{Neural-network analysis of Parton Distribution Functions from Ioffe-time pseudodistributions}",
    eprint = "2010.03996",
      doi="10.1007/JHEP02(2021)138",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2020"
}
%October 5
@article{Lazzarin:2020uvv,
    author = "Lazzarin, Marco and Alioli, Simone and Carrazza, Stefano",
    title = "{MCNNTUNES: tuning Shower Monte Carlo generators with machine learning}",
    eprint = "2010.02213",
      doi="10.1016/j.cpc.2021.107908",
    archivePrefix = "arXiv",
    primaryClass = "physics.comp-ph",
    month = "10",
    year = "2020"
}
@article{Chen:2020uds,
    author = "Chen, Cheng and Cerri, Olmo and Nguyen, Thong Q. and Vlimant, Jean-Roch and Pierini, Maurizio",
    title = "{Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning}",
    eprint = "2010.01835",
    archivePrefix = "arXiv",
    primaryClass = "physics.comp-ph",
    month = "10",
    year = "2020"
}
%October 3
@article{Freitas:2020ttd,
    author = "Freitas, Felipe F. and Gon\c{c}alves, Jo\~ao and Morais, Ant\'onio P. and Pasechnik, Roman",
    title = "{Phenomenology of vector-like leptons with Deep Learning at the Large Hadron Collider}",
    eprint = "2010.01307",
      doi="10.1007/JHEP01(2021)076",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2020"
}
%September 28
@article{Mikuni:2020qds,
    author = "Mikuni, Vinicius and Canelli, Florencia",
    title = "{Unsupervised clustering for collider physics}",
    eprint = "2010.07106",
      journal="Phys.Rev.D",
      volume="103",
      pages="092007",
      doi="10.1103/PhysRevD.103.092007",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "9",
    year = "2020"
}

%September 23
@article{Lu:2020npg,
    author = "Lu, Yadong and Collado, Julian and Whiteson, Daniel and Baldi, Pierre",
    title = "{SARM: Sparse Autoregressive Model for Scalable Generation of Sparse Images in Particle Physics}",
    eprint = "2009.14017",
      doi="10.1103/PhysRevD.103.036012",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    month = "9",
    year = "2020"
}

%September 16
@article{Chen:2020nfb,
    author = "Chen, I-Kai and Klimek, Matthew D. and Perelstein, Maxim",
    title = "{Improved Neural Network Monte Carlo Simulation}",
    eprint = "2009.07819",
      doi="10.21468/SciPostPhys.10.1.023",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2020"
}
@article{Ostdiek:2020cqz,
    author = "Ostdiek, Bryan and Diaz Rivero, Ana and Dvorkin, Cora",
    title = "{Detecting Subhalos in Strong Gravitational Lens Images with Image Segmentation}",
    eprint = "2009.06663",
      journal="Astron.Astrophys.",
      volume="657",
      pages="L14",
      doi="10.1051/0004-6361/202142030",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.CO",
    month = "9",
    year = "2020"
}

%September 14

@article{Tannenwald:2020mhq,
    author = "Tannenwald, Benjamin and Neu, Christopher and Li, Ang and Buehlmann, Gracemarie and Cuddeback, Anna and Hatfield, Leigh and Parvatam, Ruhi and Thompson, Colby",
    title = "{Benchmarking Machine Learning Techniques with Di-Higgs Production at the LHC}",
    eprint = "2009.06754",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2020"
}
@article{Carrazza:2020qwu,
    author = "Carrazza, Stefano and Cruz-Martinez, Juan M. and Rossi, Marco",
    title = "{PDFFlow: parton distribution functions on GPU}",
    eprint = "2009.06635",
      journal="Comput.Phys.Commun.",
      volume="264",
      pages="107995",
      doi="10.1016/j.cpc.2021.107995",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2020"
}

%September 13
@article{Chung:2020ysf,
    author = "Chung, Yi-Lun and Hsu, Shih-Chieh and Nachman, Benjamin",
    title = "{Disentangling Boosted Higgs Boson Production Modes with Machine Learning}",
    eprint = "2009.05930",
      journal="JINST",
      volume="16",
      pages="P07002",
      doi="10.1088/1748-0221/16/07/P07002",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2020"
}


%September 10

@article{1816035,
    author = "Dohi, Kosei",
    title = "{Variational Autoencoders for Jet Simulation}",
    eprint = "2009.04842",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2020"
}

%September 8
@article{Diefenbacher:2020rna,
    author = "Diefenbacher, Sascha and Eren, Engin and Kasieczka, Gregor and Korol, Anatolii and Nachman, Benjamin and Shih, David",
    title = "{DCTRGAN: Improving the Precision of Generative Models with Reweighting}",
    eprint = "2009.03796",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1088/1748-0221/15/11/P11004",
    journal = "JINST",
    volume = "15",
    number = "11",
    pages = "P11004",
    year = "2020"
}

%September 6

@article{1815227,
    author = "Benkendorfer, Kees and Pottier, Luc Le and Nachman, Benjamin",
    title = "{Simulation-Assisted Decorrelation for Resonant Anomaly Detection}",
    eprint = "2009.02205",
      journal="Phys.Rev.D",
      volume="104",
      pages="035003",
      doi="10.1103/PhysRevD.104.035003",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2020"
}

%September 2

@article{alonsomonsalve2020graph,
    title="{Graph neural network for 3D classification of ambiguities and optical crosstalk in scintillator-based neutrino detectors}",
    author="Saul Alonso-Monsalve and Dana Douqa and Cesar Jesus-Valls and Thorsten Lux and Sebastian Pina-Otey and Federico Sanchez and Davide Sgalaberna and Leigh H. Whitehead",
    year="2020",
    eprint="2009.00688",
      doi="10.1103/PhysRevD.103.032005",
    archivePrefix="arXiv",
    primaryClass="hep-ex"
}

@article{Ilyasov_2020,
   title="{Boosted decision trees approach to neck alpha events discrimination in DEAP-3600 experiment}",
   DOI="10.1088/1402-4896/ab8dff",
   journal="Physica Scripta",
   author="Ilyasov, Aidar and Grobov, Alexey",
   year="2020"
}


%September 1

@article{li2020attention,
    title="{An Attention Based Neural Network for Jet Tagging}",
    author="Jing Li and Hao Sun",
    year="2020",
    eprint="2009.00170",
    archivePrefix="arXiv",
    primaryClass="hep-ph"
}

%August 30

@article{aguilarsaavedra2020mass,
    title="{Mass Unspecific Supervised Tagging (MUST) for boosted jets}",
    author="J. A. Aguilar-Saavedra and F. R. Joaquim and J. F. Seabra",
    year="2020",
    eprint="2008.12792",
      doi="10.1007/JHEP03(2021)012",
    archivePrefix="arXiv",
    primaryClass="hep-ph"
}

@article{li2020reconstructing,
    title="{Reconstructing boosted Higgs jets from event image segmentation}",
    author="Jinmian Li and Tianjun Li and Fang-Zhou Xu",
    year="2020",
    eprint="2008.13529",
      journal="JHEP",
      volume="04",
      pages="156",
      doi="10.1007/JHEP04(2021)156",
    archivePrefix="arXiv",
    primaryClass="hep-ph"
}

%August 27

@article{Alexander:2020mbx,
    author = "Alexander, Stephon and Gleyzer, Sergei and Parul, Hanna and Reddy, Pranath and Toomey, Michael W. and Usai, Emanuele and Von Klar, Ryker",
    title = "{Decoding Dark Matter Substructure without Supervision}",
    eprint = "2008.12731",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.CO",
    month = "8",
    year = "2020"
}

%August 26

@article{Forte:2020yip,
    author = "Forte, Stefano and Carrazza, Stefano",
    title = "{Parton distribution functions}",
    eprint = "2008.12305",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "TIF-UNIMI-2020-23",
    month = "8",
    year = "2020"
}

%August 24

@article{Bury:2020ewi,
    author = "Bury, Florian and Delaere, Christophe",
    title = "{Matrix Element Regression with Deep Neural Networks -- breaking the CPU barrier}",
    eprint = "2008.10949",
      journal="JHEP",
      volume="04",
      pages="020",
      doi="10.1007/JHEP04(2021)020",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CP3-20-37",
    month = "8",
    year = "2020"
}

@article{Bols:2020bkb,
    author = "Bols, Emil and Kieseler, Jan and Verzetti, Mauro and Stoye, Markus and Stakia, Anna",
    title = "{Jet Flavour Classification Using DeepJet}",
    eprint = "2008.10519",
      doi="10.1088/1748-0221/15/12/P12012",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "8",
    year = "2020"
}

%August 23

@article{Mohan:2020vvi,
    author = "Mohan, Lakshan Ram Madhan and Marshall, Alexander and Maddrell-Mander, Samuel and O'Hanlon, Daniel and Petridis, Konstantinos and Rademacker, Jonas and Rege, Victoria and Titterton, Alexander",
    title = "{Studying the potential of Graphcore IPUs for applications in Particle Physics}",
    eprint = "2008.09210",
      doi="10.1007/s41781-021-00057-z",
    archivePrefix = "arXiv",
    primaryClass = "physics.comp-ph",
    month = "8",
    year = "2020"
}

%August 20

@article{Englert:2020ntw,
    author = "Englert, Christoph and Fairbairn, Malcolm and Spannowsky, Michael and Stylianou, Panagiotis and Varma, Sreedevi",
    title = "{Sensing Higgs cascade decays through memory}",
    eprint = "2008.08611",
      doi="10.1103/PhysRevD.102.095027",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IPPP/20/36; KCL-PH-TH/2020-45",
    month = "8",
    year = "2020"
}
@article{Cai:2020vzx,
    author = "Cai, Tianji and Cheng, Junyi and Craig, Katy and Craig, Nathaniel",
    title = "{Linearized Optimal Transport for Collider Events}",
    eprint = "2008.08604",
      doi="10.1103/PhysRevD.102.116019",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2020"
}
@article{Brewer:2020och,
    author = "Brewer, Jasmine and Thaler, Jesse and Turner, Andrew P.",
    title = "{Data-driven quark and gluon jet modification in heavy-ion collisions}",
    eprint = "2008.08596",
      doi="10.1103/PhysRevC.103.L021901",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MIT-CTP 5219",
    month = "8",
    year = "2020"
}
@article{Butter:2020tvl,
    author = "Butter, Anja and Plehn, Tilman",
    title = "{Generative Networks for LHC events}",
    eprint = "2008.08558",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2020"
}

%August 16

@article{1811770,
      author="X. Ju and B. Nachman",
      title="{Supervised Jet Clustering with Graph Neural Networks for Lorentz Boosted Bosons}",
      eprint="2008.06064",
      doi="10.1103/PhysRevD.102.075014",
      archivePrefix = "arXiv",
      primaryClass = "hep-ph",
      journal="Phys. Rev. D",
      volume="102",
      pages="075014",
      year = "2020",
}

@article{2008.06545,
      author="A. Butter and S. Diefenbacher and G. Kasieczka and B. Nachman and T. Plehn",
      title="{GANplifying Event Samples}",
      eprint="2008.06545",
      journal="SciPost Phys.",
      volume="10",
      pages="139",
      doi="10.21468/SciPostPhys.10.6.139",
      archivePrefix = "arXiv",
      primaryClass = "hep-ph",
      year = "2020",
}

%August 13

@article{Ngairangbam:2020ksz,
    author = "Ngairangbam, Vishal S. and Bhardwaj, Akanksha and Konar, Partha and Nayak, Aruna Kumar",
    title = "{Invisible Higgs search through Vector Boson Fusion: A deep learning approach}",
    eprint = "2008.05434",
      doi="10.1140/epjc/s10052-020-08629-w",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2020"
}

@article{Grossi:2020orx,
    author = "Grossi, M. and Novak, J. and Rebuzzi, D. and Kersevan, B.",
    title = "{Comparing Traditional and Deep-Learning Techniques of Kinematic Reconstruction for polarisation Discrimination in Vector Boson Scattering}",
    eprint = "2008.05316",
      doi="10.1140/epjc/s10052-020-08713-1",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2020"
}

%August 11

@article{1811097,
    author = "Bhattacharya, Srimoy and Nandi, Soumitra and Patra, Sunando Kumar and Sahoo, Shantanu",
    title = "{'Deep' Dive into $b \to c$ Anomalies: Standardized and Future-proof Model Selection Using Self-normalizing Neural Networks}",
    eprint = "2008.04316",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2020"
}

%August 10

@article{Choi:2020bnf,
    author = "Choi, Suyong and Lim, Jaehoon and Oh, Hayoung",
    title = "{Data-driven Estimation of Background Distribution through Neural Autoregressive Flows}",
    eprint = "2008.03636",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2020"
}

