HEPML.bib

# HEPML Papers

%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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    month = "7",
    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",
    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",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2022"
}

%June 28, 2022
@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",
    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 $\alpha_S$ extractions}",
    eprint = "2206.10642",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    year = "2022"
}

%June 20, 2022
@inbook{Coadou:2022nsh,
    author = "Coadou, Yann",
    title = "{Boosted decision trees}",
    eprint = "2206.09645",
    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",
    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",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "6",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "5",
    year = "2022"
}

% 2022-03-31
@article{DUNE:2022fiy,
    author = "Abed Abud, Adam and others",
    collaboration = "DUNE",
    title = "{Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network}",
    eprint = "2203.17053",
    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",
    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",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "4",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "3",
    year = "2022"
}

%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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "DESY-22-031",
    month = "2",
    year = "2022"
}

%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",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    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",
    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",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "IFT-UAM/CSIC-22-5",
    month = "1",
    year = "2022"
}
%Jan. 20, 2022
@article{CMS:2022prd,
    author = "Tumasyan, Armen and others",
    collaboration = "CMS",
    title = "{Identification of hadronic tau lepton decays using a deep neural network}",
    eprint = "2201.08458",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    month = "12",
    year = "2021"
}

%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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    archivePrefix = "arXiv",
    primaryClass = "cs.LG",
    month = "11",
    year = "2021"
}

%Nov. 10, 2021
@article{Dolan:2021pml,
    author = "Dolan, Matthew J. and Ore, Ayodele",
    title = "{Meta-learning and data augmentation for mass-generalised jet taggers}",
    eprint = "2111.06047",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "11",
    year = "2021"
}

%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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "JLAB-THY-21-3518",
    month = "10",
    year = "2021"
}
@article{MicroBooNE:2021ojx,
    author = "Abratenko, P. and others",
    collaboration = "MicroBooNE",
    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",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "FERMILAB-PUB-21-509-ND",
    month = "10",
    year = "2021"
}
@article{MicroBooNE:2021nxr,
    author = "Abratenko, P. and others",
    collaboration = "MicroBooNE",
    title = "{Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction}",
    eprint = "2110.13978",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "FERMILAB-PUB-21-503-ND",
    month = "10",
    year = "2021"
}
@article{MicroBooNE:2021jwr,
    author = "Abratenko, P. and others",
    collaboration = "MicroBooNE",
    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",
    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",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "10",
    year = "2021"
}

%October 22, 2021
@article{MicroBooNE:2021nss,
    author = "Abratenko, P. and others",
    collaboration = "MicroBooNE",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "9",
    year = "2021"
}
@inproceedings{Micallef:2021src,
    author = "Micallef, Jessie",
    collaboration = "IceCube",
    title = "{Using Convolutional Neural Networks to Reconstruct Energy of GeV Scale IceCube Neutrinos}",
    eprint = "2109.08152",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "8",
    year = "2021"
}

%Aug 27, 2021
@article{H1:2021wkz,
    author = "Andreev, V. and others",
    collaboration = "H1",
    title = "{Measurement of lepton-jet correlation in deep-inelastic scattering with the H1 detector using machine learning for unfolding}",
    eprint = "2108.12376",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    month = "6",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    archivePrefix = "arXiv",
    primaryClass = "physics.ins-det",
    month = "6",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "3",
    year = "2021"
}
@article{Acciarri:2021oav,
    author = "Acciarri, R. and others",
    collaboration = "ArgoNeuT",
    title = "{A deep-learning based raw waveform region-of-interest finder for the liquid argon time projection chamber}",
    eprint = "2103.06391",
    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",
    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",
    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",
    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",
    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",
    month = "3",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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}",
      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",
    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",
    month = "2",
    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}",
      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={R. Abbasi and others},
      collaboration="IceCube",
      year={2021},
      eprint="{2101.11589}",
      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}",
      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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "1",
    year = "2021"
}

%Jan 8.
@article{Aab:2021rcn,
    author = "Aab, Alexander and others",
    collaboration = "Pierre Auger",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2020"
}
@article{Abratenko:2020ocq,
    author = "Abratenko, P. and others",
    collaboration = "MicroBooNE",
    title = "{Semantic Segmentation with a Sparse Convolutional Neural Network for Event Reconstruction in MicroBooNE}",
    eprint = "2012.08513",
    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",
    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",
    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",
    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",
    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",
    month = "12",
    year = "2020"
}

%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",
    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",
    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",
    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",
    month = "12",
    year = "2020"
}

%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",
    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",
    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",
    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",
    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",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "11",
    year = "2020"
}

%Nov. 18
@article{Akerib:2020aws,
    author = "Akerib, D.S. and others",
    collaboration = "LUX",
    title = "{Improving sensitivity to low-mass dark matter in LUX using a novel electrode background mitigation technique}",
    eprint = "2011.09602",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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",
    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 = "Abratenko, P. and others",
    collaboration = "MicroBooNE",
    title = "{A Convolutional Neural Network for Multiple Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber}",
    eprint = "2010.08653",
    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",
    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",
      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",
    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",
    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",
    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",
    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{2009.03796,
      author="S. Diefenbacher and E. Eren and G. Kasieczka and A. Korol and B. Nachman and D. Shih",
      title="{DCTRGAN: Improving the Precision of Generative Models with Reweighting}",
      eprint="2009.03796",
      archivePrefix = "arXiv",
      primaryClass = "hep-ph",
      journal = "Journal of Instrumentation",
      volume = "15",
      pages = "P11004",
      doi = {10.1088/1748-0221/15/11/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",
    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",
    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",
    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",
      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",
    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",
    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",
    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",
    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",
    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{1808887,
   title="{Graph neural networks in particle physics}",
   volume={2},
   ISSN={2632-2153},
   url={http://dx.doi.org/10.1088/2632-2153/abbf9a},
   doi={10.1088/2632-2153/abbf9a},
   number={2},
   journal={Machine Learning: Science and Technology},
   publisher={IOP Publishing},
   author={Shlomi, Jonathan and Battaglia, Peter and Vlimant, Jean-Roch},
   year={2021},
   month={Jan},
   pages={021001},
   eprint = "2007.13681"
}


%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",
    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",
    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",
    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",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    month = "6",
    year = "2020"
}

% 2020-06-26
@article{DUNE:2020gpm,
    author = "Abi, B. and others",
    collaboration = "DUNE",
    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 = "Sirunyan, Albert M and others",
    collaboration = "CMS",
    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},
      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",
    collaboration = "ATLAS",
    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",
    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",
    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",
    archivePrefix={arXiv},
    primaryClass={stat.ML}
}

%April 26
@article{Aiello:2020orq,
    author = "Aiello, Sebastiano and others",
    archivePrefix = "arXiv",
    collaboration = "KM3NeT",
    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"
}

%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",
    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{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,
	Archiveprefix = {arXiv},
	Author = {Moult, Ian and Nachman, Benjamin and Neill, Duff},
	Doi = {10.1007/JHEP05(2018)002},
	Eprint = {1710.06859},
	Journal = {