@article{Cogollo:2020afo,
    author = "Cogollo, D. and Freitas, F.F. and Pires, C.A.de S. and Oviedo-Torres, Yohan M. and Vasconcelos, P.",
    title = "{Deep learnig analysis of the inverse seesaw in a 3-3-1 model at the LHC}",
    eprint = "2008.03409",
      doi="10.1016/j.physletb.2020.135931",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2020"
}

@article{Iiyama:2020wap,
    author = "Iiyama, Yutaro and others",
    title = "{Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics}",
    eprint = "2008.03601",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "FERMILAB-PUB-20-405-E-SCD",
    doi = "10.3389/fdata.2020.598927",
    journal = "Front. Big Data",
    volume = "3",
    pages = "598927",
    year = "2020"
}

%August 9

@article{Shlomi:2020ufi,
    author = "Shlomi, Jonathan and Ganguly, Sanmay and Gross, Eilam and Cranmer, Kyle and Lipman, Yaron and Serviansky, Hadar and Maron, Haggai and Segol, Nimrod",
    title = "{Secondary Vertex Finding in Jets with Neural Networks}",
    eprint = "2008.02831",
      journal="Eur.Phys.J.C",
      volume="81",
      pages="540",
      doi="10.1140/epjc/s10052-021-09342-y",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "8",
    year = "2020"
}

@article{Alanazi:2020jod,
    author = "Alanazi, Y. and others",
    title = "{AI-based Monte Carlo event generator for electron-proton scattering}",
    eprint = "2008.03151",
      journal="Phys.Rev.D",
      volume="106",
      pages="096002",
      doi="10.1103/PhysRevD.106.096002",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "JLAB-THY-20-3230",
    month = "8",
    year = "2020"
}

%August 5

@article{Psihas:2020pby,
    author = "Psihas, Fernanda and Groh, Micah and Tunnell, Christopher and Warburton, Karl",
    title = "{A Review on Machine Learning for Neutrino Experiments}",
    eprint = "2008.01242",
      doi="10.1142/S0217751X20430058",
    archivePrefix = "arXiv",
    primaryClass = "physics.comp-ph",
    month = "8",
    year = "2020"
}

%August 3

@article{Thaprasop:2020mzp,
    author = "Thaprasop, Punnathat and Zhou, Kai and Steinheimer, Jan and Herold, Christoph",
    title = "{Unsupervised Outlier Detection in Heavy-Ion Collisions}",
    eprint = "2007.15830",
      journal="Phys.Scripta",
      volume="96",
      pages="064003",
      doi="10.1088/1402-4896/abf214",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "7",
    year = "2020"
}

%July 29

@article{Kuznetsov:2020mcj,
    author = "Kuznetsov, Valentin and Giommi, Luca and Bonacorsi, Daniele",
    title = "{MLaaS4HEP: Machine Learning as a Service for HEP}",
    eprint = "2007.14781",
      journal="Comput.Softw.Big Sci.",
      volume="5",
      pages="17",
      doi="10.1007/s41781-021-00061-3",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "7",
    year = "2020"
}
@article{Khosa:2020qrz,
    author = "Khosa, Charanjit K. and Sanz, Veronica",
    title = "{Anomaly Awareness}",
    eprint = "2007.14462",
      journal="SciPost Phys.",
      volume="15",
      pages="053",
      doi="10.21468/SciPostPhys.15.2.053",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "7",
    year = "2020"
}
@article{Kasieczka:2020pil,
    author = "Kasieczka, Gregor and Nachman, Benjamin and Schwartz, Matthew D. and Shih, David",
    title = "{ABCDisCo: Automating the ABCD Method with Machine Learning}",
    eprint = "2007.14400",
      doi="10.1103/PhysRevD.103.035021",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2020"
}
@article{Chang:2020rtc,
    author = "Chang, Spencer and Chen, Ting-Kuo and Chiang, Cheng-Wei",
    title = "{Distinguishing $W'$ Signals at Hadron Colliders Using Neural Networks}",
    eprint = "2007.14586",
      doi="10.1103/PhysRevD.103.036016",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2020"
}

%July 27

@article{1808876,
    author = "Jercic, Marko and Poljak, Nikola",
    title = "{Exploring the Possibility of a Recovery of Physics Process Properties from a Neural Network Model}",
    eprint = "2007.13110",
      doi="10.3390/e22090994",
    archivePrefix = "arXiv",
    primaryClass = "physics.comp-ph",
    month = "7",
    year = "2020"
}

@article{Yu:2020wxu,
    author = "Yu, Haiwang and others",
    title = "{Augmented signal processing in Liquid Argon Time Projection Chambers with a deep neural network}",
    eprint = "2007.12743",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    doi = "10.1088/1748-0221/16/01/P01036",
    journal = "JINST",
    volume = "16",
    number = "01",
    pages = "P01036",
    year = "2021"
}

@article{Shlomi:2020gdn,
    author = "Shlomi, Jonathan and Battaglia, Peter and Vlimant, Jean-Roch",
    title = "{Graph Neural Networks in Particle Physics}",
    eprint = "2007.13681",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.1088/2632-2153/abbf9a",
    month = "7",
    year = "2020"
}

%July 23
@article{Nachman:2020fff,
      author="B. Nachman and J. Thaler",
      title="{A Neural Resampler for Monte Carlo Reweighting with Preserved Uncertainties}",
      eprint="2007.11586",
      doi="10.1103/PhysRevD.102.076004",
      archivePrefix = "arXiv",
      primaryClass = "hep-ph",
      volume="102",
      pages="076004",
      year = "2020"
}

%July 21

@article{1808105,
    author = "Chen, Siyu and Glioti, Alfredo and Panico, Giuliano and Wulzer, Andrea",
    title = "{Parametrized classifiers for optimal EFT sensitivity}",
    eprint = "2007.10356",
      journal="JHEP",
      volume="05",
      pages="247",
      doi="10.1007/JHEP05(2021)247",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2020"
}
@article{1808088,
    author = "Krupa, Jeffrey and others",
    title = "{GPU coprocessors as a service for deep learning inference in high energy physics}",
    eprint = "2007.10359",
      journal="Mach.Learn.Sci.Tech.",
      volume="2",
      pages="035005",
      doi="10.1088/2632-2153/abec21",
    archivePrefix = "arXiv",
    primaryClass = "physics.comp-ph",
    reportNumber = "FERMILAB-PUB-20-338-E-SCD",
    month = "7",
    year = "2020"
}

%July 19
@article{1807719,
    author = "Dorigo, Tommaso and de Castro, Pablo",
    title = "{Dealing with Nuisance Parameters using Machine Learning in High Energy Physics: a Review}",
    eprint = "2007.09121",
    archivePrefix = "arXiv",
    primaryClass = "stat.ML",
    month = "7",
    year = "2020"
}

%July 9
@article{1806025,
    author = "Kasieczka, Gregor and Marzani, Simone and Soyez, Gregory and Stagnitto, Giovanni",
    title = "{Towards Machine Learning Analytics for Jet Substructure}",
    eprint = "2007.04319",
      doi="10.1007/JHEP09(2020)195",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "TIF-UNIMI-2020-12",
    month = "7",
    year = "2020"
}
@article{1806026,
    author = "Kronheim, Braden and Kuchera, Michelle and Prosper, Harrison and Karbo, Alexander",
    title = "{Bayesian Neural Networks for Fast SUSY Predictions}",
    eprint = "2007.04506",
      doi="10.1016/j.physletb.2020.136041",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2020"
}

%July 7
@article{Koh:2020snv,
    author = "Koh, Dae Heun and C\^ote De Soux, Pierre and Domin\'e, Laura and Drielsma, Fran\c{c}ois and Itay, Ran and Lin, Qing and Terao, Kazuhiro and Tsang, Ka Vang and Usher, Tracy L.",
    collaboration = "DeepLearnPhysics",
    title = "{Scalable, Proposal-free Instance Segmentation Network for 3D Pixel Clustering and Particle Trajectory Reconstruction in Liquid Argon Time Projection Chambers}",
    eprint = "2007.03083",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "7",
    year = "2020"
}

%July 6
@article{Akar:2020jti,
    author = "Akar, Simon and Boettcher, Thomas J. and Carl, Sarah and Schreiner, Henry F. and Sokoloff, Michael D. and Stahl, Marian and Weisser, Constantin and Williams, Mike",
    title = "{An updated hybrid deep learning algorithm for identifying and locating primary vertices}",
    eprint = "2007.01023",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "7",
    year = "2020"
}
@article{Cheng:2020dal,
    author = "Cheng, Taoli and Arguin, Jean-François and Leissner-Martin, Julien and Pilette, Jacinthe and Golling, Tobias",
    title = "{Variational Autoencoders for Anomalous Jet Tagging}",
    eprint = "2007.01850",
      journal="Phys.Rev.D",
      volume="107",
      pages="016002",
      doi="10.1103/PhysRevD.107.016002",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2020"
}

%July 2
@article{DeepLearnPhysics:2020hut,
    author = "Drielsma, Francois and Lin, Qing and de Soux, Pierre C\^ote and Domin\'e, Laura and Itay, Ran and Koh, Dae Heun and Nelson, Bradley J. and Terao, Kazuhiro and Tsang, Ka Vang and Usher, Tracy L.",
    collaboration = "DeepLearnPhysics",
    title = "{Clustering of electromagnetic showers and particle interactions with graph neural networks in liquid argon time projection chambers}",
    eprint = "2007.01335",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    doi = "10.1103/PhysRevD.104.072004",
    journal = "Phys. Rev. D",
    volume = "104",
    number = "7",
    pages = "072004",
    year = "2021"
}

%June 30
@article{1804325,
    author = "Buckley, Andy and Kvellestad, Anders and Raklev, Are and Scott, Pat and Sparre, Jon Vegard and Abeele, Jeriek Van den and Vazquez-Holm, Ingrid A.",
    title = "{$\textsf{Xsec}$: the cross-section evaluation code}",
    eprint = "2006.16273",
      doi="10.1140/epjc/s10052-020-08635-y",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "SAGEX-20-17-E",
    month = "6",
    year = "2020"
}
@article{Choma:2020cry,
    author = "Choma, Nicholas and others",
    title = "{Track Seeding and Labelling with Embedded-space Graph Neural Networks}",
    eprint = "2007.00149",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "FERMILAB-CONF-20-387-PPD-QIS-SCD",
    month = "6",
    year = "2020"
}

%June 28
@article{Domine:2020tlx,
    author = "Domin{\'e}, Laura and Terao, Kazuhiro",
    title = "{Point Proposal Network for Reconstructing 3D Particle Positions with Sub-Pixel Precision in Liquid Argon Time Projection Chambers}",
    eprint = "2006.14745",
      journal="Phys.Rev.D",
      volume="104",
      pages="032004",
      doi="10.1103/PhysRevD.104.032004",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "6",
    year = "2020"
}

% 2020-06-26
@article{DUNE:2020gpm,
    author = "{DUNE Collaboration}",
    title = "{Neutrino interaction classification with a convolutional neural network in the DUNE far detector}",
    eprint = "2006.15052",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "FERMILAB-PUB-20-241-E",
    doi = "10.1103/PhysRevD.102.092003",
    journal = "Phys. Rev. D",
    volume = "102",
    number = "9",
    pages = "092003",
    year = "2020"
}

%June 23
@article{Sirunyan:2020hwz,
    author = "{CMS Collaboration}",
    title = "{Inclusive search for highly boosted Higgs bosons decaying to bottom quark-antiquark pairs in proton-proton collisions at $\sqrt{s} =$ 13 TeV}",
    eprint = "2006.13251",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CMS-HIG-19-003, CERN-EP-2020-107",
    doi = "10.1007/JHEP12(2020)085",
    journal = "JHEP",
    volume = "12",
    pages = "085",
    year = "2020"
}

%June 16
@article{1801423,
    author = "Bernreuther, Elias and Finke, Thorben and Kahlhoefer, Felix and Kr{\"a}mer, Michael and M{\"u}ck, Alexander",
    title = "{Casting a graph net to catch dark showers}",
    eprint = "2006.08639",
      doi="10.21468/SciPostPhys.10.2.046",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "TTK-20-17, P3H-20-025",
    month = "6",
    year = "2020"
}

%June 14
@article{1800956,
    author = "Bellagente, Marco and Butter, Anja and Kasieczka, Gregor and Plehn, Tilman and Rousselot, Armand and Winterhalder, Ramon",
    title = "{Invertible Networks or Partons to Detector and Back Again}",
    eprint = "2006.06685",
      doi="10.21468/SciPostPhys.9.5.074",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2020"
}

%June 11
@misc{deja2020endtoend,
      title={End-to-end Sinkhorn Autoencoder with Noise Generator},
      author={Kamil Deja and Jan Dubiński and Piotr Nowak and Sandro Wenzel and Tomasz Trzciński},
      year={2020},
      eprint={2006.06704},
      journal="IEEE Access",
      volume="9",
      pages="7211",
      doi="10.1109/ACCESS.2020.3048622",
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}

%June 10
@article{1800445,
    author = "Romao, M. Crispim and Castro, N.F. and Pedro, R.",
    title = "{Finding New Physics without learning about it: Anomaly Detection as a tool for Searches at Colliders}",
    eprint = "2006.05432",
      doi="10.1140/epjc/s10052-020-08807-w",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2020"
}

% 2020-02-13
@article{Wang:2020tap,
    author = "Wang, Kun and Zhu, Jingya",
    title = "{A Novel Scenario in the Semi-constrained NMSSM}",
    eprint = "2002.05554",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "WHU-HEP-PH-TEV006",
    doi = "10.1007/JHEP06(2020)078",
    journal = "JHEP",
    volume = "06",
    pages = "078",
    year = "2020"
}

%June 4
@article{Adams:2020vlj,
    author = "Adams, Corey and Terao, Kazuhiro and Wongjirad, Taritree",
    title = "{PILArNet: Public Dataset for Particle Imaging Liquid Argon Detectors in High Energy Physics}",
    eprint = "2006.01993",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "6",
    year = "2020"
}

@article{Lei:2020ucb,
    author = "Lei, Ying-Ke and Liu, Chun and Chen, Zhiqiang",
    title = "{Numerical analysis of neutrino physics within a high scale supersymmetry model via machine learning}",
    eprint = "2006.01495",
      doi="10.1142/S0217732320502181",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2020"
}

%June 03
@article{Mikuni:2020wpr,
    author = "Mikuni, Vinicius and Canelli, Florencia",
    title = "{ABCNet: An attention-based method for particle tagging}",
    eprint = "2001.05311",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    doi = "10.1140/epjp/s13360-020-00497-3",
    journal = "Eur. Phys. J. Plus",
    volume = "135",
    number = "6",
    pages = "463",
    year = "2020"
}


%May 26
@article{1797846,
    author = "Dillon, Barry M. and Faroughy, Darius A. and Kamenik, Jernej F. and Szewc, Manuel",
    title = "{Learning the latent structure of collider events}",
    eprint = "2005.12319",
      doi="10.1007/JHEP10(2020)206",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2020"
}

%May 25
@techreport{ATL-PHYS-PUB-2020-014,
    title = "{Deep Sets based Neural Networks for Impact Parameter Flavour Tagging in ATLAS}",
    institution   = "CERN",
    author = "{ATLAS Collaboration}",
    address = "Geneva",
    number = "ATL-PHYS-PUB-2020-014",
    reportNumber = "ATL-PHYS-PUB-2020-014",
    month = "May",
    year = "2020",
    url = "https://cds.cern.ch/record/2718948"
}

%May 24
@article{1797439,
    author = "Abdughani, Murat and Wang, Daohan and Wu, Lei and Yang, Jin Min and Zhao, Jun",
    title = "{Probing triple Higgs coupling with machine learning at the LHC}",
    eprint = "2005.11086",
      journal="Phys.Rev.D",
      volume="104",
      pages="056003",
      doi="10.1103/PhysRevD.104.056003",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2020"
}

% May 12, 2020
@article{buhmann2020getting,
    title="{Getting High: High Fidelity Simulation of High Granularity Calorimeters with High Speed}",
    author={Erik Buhmann and Sascha Diefenbacher and Engin Eren and Frank Gaede and Gregor Kasieczka and Anatolii Korol and Katja Kruger},
    year={2020},
    eprint="2005.05334",
      journal="Comput.Softw.Big Sci.",
      volume="5",
      pages="13",
      doi="10.1007/s41781-021-00056-0",
    archivePrefix={arXiv},
    primaryClass={physics.ins-det}
}

% May 8, 2020
@article{Guan:2020bdl,
    author = "Guan, Wen and Perdue, Gabriel and Pesah, Arthur and Schuld, Maria and Terashi, Koji and Vallecorsa, Sofia and Vlimant, Jean-Roch",
    title = "{Quantum Machine Learning in High Energy Physics}",
    eprint = "2005.08582",
    archivePrefix = "arXiv",
    primaryClass = "quant-ph",
    doi = "10.1088/2632-2153/abc17d",
    month = "5",
    year = "2020"
}

% May 7, 2020
@article{collaboration2020dijet,
    title="{Dijet resonance search with weak supervision using 13 TeV pp collisions in the ATLAS detector}",
    author="{ATLAS Collaboration}",
    year={2020},
    eprint="2005.02983",
      doi="10.1103/PhysRevLett.125.131801",
    archivePrefix={arXiv},
    primaryClass={hep-ex}
}

%May 6
@article{bielkov2020identifying,
    title="{Identifying Heavy-Flavor Jets Using Vectors of Locally Aggregated Descriptors}",
    author={Jana Bielcikoaá and Raghav Kunnawalkam Elayavalli and Georgy Ponimatkin and Jörn H. Putschke and Josef Sivic},
    year={2020},
    eprint="2005.01842",
      doi="10.1088/1748-0221/16/03/P03017",
    archivePrefix={arXiv},
    primaryClass={hep-ph}
}

%May 5
@article{knapp2020adversarially,
    title="{Adversarially Learned Anomaly Detection on CMS Open Data: re-discovering the top quark}",
    author={Oliver Knapp and Guenther Dissertori and Olmo Cerri and Thong Q. Nguyen and Jean-Roch Vlimant and Maurizio Pierini},
    year={2020},
    eprint="2005.01598",
      doi="10.1140/epjp/s13360-021-01109-4",
    archivePrefix={arXiv},
    primaryClass={hep-ex}
}
@article{clavijo2020adversarial,
    title="{Adversarial domain adaptation to reduce sample bias of a high energy physics classifier}",
    author={Jose M. Clavijo and Paul Glaysher and Judith M. Katzy},
    year={2020},
    eprint="2005.00568",
      journal="Mach.Learn.Sci.Tech.",
      volume="3",
      pages="015014",
      doi="10.1088/2632-2153/ac3dde",
    archivePrefix={arXiv},
    primaryClass={stat.ML}
}

%April 26
@article{Aiello:2020orq,
    author = "{KM3NeT Collaboration}",
    archivePrefix = "arXiv",
    eprint = "2004.08254",
      doi="10.1088/1748-0221/15/10/P10005",
    month = "4",
    primaryClass = "astro-ph.IM",
    title = "{Event reconstruction for KM3NeT/ORCA using convolutional neural networks}",
    year = "2020"
}

% April 22, 2020
@article{1792136,
    author = "Alimena, Juliette and Iiyama, Yutaro and Kieseler, Jan",
    archivePrefix = "arXiv",
    eprint = "2004.10744",
      doi="10.1088/1748-0221/15/12/P12006",
    month = "4",
    primaryClass = "hep-ex",
    title = "{Fast convolutional neural networks for identifying long-lived particles in a high-granularity calorimeter}",
    year = "2020"
}

% April 21, 2020
@article{Romao:2020ojy,
    author = "Romao, M. Crispim and Castro, N.F. and Milhano, J.G. and Pedro, R. and Vale, T.",
    archivePrefix = "arXiv",
    eprint = "2004.09360",
      doi="10.1140/epjc/s10052-021-08891-6",
    month = "4",
    primaryClass = "hep-ph",
    title = "{Use of a Generalized Energy Mover's Distance in the Search for Rare Phenomena at Colliders}",
    year = "2020"
}

% March 19, 2020
@article{DiBello:2020bas,
    author = "Di Bello, Francesco Armando and Ganguly, Sanmay and Gross, Eilam and Kado, Marumi and Pitt, Michael and Santi, Lorenzo and Shlomi, Jonathan",
    title = "{Towards a Computer Vision Particle Flow}",
    eprint = "2003.08863",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    doi = "10.1140/epjc/s10052-021-08897-0",
    journal = "Eur. Phys. J. C",
    volume = "81",
    number = "2",
    pages = "107",
    year = "2021"
}

%Feb 27 2020
@article{Amram:2020ykb,
    author = "Amram, Oz and Suarez, Cristina Mantilla",
    title = "{Tag N' Train: A Technique to Train Improved Classifiers on Unlabeled Data}",
    eprint = "2002.12376",
      doi="10.1007/JHEP01(2021)153",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "2",
    year = "2020"
}

%Feb 25, 2020
@article{Badger:2020uow,
    author = "Badger, Simon and Bullock, Joseph",
    title = "{Using neural networks for efficient evaluation of high multiplicity scattering amplitudes}",
    eprint = "2002.07516",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IPPP/20/5",
    doi = "10.1007/JHEP06(2020)114",
    journal = "JHEP",
    volume = "06",
    pages = "114",
    year = "2020"
}

%Feb 23, 2020
@article{Du:2019civ,
    author = {Du, Yi-Lun and Zhou, Kai and Steinheimer, Jan and Pang, Long-Gang and Motornenko, Anton and Zong, Hong-Shi and Wang, Xin-Nian and St\"ocker, Horst},
    title = "{Identifying the nature of the QCD transition in relativistic collision of heavy nuclei with deep learning}",
    eprint = "1910.11530",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1140/epjc/s10052-020-8030-7",
    journal = "Eur. Phys. J. C",
    volume = "80",
    number = "6",
    pages = "516",
    year = "2020"
}
@article{Terashi:2020wfi,
    author = "Terashi, Koji and Kaneda, Michiru and Kishimoto, Tomoe and Saito, Masahiko and Sawada, Ryu and Tanaka, Junichi",
    title = "{Event Classification with Quantum Machine Learning in High-Energy Physics}",
    eprint = "2002.09935",
      doi="10.1007/s41781-020-00047-7",
    archivePrefix = "arXiv",
    primaryClass = "physics.comp-ph",
    month = "2",
    year = "2020"
}

%Before Feb. 23 2020
@Article{Yoon:2018krb,
author = "Yoon, Boram and Bhattacharya, Tanmoy and Gupta, Rajan",
title = "{Machine Learning Estimators for Lattice QCD Observables}",
eprint = "1807.05971",
archivePrefix = "arXiv",
primaryClass = "hep-lat",
reportNumber = "LA-UR-18-26411",
doi = "10.1103/PhysRevD.100.014504",
journal = "Phys. Rev. D",
volume = "100",
number = "1",
pages = "014504",
year = "2019"
}

@Article{Zhang:2019qiq,
author = "Zhang, Rui and Fan, Zhouyou and Li, Ruizi and Lin, Huey-Wen and Yoon, Boram",
title = "{Machine-learning prediction for quasiparton distribution function matrix elements}",
eprint = "1909.10990",
archivePrefix = "arXiv",
primaryClass = "hep-lat",
reportNumber = "MSUHEP-19-021",
doi = "10.1103/PhysRevD.101.034516",
journal = "Phys. Rev. D",
volume = "101",
number = "3",
pages = "034516",
year = "2020"
}

@Article{Nguyen:2019gpo,
author = "Nguyen, Nga T. T. and Kenyon, Garrett T. and Yoon, Boram",
title = "{A regression algorithm for accelerated lattice QCD that exploits sparse inference on the D-Wave quantum annealer}",
eprint = "1911.06267",
archivePrefix = "arXiv",
primaryClass = "quant-ph",
reportNumber = "LA-UR-19-31717",
doi = "10.1038/s41598-020-67769-x",
journal = "Sci. Rep.",
volume = "10",
number = "1",
pages = "10915",
year = "2020"
}
@article{Cisbani:2019xta,
    author = "Cisbani, E. and others",
    title = "{AI-optimized detector design for the future Electron-Ion Collider: the dual-radiator RICH case}",
    eprint = "1911.05797",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    reportNumber = "JLAB-PHY-20-3207",
    doi = "10.1088/1748-0221/15/05/P05009",
    journal = "JINST",
    volume = "15",
    number = "05",
    pages = "P05009",
    year = "2020"
}
@article{Fanelli:2019qaq,
    author = "Fanelli, Cristiano and Pomponi, Jary",
    title = "{DeepRICH: Learning Deeply Cherenkov Detectors}",
    eprint = "1911.11717",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    reportNumber = "JLAB-PHY-20-3179",
    doi = "10.1088/2632-2153/ab845a",
    journal = "Mach. Learn. Sci. Tech.",
    volume = "1",
    pages = "015010",
    month = "11",
    year = "2019"
}
@article{Freitas:2019hbk,
    author = "Freitas, Felipe F. and Khosa, Charanjit K. and Sanz, Ver\'onica",
    title = "{Exploring the standard model EFT in VH production with machine learning}",
    eprint = "1902.05803",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1103/PhysRevD.100.035040",
    journal = "Phys. Rev. D",
    volume = "100",
    number = "3",
    pages = "035040",
    year = "2019"
}
@article{Khosa:2019qgp,
    author = "Khosa, Charanjit K. and Mars, Lucy and Richards, Joel and Sanz, Veronica",
    title = "{Convolutional Neural Networks for Direct Detection of Dark Matter}",
    eprint = "1911.09210",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1088/1361-6471/ab8e94",
    journal = "J. Phys. G",
    volume = "47",
    number = "9",
    pages = "095201",
    year = "2020"
}
@article{Khosa:2019kxd,
    author = "Khosa, Charanjit K. and Sanz, Veronica and Soughton, Michael",
    title = "{WIMPs or else? Using Machine Learning to disentangle LHC signatures}",
    eprint = "1910.06058",
      journal="SciPost Phys.",
      volume="10",
      pages="151",
      doi="10.21468/SciPostPhys.10.6.151",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2019"
}

%Feb 10, 2020
@article{Kieseler:2020wcq,
    author = "Kieseler, Jan",
    title = "{Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph and image data}",
    eprint = "2002.03605",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    doi = "10.1140/epjc/s10052-020-08461-2",
    journal = "Eur. Phys. J. C",
    volume = "80",
    number = "9",
    pages = "886",
    year = "2020"
}

% Added many on before April 20, 2020

@article{Coccaro:2019lgs,
    author = "Coccaro, Andrea and Pierini, Maurizio and Silvestrini, Luca and Torre, Riccardo",
    title = "{The DNNLikelihood: enhancing likelihood distribution with Deep Learning}",
    eprint = "1911.03305",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "CERN-TH-2019-187",
    doi = "10.1140/epjc/s10052-020-8230-1",
    journal = "Eur. Phys. J. C",
    volume = "80",
    number = "7",
    pages = "664",
    year = "2020"
}

@article{Zlokapa:2019lvv,
    author = "Zlokapa, Alexander and Mott, Alex and Job, Joshua and Vlimant, Jean-Roch and Lidar, Daniel and Spiropulu, Maria",
    title = "{Quantum adiabatic machine learning with zooming}",
    eprint = "1908.04480",
      doi="10.1103/PhysRevA.102.062405",
    archivePrefix = "arXiv",
    primaryClass = "quant-ph",
    month = "8",
    year = "2019"
}
@article{Mott:2017xdb,
    author = "Mott, Alex and Job, Joshua and Vlimant, Jean Roch and Lidar, Daniel and Spiropulu, Maria",
    title = "{Solving a Higgs optimization problem with quantum annealing for machine learning}",
    doi = "10.1038/nature24047",
    journal = "Nature",
    volume = "550",
    number = "7676",
    pages = "375--379",
    year = "2017"
}
@article{Brehmer:2019jyt,
    author = "Brehmer, Johann and Mishra-Sharma, Siddharth and Hermans, Joeri and Louppe, Gilles and Cranmer, Kyle",
    title = "{Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning}",
    eprint = "1909.02005",
    archivePrefix = "arXiv",
    primaryClass = "astro-ph.CO",
    doi = "10.3847/1538-4357/ab4c41",
    month = "9",
    year = "2019"
}
@article{Erdmann:2019blf,
    author = "Erdmann, Johannes",
    title = "{A tagger for strange jets based on tracking information using long short-term memory}",
    eprint = "1907.07505",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    doi = "10.1088/1748-0221/15/01/P01021",
    journal = "JINST",
    volume = "15",
    number = "01",
    pages = "P01021",
    year = "2020"
}
@article{Dolen:2016kst,
      author         = "Dolen, James and Harris, Philip and Marzani, Simone and
                        Rappoccio, Salvatore and Tran, Nhan",
      title          = "{Thinking outside the ROCs: Designing Decorrelated Taggers (DDT) for jet substructure}",
      journal        = "JHEP",
      volume         = "05",
      year           = "2016",
      pages          = "156",
      doi            = "10.1007/JHEP05(2016)156",
      eprint         = "1603.00027",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ph",
      reportNumber   = "FERMILAB-PUB-16-046-PPD",
      SLACcitation   = "%%CITATION = ARXIV:1603.00027;%%"
}

@article{Moult:2017okx,
    author = "Moult, Ian and Nachman, Benjamin and Neill, Duff",
    title = "{Convolved Substructure: Analytically Decorrelating Jet Substructure Observables}",
    eprint = "1710.06859",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1007/JHEP05(2018)002",
    journal = "JHEP",
    volume = "05",
    pages = "002",
    year = "2018"
}

@article{Sirunyan:2019wwa,
    author = "{CMS Collaboration}",
    title = "{A deep neural network for simultaneous estimation of b jet energy and resolution}",
    eprint = "1912.06046",
      doi="10.1007/s41781-020-00041-z",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "CMS-HIG-18-027, CERN-EP-2019-261",
    month = "12",
    year = "2019"
}

@article{Bradshaw:2019ipy,
      author         = "Bradshaw, Layne and Mishra, Rashmish K. and Mitridate,
                        Andrea and Ostdiek, Bryan",
      title          = "{Mass Agnostic Jet Taggers}",
      year           = "2019",
      eprint         = "1908.08959",
      doi="10.21468/SciPostPhys.8.1.011",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ph",
      SLACcitation   = "%%CITATION = ARXIV:1908.08959;%%"
}

@article{ATL-PHYS-PUB-2018-014,
      title         = "{Performance of mass-decorrelated jet substructure
                       observables for hadronic two-body decay tagging in ATLAS}",
      institution   = "CERN",
      author        = "{ATLAS Collaboration}",
      address       = "Geneva",
      journal        = "ATL-PHYS-PUB-2018-014",
      year          = "2018",
      reportNumber  = "ATL-PHYS-PUB-2018-014",
      url           = "http://cds.cern.ch/record/2630973",
}
@article{DiscoFever,
      author         = "Kasieczka, Gregor and Shih, David",
      title          = "{DisCo Fever: Robust Networks Through Distance Correlation}",
      year           = "2020",
      eprint         = "2001.05310",
      doi="10.1103/PhysRevLett.125.122001",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ph",
      SLACcitation   = "%%CITATION = ARXIV:2001.05310;%%"
}
@article{Xia:2018kgd,
      author         = "Xia, Li-Gang",
      title          = "{QBDT, a new boosting decision tree method with systematical uncertainties into training for High Energy Physics}",
      journal        = "Nucl. Instrum. Meth.",
      volume         = "A930",
      year           = "2019",
      pages          = "15-26",
      doi            = "10.1016/j.nima.2019.03.088",
      eprint         = "1810.08387",
      archivePrefix  = "arXiv",
      primaryClass   = "physics.data-an",
      SLACcitation   = "%%CITATION = ARXIV:1810.08387;%%"
}
@article{Englert:2018cfo,
      author         = "Englert, Christoph and Galler, Peter and Harris, Philip
                        and Spannowsky, Michael",
      title          = "{Machine Learning Uncertainties with Adversarial Neural Networks}",
      journal        = "Eur. Phys. J.",
      volume         = "C79",
      year           = "2019",
      number         = "1",
      pages          = "4",
      doi            = "10.1140/epjc/s10052-018-6511-8",
      eprint         = "1807.08763",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ph",
      reportNumber   = "IPPP/18/61",
      SLACcitation   = "%%CITATION = ARXIV:1807.08763;%%"
}
@article{Goodfellow:2014upx,
      author         = "Goodfellow, Ian J. and Pouget-Abadie, Jean and Mirza,
                        Mehdi and Xu, Bing and Warde-Farley, David and Ozair,
                        Sherjil and Courville, Aaron and Bengio, Yoshua",
      title          = "{Generative Adversarial Networks}",
      year           = "2014",
      eprint         = "1406.2661",
      archivePrefix  = "arXiv",
      primaryClass   = "stat.ML",
      SLACcitation   = "%%CITATION = ARXIV:1406.2661;%%"
}
@article{Wunsch:2019qbo,
      author         = "Wunsch, Stefan and J\'{o}rger, Simon and Wolf, Roger and
                        Quast, Gunter",
      title          = "{Reducing the dependence of the neural network function to systematic uncertainties in the input space}",
      year           = "2019",
      eprint         = "1907.11674",
      doi="10.1007/s41781-020-00037-9",
      archivePrefix  = "arXiv",
      primaryClass   = "physics.data-an",
      SLACcitation   = "%%CITATION = ARXIV:1907.11674;%%"
}
@article{Nguyen:2018ugw,
    author = "Nguyen, Thong Q. and Weitekamp, Daniel and Anderson, Dustin and Castello, Roberto and Cerri, Olmo and Pierini, Maurizio and Spiropulu, Maria and Vlimant, Jean-Roch",
    title = "{Topology classification with deep learning to improve real-time event selection at the LHC}",
    eprint = "1807.00083",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.1007/s41781-019-0028-1",
    journal = "Comput. Softw. Big Sci.",
    volume = "3",
    number = "1",
    pages = "12",
    year = "2019"
}
@article{Paganini:2017dwg,
      author         = "Paganini, Michela and de Oliveira, Luke and Nachman,
                        Benjamin",
      title          = "{CaloGAN : Simulating 3D high energy particle showers in multilayer electromagnetic calorimeters with generative adversarial networks}",
      journal        = "Phys. Rev.",
      volume         = "D97",
      year           = "2018",
      number         = "1",
      pages          = "014021",
      doi            = "10.1103/PhysRevD.97.014021",
      eprint         = "1712.10321",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ex",
      SLACcitation   = "%%CITATION = ARXIV:1712.10321;%%"
}
@article{Butter:2019eyo,
      author         = "Butter, Anja and Plehn, Tilman and Winterhalder, Ramon",
      title          = "{How to GAN Event Subtraction}",
      year           = "2019",
      eprint         = "1912.08824",
      doi="10.21468/SciPostPhysCore.3.2.009",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ph",
      SLACcitation   = "%%CITATION = ARXIV:1912.08824;%%"
}
@article{Martinez:2019jlu,
      author         = "Arjona Martinez, Jesus and Nguyen, Thong Q. and
                        Pierini, Maurizio and Spiropulu, Maria and Vlimant,
                        Jean-Roch",
      title          = "{Particle Generative Adversarial Networks for full-event simulation at the LHC and their application to pileup description}",
      journal      = "{ACAT 2019}",
      year           = "2019",
      eprint         = "1912.02748",
      doi="10.1088/1742-6596/1525/1/012081",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ex",
      SLACcitation   = "%%CITATION = ARXIV:1912.02748;%%"
}
@article{Bellagente:2019uyp,
      author         = "Bellagente, Marco and Butter, Anja and Kasieczka, Gregor
                        and Plehn, Tilman and Winterhalder, Ramon",
      title          = "{How to GAN away Detector Effects}",
      year           = "2019",
      eprint         = "1912.00477",
      doi="10.21468/SciPostPhys.8.4.070",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ph",
      SLACcitation   = "%%CITATION = ARXIV:1912.00477;%%"
}
@article{Vallecorsa:2019ked,
      author         = "Vallecorsa, Sofia and Carminati, Federico and Khattak,
                        Gulrukh",
      title          = "{3D convolutional GAN for fast simulation}",
      journal      = "{Proceedings, 23rd International Conference on Computing
                        in High Energy and Nuclear Physics (CHEP 2018): Sofia,
                        Bulgaria, July 9-13, 2018; EPJ Web Conf.}",
      volume         = "214",
      year           = "2019",
      pages          = "02010",
      doi            = "10.1051/epjconf/201921402010",
      SLACcitation   = "%%CITATION = 00776,214,02010;%%"
}
@article{SHiP:2019gcl,
      author         = "{SHiP Collaboration}",
      title          = "{Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks}",
      year           = "2019",
      eprint         = "1909.04451",
      doi="10.1088/1748-0221/14/11/P11028",
      archivePrefix  = "arXiv",
      primaryClass   = "physics.ins-det",
      SLACcitation   = "%%CITATION = ARXIV:1909.04451;%%"
}
@article{Carrazza:2019cnt,
      author         = "Carrazza, Stefano and Dreyer, Frédéric A.",
      title          = "{Lund jet images from generative and cycle-consistent adversarial networks}",
      journal        = "Eur. Phys. J.",
      volume         = "C79",
      year           = "2019",
      number         = "11",
      pages          = "979",
      doi            = "10.1140/epjc/s10052-019-7501-1",
      eprint         = "1909.01359",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ph",
      reportNumber   = "OUTP-19-09P, TIF-UNIMI-2019-14",
      SLACcitation   = "%%CITATION = ARXIV:1909.01359;%%"
}
@article{Butter:2019cae,
      author         = "Butter, Anja and Plehn, Tilman and Winterhalder, Ramon",
      title          = "{How to GAN LHC Events}",
      journal        = "SciPost Phys.",
      volume         = "7",
      year           = "2019",
      pages          = "075",
      doi            = "10.21468/SciPostPhys.7.6.075",
      eprint         = "1907.03764",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ph",
      SLACcitation   = "%%CITATION = ARXIV:1907.03764;%%"
}
% published Mar. 2019 on arxiv
@article{Domine:2019zhm,
    author = "Domin\'e, Laura and Terao, Kazuhiro",
    collaboration = "DeepLearnPhysics",
    title = "{Scalable deep convolutional neural networks for sparse, locally dense liquid argon time projection chamber data}",
    eprint = "1903.05663",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.1103/PhysRevD.102.012005",
    journal = "Phys. Rev. D",
    volume = "102",
    number = "1",
    pages = "012005",
    year = "2020"
}
@article{Lin:2019htn,
      author         = "Lin, Joshua and Bhimji, Wahid and Nachman, Benjamin",
      title          = "{Machine Learning Templates for QCD Factorization in the Search for Physics Beyond the Standard Model}",
      journal        = "JHEP",
      volume         = "05",
      year           = "2019",
      pages          = "181",
      doi            = "10.1007/JHEP05(2019)181",
      eprint         = "1903.02556",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ph",
      SLACcitation   = "%%CITATION = ARXIV:1903.02556;%%"
}
@article{Hashemi:2019fkn,
      author         = "Hashemi, Bobak and Amin, Nick and Datta, Kaustuv and
                        Olivito, Dominick and Pierini, Maurizio",
      title          = "{LHC analysis-specific datasets with Generative Adversarial Networks}",
      year           = "2019",
      eprint         = "1901.05282",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ex",
      SLACcitation   = "%%CITATION = ARXIV:1901.05282;%%"
}
@article{Chekalina:2018hxi,
      author         = "Chekalina, Viktoria and Orlova, Elena and Ratnikov, Fedor
                        and Ulyanov, Dmitry and Ustyuzhanin, Andrey and Zakharov,
                        Egor",
      title          = "{Generative Models for Fast Calorimeter Simulation.LHCb case}",
      journal      = "{CHEP 2018}",
      year           = "2018",
      eprint         = "1812.01319",
      doi="10.1051/epjconf/201921402034",
      archivePrefix  = "arXiv",
      primaryClass   = "physics.data-an",
      SLACcitation   = "%%CITATION = ARXIV:1812.01319;%%"
}
@article{ATL-SOFT-PUB-2018-001,
      title         = "{Deep generative models for fast shower simulation in ATLAS}",
      institution   = "CERN",
      author        = "{ATLAS Collaboration}",
      address       = "Geneva",
      journal        = "ATL-SOFT-PUB-2018-001",
      month         = "Jul",
      year          = "2018",
      reportNumber  = "ATL-SOFT-PUB-2018-001",
      url           = "http://cds.cern.ch/record/2630433",
}
@article{Zhou:2018ill,
      author         = "Zhou, Kai and Endrodi, Gergely and Pang, Long-Gang and
                        Stocker, Horst",
      title          = "{Regressive and generative neural networks for scalar field theory}",
      journal        = "Phys. Rev.",
      volume         = "D100",
      year           = "2019",
      number         = "1",
      pages          = "011501",
      doi            = "10.1103/PhysRevD.100.011501",
      eprint         = "1810.12879",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-lat",
      SLACcitation   = "%%CITATION = ARXIV:1810.12879;%%"
}
@article{Carminati:2018khv,
      author         = "Carminati, F. and Gheata, A. and Khattak, G. and Mendez
                        Lorenzo, P. and Sharan, S. and Vallecorsa, S.",
      title          = "{Three dimensional Generative Adversarial Networks for fast simulation}",
      journal      = "{Proceedings, 18th International Workshop on Advanced
                        Computing and Analysis Techniques in Physics Research
                        (ACAT 2017): Seattle, WA, USA, August 21-25, 2017; J. Phys. Conf. Ser.}",
      volume         = "1085",
      year           = "2018",
      number         = "3",
      pages          = "032016",
      doi            = "10.1088/1742-6596/1085/3/032016",
      SLACcitation   = "%%CITATION = 00462,1085,032016;%%"
}
@article{Vallecorsa:2018zco,
      author         = "Vallecorsa, S.",
      title          = "{Generative models for fast simulation}",
      journal      = "{Proceedings, 18th International Workshop on Advanced
                        Computing and Analysis Techniques in Physics Research
                        (ACAT 2017): Seattle, WA, USA, August 21-25, 2017; J. Phys. Conf. Ser.}",
      volume         = "1085",
      year           = "2018",
      number         = "2",
      pages          = "022005",
      doi            = "10.1088/1742-6596/1085/2/022005",
      SLACcitation   = "%%CITATION = 00462,1085,022005;%%"
}
@article{Datta:2018mwd,
      author         = "Datta, Kaustuv and Kar, Deepak and Roy, Debarati",
      title          = "{Unfolding with Generative Adversarial Networks}",
      year           = "2018",
      eprint         = "1806.00433",
      archivePrefix  = "arXiv",
      primaryClass   = "physics.data-an",
      SLACcitation   = "%%CITATION = ARXIV:1806.00433;%%"
}
@article{Musella:2018rdi,
      author         = "Musella, Pasquale and Pandolfi, Francesco",
      title          = "{Fast and Accurate Simulation of Particle Detectors Using Generative Adversarial Networks}",
      journal        = "Comput. Softw. Big Sci.",
      volume         = "2",
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    author = "Kasieczka, Gregor and Kiefer, Nicholas and Plehn, Tilman and Thompson, Jennifer M.",
    archivePrefix = "arXiv",
    doi = "10.21468/SciPostPhys.6.6.069",
    eprint = "1812.09223",
    journal = "SciPost Phys.",
    number = "6",
    pages = "069",
    primaryClass = "hep-ph",
    title = "{Quark-Gluon Tagging: Machine Learning vs Detector}",
    volume = "6",
    year = "2019"
}
@article{Butter:2017cot,
    author = "Butter, Anja and Kasieczka, Gregor and Plehn, Tilman and Russell, Michael",
    archivePrefix = "arXiv",
    doi = "10.21468/SciPostPhys.5.3.028",
    eprint = "1707.08966",
    journal = "SciPost Phys.",
    number = "3",
    pages = "028",
    primaryClass = "hep-ph",
    title = "{Deep-learned Top Tagging with a Lorentz Layer}",
    volume = "5",
    year = "2018"
}
@article{Kasieczka:2017nvn,
    author = "Kasieczka, Gregor and Plehn, Tilman and Russell, Michael and Schell, Torben",
    archivePrefix = "arXiv",
    doi = "10.1007/JHEP05(2017)006",
    eprint = "1701.08784",
    journal = "JHEP",
    pages = "006",
    primaryClass = "hep-ph",
    reportNumber = "MCNET-17-07",
    title = "{Deep-learning Top Taggers or The End of QCD?}",
    volume = "05",
    year = "2017"
}
@article{Chen:2019uar,
    author = "Chen, Yu-Chen Janice and Chiang, Cheng-Wei and Cottin, Giovanna and Shih, David",
    archivePrefix = "arXiv",
    doi = "10.1103/PhysRevD.101.053001",
    eprint = "1908.08256",
    journal = "Phys. Rev. D",
    number = "5",
    pages = "053001",
    primaryClass = "hep-ph",
    title = "{Boosted $W$ and $Z$ tagging with jet charge and deep learning}",
    volume = "101",
    year = "2020"
}
@article{Macaluso:2018tck,
    author = "Macaluso, Sebastian and Shih, David",
    archivePrefix = "arXiv",
    doi = "10.1007/JHEP10(2018)121",
    eprint = "1803.00107",
    journal = "JHEP",
    pages = "121",
    primaryClass = "hep-ph",
    title = "{Pulling Out All the Tops with Computer Vision and Deep Learning}",
    volume = "10",
    year = "2018"
}
@article{Brehmer:2020vwc,
    author = "Brehmer, Johann and Cranmer, Kyle",
    archivePrefix = "arXiv",
    eprint = "2003.13913",
    month = "3",
    primaryClass = "stat.ML",
    title = "{Flows for simultaneous manifold learning and density estimation}",
    year = "2020"
}
@article{Brehmer:2019xox,
    author = "Brehmer, Johann and Kling, Felix and Espejo, Irina and Cranmer, Kyle",
    archivePrefix = "arXiv",
    doi = "10.1007/s41781-020-0035-2",
    eprint = "1907.10621",
    journal = "Comput. Softw. Big Sci.",
    number = "1",
    pages = "3",
    primaryClass = "hep-ph",
    title = "{MadMiner: Machine learning-based inference for particle physics}",
    volume = "4",
    year = "2020"
}
@article{Brehmer:2018hga,
    author = "Brehmer, Johann and Louppe, Gilles and Pavez, Juan and Cranmer, Kyle",
    archivePrefix = "arXiv",
    doi = "10.1073/pnas.1915980117",
    eprint = "1805.12244",
    journal = "Proc. Nat. Acad. Sci.",
    pages = "201915980",
    primaryClass = "stat.ML",
    title = "{Mining gold from implicit models to improve likelihood-free inference}",
    year = "2020"
}
@article{Cranmer:2015bka,
    author = "Cranmer, Kyle and Pavez, Juan and Louppe, Gilles",
    archivePrefix = "arXiv",
    eprint = "1506.02169",
    month = "6",
    primaryClass = "stat.AP",
    title = "{Approximating Likelihood Ratios with Calibrated Discriminative  Classifiers}",
    year = "2015"
}
@article{Bothmann:2020ywa,
    author = "Bothmann, Enrico and Janßen, Timo and Knobbe, Max and Schmale, Tobias and Schumann, Steffen",
    archivePrefix = "arXiv",
    eprint = "2001.05478",
      doi="10.21468/SciPostPhys.8.4.069",
    month = "1",
    primaryClass = "hep-ph",
    reportNumber = "MCNET-20-02, MCNET-20-01",
    title = "{Exploring phase space with Neural Importance Sampling}",
    year = "2020"
}
@article{Gao:2020zvv,
    author = "Gao, Christina and Höche, Stefan and Isaacson, Joshua and Krause, Claudius and Schulz, Holger",
    archivePrefix = "arXiv",
    doi = "10.1103/PhysRevD.101.076002",
    eprint = "2001.10028",
    journal = "Phys. Rev. D",
    number = "7",
    pages = "076002",
    primaryClass = "hep-ph",
    reportNumber = "FERMILAB-PUB-20-009-SCD-T, MCNET-20-03",
    title = "{Event Generation with Normalizing Flows}",
    volume = "101",
    year = "2020"
}
@article{Gao:2020vdv,
    author = "Gao, Christina and Isaacson, Joshua and Krause, Claudius",
    archivePrefix = "arXiv",
    eprint = "2001.05486",
      doi="10.1088/2632-2153/abab62",
    month = "1",
    primaryClass = "physics.comp-ph",
    reportNumber = "FERMILAB-PUB-20-010-T",
    title = "{i-flow: High-Dimensional Integration and Sampling with Normalizing Flows}",
    year = "2020"
}
@article{Klimek:2018mza,
    author = "Klimek, Matthew D. and Perelstein, Maxim",
    archivePrefix = "arXiv",
    eprint = "1810.11509",
      doi="10.21468/SciPostPhys.9.4.053",
    month = "10",
    primaryClass = "hep-ph",
    title = "{Neural Network-Based Approach to Phase Space Integration}",
    year = "2018"
}
@article{Carrazza:2020rdn,
    author = "Carrazza, Stefano and Cruz-Martinez, Juan M.",
    archivePrefix = "arXiv",
    eprint = "2002.12921",
      doi="10.1016/j.cpc.2020.107376",
    month = "2",
    primaryClass = "physics.comp-ph",
    reportNumber = "TIF-UNIMI-2020-8",
    title = "{VegasFlow: accelerating Monte Carlo simulation across multiple hardware platforms}",
    year = "2020"
}
@article{deCastro:2018mgh,
    author = "De Castro, Pablo and Dorigo, Tommaso",
    archivePrefix = "arXiv",
    doi = "10.1016/j.cpc.2019.06.007",
    eprint = "1806.04743",
    journal = "Comput. Phys. Commun.",
    pages = "170--179",
    primaryClass = "stat.ML",
    title = "{INFERNO: Inference-Aware Neural Optimisation}",
    volume = "244",
    year = "2019"
}
@article{Wunsch:2020iuh,
    author = "Wunsch, Stefan and Jörger, Simon and Wolf, Roger and Quast, Günter",
    archivePrefix = "arXiv",
    eprint = "2003.07186",
      doi="10.1007/s41781-020-00049-5",
    month = "3",
    primaryClass = "physics.data-an",
    title = "{Optimal statistical inference in the presence of systematic uncertainties using neural network optimization based on binned Poisson likelihoods with nuisance parameters}",
    year = "2020"
}
@article{Bishara:2019iwh,
    author = "Bishara, Fady and Montull, Marc",
    archivePrefix = "arXiv",
    eprint = "1912.11055",
      journal="Phys.Rev.D",
      volume="107",
      pages="L071901",
      doi="10.1103/PhysRevD.107.L071901",
    month = "12",
    primaryClass = "hep-ph",
    reportNumber = "DESY-19-232",
    title = "{(Machine) Learning Amplitudes for Faster Event Generation}",
    year = "2019"
}
@article{Aad:2019yxi,
    author = "{ATLAS Collaboration}",
    archivePrefix = "arXiv",
    doi = "10.1016/j.physletb.2019.135145",
    eprint = "1908.06765",
    journal = "Phys. Lett. B",
    pages = "135145",
    primaryClass = "hep-ex",
    reportNumber = "CERN-EP-2019-143",
    title = "{Search for non-resonant Higgs boson pair production in the $bb\ell\nu\ell\nu$ final state with the ATLAS detector in $pp$ collisions at $\sqrt{s} = 13$ TeV}",
    volume = "801",
    year = "2020"
}
@article{Aad:2020hzm,
    author = "{ATLAS Collaboration}",
    archivePrefix = "arXiv",
    eprint = "2004.01678",
      doi="10.1103/PhysRevLett.125.221802",
    month = "4",
    primaryClass = "hep-ex",
    reportNumber = "CERN-EP-2020-033",
    title = "{Search for Higgs boson decays into a $Z$ boson and a light hadronically decaying resonance using 13 TeV $pp$ collision data from the ATLAS detector}",
    year = "2020"
}
%%%
%%%
%%%

% March 13, 2020
@article{Kanwar:2003.06413,
      key            = "1785309",
      author         = "Kanwar, Gurtej and Albergo, Michael S. and Boyda, Denis
                        and Cranmer, Kyle and Hackett, Daniel C. and Racanière,
                        Sébastien and Rezende, Danilo Jimenez and Shanahan,
                        Phiala E.",
      title          = "{Equivariant flow-based sampling for lattice gauge theory}",
      year           = "2020",
      eprint         = "2003.06413",
      doi="10.1103/PhysRevLett.125.121601",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-lat",
      reportNumber   = "MIT-CTP/5181",
      SLACcitation   = "%%CITATION = ARXIV:2003.06413;%%"
}

% February 11, 2020
@article{Hollingsworth:2020kjg,
      author         = "Hollingsworth, Jacob and Whiteson, Daniel",
      title          = "{Resonance Searches with Machine Learned Likelihood Ratios}",
      year           = "2020",
      eprint         = "2002.04699",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ph",
      SLACcitation   = "%%CITATION = ARXIV:2002.04699;%%"
}

@inproceedings{NEURIPS2020_a878dbeb,
 author = "Shirobokov, Sergey and Belavin, Vladislav and Kagan, Michael and Ustyuzhanin, Andrei and Baydin, Atilim Gunes",
 booktitle = "{Advances in Neural Information Processing Systems}",
 editor = "H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin",
 pages = "14650--14662",
 publisher = "Curran Associates, Inc.",
 title = "{Black-Box Optimization with Local Generative Surrogates}",
 url = "https://proceedings.neurips.cc/paper/2020/hash/a878dbebc902328b41dbf02aa87abb58-Abstract.html",
 volume = "33",
 eprint = "2002.04632",
 archivePrefix = "arXiv",
 primaryClass = "cs.LG",
 month = "Feb",
 year = "2020"
}

% February 3, 2020
@article{Strong:2020mge,
      author         = "Strong, Giles Chatham",
      title          = "{On the impact of modern deep-learning techniques to the performance and time-requirements of classification models in experimental high-energy physics}",
      year           = "2020",
      eprint         = "2002.01427",
      doi="10.1088/2632-2153/ab983a",
      archivePrefix  = "arXiv",
      primaryClass   = "physics.data-an",
      SLACcitation   = "%%CITATION = ARXIV:2002.01427;%%"
}

% December 27, 2019
@article{10.1088/2632-2153/ab9023,
author={CMS Collaboration},
title="{A deep neural network to search for new long-lived particles decaying to jets}",
journal={Machine Learning: Science and Technology},
eprint="1912.12238",
doi="10.1088/2632-2153/ab9023",
year={2020}
}

% December 17, 2019
@article{Bourilkov:2019yoi,
    author = "Bourilkov, Dimitri",
    title = "{Machine and Deep Learning Applications in Particle Physics}",
    eprint = "1912.08245",
    archivePrefix = "arXiv",
    primaryClass = "physics.data-an",
    doi = "10.1142/S0217751X19300199",
    journal = "Int. J. Mod. Phys. A",
    volume = "34",
    number = "35",
    pages = "1930019",
    year = "2020"
}

% December 9, 2019
@article{Romao:2019dvs,
    author = "Romão Crispim, M. and Castro, N.F. and Pedro, R. and Vale, T.",
    archivePrefix = "arXiv",
    doi = "10.1103/PhysRevD.101.035042",
    eprint = "1912.04220",
    journal = "Phys.\ Rev.\ D",
    number = "3",
    pages = "035042",
    primaryClass = "hep-ph",
    title = "{Transferability of Deep Learning Models in Searches for New Physics at Colliders}",
    volume = "101",
    year = "2020"
}

% November 20, 2019
@article{Andreassen:2019cjw,
    author = "Andreassen, Anders and Komiske, Patrick T. and Metodiev, Eric M. and Nachman, Benjamin and Thaler, Jesse",
    title = "{OmniFold: A Method to Simultaneously Unfold All Observables}",
    eprint = "1911.09107",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MIT-CTP 5155",
    doi = "10.1103/PhysRevLett.124.182001",
    journal = "Phys. Rev. Lett.",
    volume = "124",
    number = "18",
    pages = "182001",
    year = "2020"
}

% October 18, 2019
@article{Nachman:2019yfl,
      author         = "Nachman, Benjamin and Shimmin, Chase",
      title          = "{AI Safety for High Energy Physics}",
      year           = "2019",
      eprint         = "1910.08606",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ph",
      SLACcitation   = "%%CITATION = ARXIV:1910.08606;%%"
}

% May 28, 2019
@article{Borisyak:2019vbz,
      author         = "Borisyak, Maxim and Kazeev, Nikita",
      title          = "{Machine Learning on data with sPlot background subtraction}",
      year           = "2019",
      eprint         = "1905.11719",
      doi="10.1088/1748-0221/14/08/P08020",
      archivePrefix  = "arXiv",
      primaryClass   = "cs.LG",
      SLACcitation   = "%%CITATION = ARXIV:1905.11719;%%"
}

% May 19, 2019
@article{Caron:2019xkx,
      author         = "Caron, Sascha and Heskes, Tom and Otten, Sydney and
                        Stienen, Bob",
      title          = "{Constraining the Parameters of High-Dimensional Models with Active Learning}",
      journal        = "Eur. Phys. J.",
      volume         = "C79",
      year           = "2019",
      number         = "11",
      pages          = "944",
      doi            = "10.1140/epjc/s10052-019-7437-5",
      eprint         = "1905.08628",
      archivePrefix  = "arXiv",
      primaryClass   = "cs.LG",
      SLACcitation   = "%%CITATION = ARXIV:1905.08628;%%"
}

% March 6, 2019
@article{DiSipio:2019imz,
      author         = "Di Sipio, Riccardo and Faucci Giannelli, Michele and
                        Ketabchi Haghighat, Sana and Palazzo, Serena",
      title          = "{DijetGAN: A Generative-Adversarial Network Approach for the Simulation of QCD Dijet Events at the LHC}",
      year           = "2019",
      eprint         = "1903.02433",
      doi="10.1007/JHEP08(2019)110",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ex",
      SLACcitation   = "%%CITATION = ARXIV:1903.02433;%%"
}

% February 19, 2019
@article{Datta:2019,
      key            = "1720832",
      author         = "Datta, Kaustuv and Larkoski, Andrew and Nachman,
                        Benjamin",
      title          = "{Automating the Construction of Jet Observables with Machine Learning}",
      year           = "2019",
      eprint         = "1902.07180",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ph",
      SLACcitation   = "%%CITATION = ARXIV:1902.07180;%%"
}

% Januray 17, 2019
@article{Ren:2019xhp,
    author = "Ren, Jie and Wu, Lei and Yang, Jin Min",
    title = "{Unveiling CP property of top-Higgs coupling with graph neural networks at the LHC}",
    eprint = "1901.05627",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1016/j.physletb.2020.135198",
    journal = "Phys. Lett. B",
    volume = "802",
    pages = "135198",
    year = "2020"
}

%November 30, 2018
@article{Alonso-Monsalve:2018aqs,
    author = "Alonso-Monsalve, Saúl and Whitehead, Leigh H.",
    title = "{Image-based model parameter optimization using Model-Assisted Generative Adversarial Networks}",
    eprint = "1812.00879",
    archivePrefix = "arXiv",
    primaryClass = "cs.CV",
    doi = "10.1109/TNNLS.2020.2969327",
    month = "11",
    year = "2018"
}

% August 22, 2018
@article{Adams:2018bvi,
      author         = "{MicroBooNE Collaboration}",
      title          = "{Deep neural network for pixel-level electromagnetic particle identification in the MicroBooNE liquid argon time projection chamber}",
      journal        = "Phys. Rev.",
      volume         = "D99",
      year           = "2019",
      number         = "9",
      pages          = "092001",
      doi            = "10.1103/PhysRevD.99.092001",
      eprint         = "1808.07269",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ex",
      reportNumber   = "FERMILAB-PUB-18-231-ND",
      SLACcitation   = "%%CITATION = ARXIV:1808.07269;%%"
}

% August 2, 2018
@article{Stoye:2018ovl,
      author         = "Stoye, Markus and Brehmer, Johann and Louppe, Gilles and
                        Pavez, Juan and Cranmer, Kyle",
      title          = "{Likelihood-free inference with an improved cross-entropy estimator}",
      year           = "2018",
      eprint         = "1808.00973",
      archivePrefix  = "arXiv",
      primaryClass   = "stat.ML",
      SLACcitation   = "%%CITATION = ARXIV:1808.00973;%%"
}

% August 2, 2018
@article{Bourgeois:2018nvk,
      author         = "Bourgeois, Dylan and Fitzpatrick, Conor and Stahl,
                        Sascha",
      title          = "{Using holistic event information in the trigger}",
      year           = "2018",
      eprint         = "1808.00711",
      archivePrefix  = "arXiv",
      primaryClass   = "physics.ins-det",
      reportNumber   = "LHCb-PUB-2018-010",
      SLACcitation   = "%%CITATION = ARXIV:1808.00711;%%"
}

% July 31, 2018
@article{Andrews:2018nwy,
      author         = "Andrews, Michael and Paulini, Manfred and Gleyzer, Sergei
                        and Poczos, Barnabas",
      title          = "{End-to-End Physics Event Classification with the CMS Open Data: Applying Image-based Deep Learning on Detector Data to Directly Classify Collision Events at the LHC}",
      year           = "2018",
      eprint         = "1807.11916",
      doi="10.1007/s41781-020-00038-8",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ex",
      SLACcitation   = "%%CITATION = ARXIV:1807.11916;%%"
}

% July 27, 2018
@article{Lin:2018cin,
    author = "Lin, Joshua and Freytsis, Marat and Moult, Ian and Nachman, Benjamin",
    title = "{Boosting $H\to b\bar b$ with Machine Learning}",
    eprint = "1807.10768",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1007/JHEP10(2018)101",
    journal = "JHEP",
    volume = "10",
    pages = "101",
    year = "2018"
}

% July 24, 2018
@article{Abdughani:2018wrw,
    author = "Abdughani, Murat and Ren, Jie and Wu, Lei and Yang, Jin Min",
    title = "{Probing stop pair production at the LHC with graph neural networks}",
    eprint = "1807.09088",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1007/JHEP08(2019)055",
    journal = "JHEP",
    volume = "08",
    pages = "055",
    year = "2019"
}

% July 23, 2018
@article{Keck:2018lcd,
    author = "Keck, T. and others",
    title = "{The Full Event Interpretation}: {An Exclusive Tagging Algorithm for the Belle II Experiment}",
    eprint = "1807.08680",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "DESY-19-048",
    doi = "10.1007/s41781-019-0021-8",
    journal = "Comput. Softw. Big Sci.",
    volume = "3",
    number = "1",
    pages = "6",
    year = "2019"
}

% July 8, 2018
@article{Albertsson:2018maf,
      author         = "Albertsson, Kim and others",
      title          = "{Machine Learning in High Energy Physics Community White Paper}",
      year           = "2018",
      eprint         = "1807.02876",
      doi="10.1088/1742-6596/1085/2/022008",
      archivePrefix  = "arXiv",
      primaryClass   = "physics.comp-ph",
      reportNumber   = "FERMILAB-PUB-18-318-CD-DI-PPD",
      SLACcitation   = "%%CITATION = ARXIV:1807.02876;%%"
}

% June 29, 2018
@article{Guest:2018yhq,
      author         = "Guest, Dan and Cranmer, Kyle and Whiteson, Daniel",
      title          = "{Deep Learning and its Application to LHC Physics}",
      year           = "2018",
      eprint         = "1806.11484",
      doi="10.1146/annurev-nucl-101917-021019",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ex",
      SLACcitation   = "%%CITATION = ARXIV:1806.11484;%%"
}

% April 30, 2018
@article{Brehmer:2018kdj,
author         = "Brehmer, Johann and Cranmer, Kyle and Louppe, Gilles and
                  Pavez, Juan",
title          = "{Constraining Effective Field Theories with Machine Learning}",
year           = "2018",
eprint         = "1805.00013",
      doi="10.1103/PhysRevLett.121.111801",
archivePrefix  = "arXiv",
primaryClass   = "hep-ph",
SLACcitation   = "%%CITATION = ARXIV:1805.00013;%%"
}

% April 30, 2018
@article{Brehmer:2018eca,
author         = "Brehmer, Johann and Cranmer, Kyle and Louppe, Gilles and
                  Pavez, Juan",
title          = "{A Guide to Constraining Effective Field Theories with Machine Learning}",
year           = "2018",
eprint         = "1805.00020",
      doi="10.1103/PhysRevD.98.052004",
archivePrefix  = "arXiv",
primaryClass   = "hep-ph",
SLACcitation   = "%%CITATION = ARXIV:1805.00020;%%"
}

% March 9, 2018
@article{Chien:2018dfn,
    author = "Chien, Yang-Ting and Kunnawalkam Elayavalli, Raghav",
    title = "{Probing heavy ion collisions using quark and gluon jet substructure}",
    eprint = "1803.03589",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MIT-CTP 4947, WSU-HEP 1802, MIT-CTP-4947, WSU-HEP-1802",
    month = "3",
    year = "2018"
}

% December 19, 2017
@article{Sirunyan:2017ezt,
 author         = "{CMS Collaboration}",
 title          = "{Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV}",
 year           = "2017",
 eprint         = "1712.07158",
      doi="10.1088/1748-0221/13/05/P05011",
 archivePrefix  = "arXiv",
 primaryClass   = "physics.ins-det",
 reportNumber   = "CMS-BTV-16-002, CERN-EP-2017-326",
 SLACcitation   = "%%CITATION = ARXIV:1712.07158;%%"
}

% December 8, 2017
@conference{Estrade:DLPS2017,
 author         = "Victor Estrade and Cecile Germain and Isabelle Guyon and David Rousseau",
 title          = "{Adversarial learning to eliminate systematic errors: a case study in High Energy Physics}",
 journal      = "{Proceedings of the Deep Learning for Physical Sciences Workshop at NIPS (2017)}",
 year           = "2017",
 url            = "https://dl4physicalsciences.github.io/files/nips_dlps_2017_1.pdf"
}

% December 8, 2017
@conference{Weitekamp:DLPS2017,
 author         = "Daniel Weitekamp III and Thong Q. Nguyen and Dustin Anderson and
 Roberto Castello and Maurizio Pierini and Maria Spiropulu and Jean-Roch Vlimant",
 title          = "{Deep topology classifiers for a more efficient trigger selection at the LHC}",
 journal      = "{Proceedings of the Deep Learning for Physical Sciences Workshop at NIPS (2017)}",
 year           = "2017",
 url            = "https://dl4physicalsciences.github.io/files/nips_dlps_2017_3.pdf"
}

% December 8, 2017
@conference{Hertel:DLPS2017,
 author         = "Lars Hertel and Lingge Li and Pierre Baldi and Jianming Bian",
 title          = "{Convolutional Neural Networks for Electron Neutrino and Electron Shower Energy Reconstruction in the NO$\nu$A Detectors}",
 journal      = "{Proceedings of the Deep Learning for Physical Sciences Workshop at NIPS (2017)}",
 year           = "2017",
 url            = "https://dl4physicalsciences.github.io/files/nips_dlps_2017_7.pdf"
}

% December 8, 2017
@conference{Stoye:DLPS2017,
 author         = "Markus Stoye and Jan Kieseler and Mauro Verzetti and Huilin Qu and Loukas Gouskos and Anna Stakia and {CMS Collaboration}",
 title          = "{DeepJet: Generic physics object based jet multiclass classification for LHC experiments}",
 journal      = "{Proceedings of the Deep Learning for Physical Sciences Workshop at NIPS (2017)}",
 year           = "2017",
 url            = "https://dl4physicalsciences.github.io/files/nips_dlps_2017_10.pdf"
}

% December 8, 2017
@conference{Hooberman:DLPS2017,
 author         = "Benjamin Hooberman and Amir Farbin and Gulrukh Khattak and Vit{\'o}ria Pacela
 and Maurizio Pierini and Jean-Roch Vlimant and Maria Spiropulu and Wei Wei and Matt Zhang
 and Sofia Vallecorsa",
 title          = "{Calorimetry with Deep Learning: Particle Classification, Energy Regression, and Simulation for High-Energy Physics}",
 journal      = "{Proceedings of the Deep Learning for Physical Sciences Workshop at NIPS (2017)}",
 year           = "2017",
 url            = "https://dl4physicalsciences.github.io/files/nips_dlps_2017_15.pdf"
}

% December 8, 2017
@conference{Paganini:DLPS2017,
 author         = "Paganini, Michela and de Oliveira, Luke and Nachman,
 Benjamin",
 title          = "{Survey of Machine Learning Techniques for High Energy Electromagnetic Shower Classification}",
 journal      = "{Proceedings of the Deep Learning for Physical Sciences Workshop at NIPS (2017)}",
 year           = "2017",
 url            = "https://dl4physicalsciences.github.io/files/nips_dlps_2017_24.pdf"
}

% December 8, 2017
@conference{Oliveira:DLPS2017,
 author         = "de Oliveira, Luke and Paganini, Michela and Nachman, Benjamin",
 title          = "{Tips and Tricks for Training GANs with Physics Constraints}",
 journal      = "{Proceedings of the Deep Learning for Physical Sciences Workshop at NIPS (2017)}",
 year           = "2017",
 url            = "https://dl4physicalsciences.github.io/files/nips_dlps_2017_26.pdf"
}

% December 8, 2017
@conference{Farrell:DLPS2017,
 author         = "Steven Farrell and Paolo Calafiura and Mayur Mudigonda and Prabhat
 and Dustin Anderson and Josh Bendavid and Maria Spiropoulou and Jean-Roch Vlimant
 and Stephan Zheng and Giuseppe Cerati and Lindsey Gray and Jim Kowalkowski
 and Panagiotis Spentzouris and Aristeidis Tsaris and Daniel Zurawski",
 title          = "{Particle Track Reconstruction with Deep Learning}",
 journal      = "{Proceedings of the Deep Learning for Physical Sciences Workshop at NIPS (2017)}",
 year           = "2017",
 url            = "https://dl4physicalsciences.github.io/files/nips_dlps_2017_28.pdf"
}

% December 8, 2017
@conference{Henrion:DLPS2017,
 author         = "Isaac Henrion and Kyle Cranmer and Joan Bruna and Kyunghyun Cho
 and Johann Brehmer and Gilles Louppe and Gaspar Rochette",
 title          = "{Neural Message Passing for Jet Physics}",
 journal      = "{Proceedings of the Deep Learning for Physical Sciences Workshop at NIPS (2017)}",
 year           = "2017",
 url            = "https://dl4physicalsciences.github.io/files/nips_dlps_2017_29.pdf"
}

% 2017-11-23
@article{Bevan:2017stx,
 author = "Bevan, Adrian and Go~ni, Rodrigo Gamboa and Stevenson, Tom and Stevenson, Tom",
 editor = "Mount, Richard and Tull, Craig",
 title = "{Support vector machines and generalisation in HEP}",
 eprint = "1702.04686",
 archivePrefix = "arXiv",
 primaryClass = "physics.data-an",
 doi = "10.1088/1742-6596/898/7/072021",
 journal = "J. Phys. Conf. Ser.",
 volume = "898",
 number = "7",
 pages = "072021",
 year = "2017"
}

% November 7, 2017
@article{Cheng:2017rdo,
 author         = "Cheng, Taoli",
 title          = "{Recursive Neural Networks in Quark/Gluon Tagging}",
 year           = "2017",
 eprint         = "1711.02633",
      doi="10.1007/s41781-018-0007-y",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ph",
 SLACcitation   = "%%CITATION = ARXIV:1711.02633;%%"
}

% September 28, 2017
@article{Chang:2017kvc,
  author         = "Chang, Spencer and Cohen, Timothy and Ostdiek, Bryan",
  title          = "{What is the Machine Learning?}",
  journal        = "Phys. Rev.",
  volume         = "D97",
  year           = "2018",
  number         = "5",
  pages          = "056009",
  doi            = "10.1103/PhysRevD.97.056009",
  eprint         = "1709.10106",
  archivePrefix  = "arXiv",
  primaryClass   = "hep-ph",
  SLACcitation   = "%%CITATION = ARXIV:1709.10106;%%"
}

% September 17, 2017
@article{Frate:2017mai,
 author         = "Frate, Meghan and Cranmer, Kyle and Kalia, Saarik and
 Vandenberg-Rodes, Alexander and Whiteson, Daniel",
 title          = "{Modeling Smooth Backgrounds and Generic Localized Signals with Gaussian Processes}",
 year           = "2017",
 eprint         = "1709.05681",
 archivePrefix  = "arXiv",
 primaryClass   = "physics.data-an",
 SLACcitation   = "%%CITATION = ARXIV:1709.05681;%%"
}

% August 9, 2017
@article{Metodiev:2017vrx,
    author = "Metodiev, Eric M. and Nachman, Benjamin and Thaler, Jesse",
    title = "{Classification without labels: Learning from mixed samples in high energy physics}",
    eprint = "1708.02949",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "MIT--CTP-4922",
    doi = "10.1007/JHEP10(2017)174",
    journal = "JHEP",
    volume = "10",
    pages = "174",
    year = "2017"
}

% June 30, 2017
@article{Bendavid:2017zhk,
 author         = "Bendavid, Joshua",
 title          = "{Efficient Monte Carlo Integration Using Boosted Decision
 Trees and Generative Deep Neural Networks}",
 year           = "2017",
 eprint         = "1707.00028",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ph",
}

% June 28, 2017
@article{Cohen:2017exh,
 author         = "Cohen, Timothy and Freytsis, Marat and Ostdiek, Bryan",
 title          = "{(Machine) Learning to Do More with Less}",
 year           = "2017",
 eprint         = "1706.09451",
      doi="10.1007/JHEP02(2018)034",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ph",
}

% May 5, 2017
@article{Paganini:2017hrr,
    author = "Paganini, Michela and de Oliveira, Luke and Nachman, Benjamin",
    title = "{Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multilayer Calorimeters}",
    eprint = "1705.02355",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    doi = "10.1103/PhysRevLett.120.042003",
    journal = "Phys. Rev. Lett.",
    volume = "120",
    number = "4",
    pages = "042003",
    year = "2018"
}

% April 24, 2017
@article{Caron:2017hku,
 author = {Caron, Sascha and Kim, Jong Soo and Rolbiecki, Krzysztof and de Austri, Roberto Ruiz and Stienen, Bob},
 doi = "10.1140/epjc/s10052-017-4814-9",
 issn = {1434-6052},
 journal = {The European Physical Journal C},
 number = {4},
 pages = {257},
 title = "{The BSM-AI project: SUSY-AI--generalizing LHC limits on supersymmetry with machine learning}",
 url = {http://dx.doi.org/10.1140/epjc/s10052-017-4814-9},
 volume = {77},
 year = {2017},
 bdsk-url-1 = {http://dx.doi.org/10.1140/epjc/s10052-017-4814-9},
 eprint = "1605.02797",
 archivePrefix = "arXiv",
 primaryClass = "hep-ph",

}

% March 10, 2017
@techreport{ATL-PHYS-PUB-2017-003,
    title = "{Identification of Jets Containing $b$-Hadrons with Recurrent Neural Networks at the ATLAS Experiment}",
    institution   = "CERN",
    author = "{ATLAS Collaboration}",
    address = "Geneva",
    number = "ATL-PHYS-PUB-2017-003",
    reportNumber = "ATL-PHYS-PUB-2017-003",
    month = "Mar",
    year = "2017",
    url = "http://cdsweb.cern.ch/record/2255226"
}

% March 9, 2017
@article{Shimmin:2017mfk,
 author         = "Shimmin, Chase and Sadowski, Peter and Baldi, Pierre and
 Weik, Edison and Whiteson, Daniel and Goul, Edward and
 Søgaard, Andreas",
 title          = "{Decorrelated Jet Substructure Tagging using Adversarial Neural Networks}",
 year           = "2017",
 eprint         = "1703.03507",
      doi="10.1103/PhysRevD.96.074034",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ex",
}

% February 2, 2017
@article{Louppe:2017ipp,
 author         = "Louppe, Gilles and Cho, Kyunghyun and Becot, Cyril and
 Cranmer, Kyle",
 title          = "{QCD-Aware Recursive Neural Networks for Jet Physics}",
 year           = "2017",
 eprint         = "1702.00748",
      doi="10.1007/JHEP01(2019)057",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ph",
}

% February 1, 2017
@article{Dery:2017fap,
 author         = "Dery, Lucio Mwinmaarong and Nachman, Benjamin and Rubbo,
 Francesco and Schwartzman, Ariel",
 title          = "{Weakly Supervised Classification in High Energy Physics}",
 journal        = "JHEP",
 volume         = "05",
 year           = "2017",
 pages          = "145",
 doi            = "10.1007/JHEP05(2017)145",
 eprint         = "1702.00414",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ph",
}

% January 20, 2017
@article{deOliveira:2017pjk,
 author         = "de Oliveira, Luke and Paganini, Michela and Nachman,
 Benjamin",
 title          = "{Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis}",
 year           = "2017",
 eprint         = "1701.05927",
      doi="10.1007/s41781-017-0004-6",
 archivePrefix  = "arXiv",
 primaryClass   = "stat.ML",
}

% December 13, 2016
@article{Pang:2016vdc,
    author = {Pang, Long-Gang and Zhou, Kai and Su, Nan and Petersen, Hannah and St\"ocker, Horst and Wang, Xin-Nian},
    title = "{An equation-of-state-meter of quantum chromodynamics transition from deep learning}",
    eprint = "1612.04262",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    doi = "10.1038/s41467-017-02726-3",
    journal = "Nature Commun.",
    volume = "9",
    number = "1",
    pages = "210",
    year = "2018"
}

% December 5, 2016
@article{Komiske:2016rsd,
 author         = "Komiske, Patrick T. and Metodiev, Eric M. and Schwartz,
 Matthew D.",
 title          = "{Deep learning in color: towards automated quark/gluon
 jet discrimination}",
 journal        = "JHEP",
 volume         = "01",
 year           = "2017",
 pages          = "110",
 doi            = "10.1007/JHEP01(2017)110",
 eprint         = "1612.01551",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ph",
 reportNumber   = "MIT-CTP-4866",
}

% November 16, 2016
@article{Acciarri:2016ryt,
 author         = "{MicroBooNE Collaboration}",
 title          = "{Convolutional Neural Networks Applied to Neutrino Events in a Liquid Argon Time Projection Chamber}",
 journal        = "JINST",
 volume         = "12",
 year           = "2017",
 number         = "03",
 pages          = "P03011",
 doi            = "10.1088/1748-0221/12/03/P03011",
 eprint         = "1611.05531",
 archivePrefix  = "arXiv",
 primaryClass   = "physics.ins-det",
 reportNumber   = "FERMILAB-PUB-16-538-ND",
}

% November 8, 2016
@article{Bertone:2016mdy,
 author         = "Bertone, Gianfranco and Deisenroth, Marc Peter and Kim,
 Jong Soo and Liem, Sebastian and Ruiz de Austri, Roberto
 and Welling, Max",
 title          = "{Accelerating the BSM interpretation of LHC data with machine learning}",
 year           = "2016",
 eprint         = "1611.02704",
      doi="10.1016/j.dark.2019.100293",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ph",
}

% November 3, 2016
@inproceedings{Louppe:2016ylz,
 author = "Louppe, Gilles and Kagan, Michael and Cranmer, Kyle",
 booktitle = "{Advances in Neural Information Processing Systems}",
 editor = "I. Guyon and U. V. Luxburg and S. Bengio and H. Wallach and R. Fergus and S. Vishwanathan and R. Garnett",
 publisher = "Curran Associates, Inc.",
 title = "{Learning to Pivot with Adversarial Networks}",
 url = "https://papers.nips.cc/paper/2017/hash/48ab2f9b45957ab574cf005eb8a76760-Abstract.html",
 volume = "30",
 year = "2017",
 eprint         = "1611.01046",
 archivePrefix  = "arXiv",
 primaryClass   = "stat.ME",
}

% September 2, 2016
@article{Barnard:2016qma,
 author         = "Barnard, James and Dawe, Edmund Noel and Dolan, Matthew
 J. and Rajcic, Nina",
 title          = "{Parton Shower Uncertainties in Jet Substructure Analyses with Deep Neural Networks}",
 journal        = "Phys. Rev.",
 volume         = "D95",
 year           = "2017",
 number         = "1",
 pages          = "014018",
 doi            = "10.1103/PhysRevD.95.014018",
 eprint         = "1609.00607",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ph",
}

% August 20, 2016
@article{Rogozhnikov:2016bdp,
 author         = "Rogozhnikov, A.",
 title          = "{Reweighting with Boosted Decision Trees}",
 journal      = "{Proceedings, 17th International Workshop on Advanced
  Computing and Analysis Techniques in Physics Research
 (ACAT 2016): Valparaiso, Chile, January 18-22, 2016; J. Phys. Conf. Ser.}",
 volume         = "762",
 year           = "2016",
 number         = "1",
 pages          = "012036",
 doi            = "10.1088/1742-6596/762/1/012036",
 eprint         = "1608.05806",
 archivePrefix  = "arXiv",
 primaryClass   = "physics.data-an",
 SLACcitation   = "%%CITATION = ARXIV:1608.05806;%%"
}

% July 28, 2016
@article{Guest:2016iqz,
      author         = "Guest, Daniel and Collado, Julian and Baldi, Pierre and
                        Hsu, Shih-Chieh and Urban, Gregor and Whiteson, Daniel",
      title          = "{Jet Flavor Classification in High-Energy Physics with Deep Neural Networks}",
      journal        = "Phys. Rev.",
      volume         = "D94",
      year           = "2016",
      number         = "11",
      pages          = "112002",
      doi            = "10.1103/PhysRevD.94.112002",
      eprint         = "1607.08633",
      archivePrefix  = "arXiv",
      primaryClass   = "hep-ex",
      SLACcitation   = "%%CITATION = ARXIV:1607.08633;%%"
}

% April 5, 2016
@article{Aurisano:2016jvx,
 author         = "Aurisano, A. and Radovic, A. and Rocco, D. and Himmel, A.
 and Messier, M. D. and Niner, E. and Pawloski, G. and
 Psihas, F. and Sousa, A. and Vahle, P.",
 title          = "{A Convolutional Neural Network Neutrino Event Classifier}",
 journal        = "JINST",
 volume         = "11",
 year           = "2016",
 number         = "09",
 pages          = "P09001",
 doi            = "10.1088/1748-0221/11/09/P09001",
 eprint         = "1604.01444",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ex",
 reportNumber   = "FERMILAB-PUB-16-082-ND",
}

% January 28, 2016
@article{Baldi:2016fzo,
 author         = "Baldi, Pierre and Cranmer, Kyle and Faucett, Taylor and
 Sadowski, Peter and Whiteson, Daniel",
 title          = "{Parameterized neural networks for high-energy physics}",
 journal        = "Eur. Phys. J.",
 volume         = "C76",
 year           = "2016",
 number         = "5",
 pages          = "235",
 doi            = "10.1140/epjc/s10052-016-4099-4",
 eprint         = "1601.07913",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ex",
 SLACcitation   = "%%CITATION = ARXIV:1601.07913;%%"
}

% November 16, 2015
@article{deOliveira:2015xxd,
 author         = "de Oliveira, Luke and Kagan, Michael and Mackey, Lester
 and Nachman, Benjamin and Schwartzman, Ariel",
 title          = "{Jet-images — deep learning edition}",
 journal        = "JHEP",
 volume         = "07",
 year           = "2016",
 pages          = "069",
 doi            = "10.1007/JHEP07(2016)069",
 eprint         = "1511.05190",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ph",
}

@article{Almeida:2015jua,
    author = "Almeida, Leandro G. and Backovi\'c, Mihailo and Cliche, Mathieu and Lee, Seung J. and Perelstein, Maxim",
    title = "{Playing Tag with ANN: Boosted Top Identification with Pattern Recognition}",
    eprint = "1501.05968",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "CP3-15-01",
    doi = "10.1007/JHEP07(2015)086",
    journal = "JHEP",
    volume = "07",
    pages = "086",
    year = "2015"
}

% October 15, 2014
@article{Rogozhnikov:2014zea,
 author         = "Rogozhnikov, Alex and Bukva, Aleksandar and Gligorov, V.
 V. and Ustyuzhanin, Andrey and Williams, Mike",
 title          = "{New approaches for boosting to uniformity}",
 journal        = "JINST",
 volume         = "10",
 year           = "2015",
 number         = "03",
 pages          = "T03002",
 doi            = "10.1088/1748-0221/10/03/T03002",
 eprint         = "1410.4140",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ex",
 SLACcitation   = "%%CITATION = ARXIV:1410.4140;%%"
}

% February 19, 2014
@article{Baldi:2014kfa,
 author         = "Baldi, Pierre and Sadowski, Peter and Whiteson, Daniel",
 title          = "{Searching for Exotic Particles in High-Energy Physics with Deep Learning}",
 journal        = "Nature Commun.",
 volume         = "5",
 year           = "2014",
 pages          = "4308",
 doi            = "10.1038/ncomms5308",
 eprint         = "1402.4735",
 archivePrefix  = "arXiv",
 primaryClass   = "hep-ph",
}

% 2013-09-11
@article{Sforza:2013hua,
 author = "Sforza, Federico and Lippi, Vittorio",
 title = "{Support vector machine classification on a biased training set: Multi-jet background rejection at hadron colliders}",
 eprint = "1407.0317",
 archivePrefix = "arXiv",
 primaryClass = "hep-ex",
 doi = "10.1016/j.nima.2013.04.046",
 journal = "Nucl. Instrum. Meth. A",
 volume = "722",
 pages = "11--19",
 year = "2013"
}

% May 30, 2013
@article{Stevens:2013dya,
 author         = "Stevens, Justin and Williams, Mike",
 title          = "{uBoost: A boosting method for producing uniform selection efficiencies from multivariate classifiers}",
 journal        = "JINST",
 volume         = "8",
 year           = "2013",
 pages          = "P12013",
 doi            = "10.1088/1748-0221/8/12/P12013",
 eprint         = "1305.7248",
 archivePrefix  = "arXiv",
 primaryClass   = "nucl-ex",
 SLACcitation   = "%%CITATION = ARXIV:1305.7248;%%"
}

% October 25, 2012
@article{Gligorov:2012qt,
 author         = "Gligorov, V. V. and Williams, Mike",
 title          = "{Efficient, reliable and fast high-level triggering using a bonsai boosted decision tree}",
 journal        = "JINST",
 volume         = "8",
 year           = "2013",
 pages          = "P02013",
 doi            = "10.1088/1748-0221/8/02/P02013",
 eprint         = "1210.6861",
 archivePrefix  = "arXiv",
 primaryClass   = "physics.ins-det",
 SLACcitation   = "%%CITATION = ARXIV:1210.6861;%%"
}

% September 20, 1987
@article{Denby:1987rk,
 author         = "Denby, Bruce H.",
 title          = "{Neural Networks and Cellular Automata in Experimental High-energy Physics}",
 journal        = "Comput. Phys. Commun.",
 volume         = "49",
 year           = "1988",
 pages          = "429-448",
 doi            = "10.1016/0010-4655(88)90004-5",
 reportNumber   = "LAL-87-56"
}

@misc{hepmllivingreview,
	Author = "{HEP ML Community}",
	title = "{A Living Review of Machine Learning for Particle Physics}",
	url={https://iml-wg.github.io/HEPML-LivingReview/}
}

@article{Moskovic:2021zjs,
    author = "Moskovic, Micha",
    title = "{The INSPIRE REST API}",
    url = "https://github.com/inspirehep/rest-api-doc",
    doi = "10.5281/zenodo.5788550",
    month = "12",
    year = "2021"
}

@article{dummy,
}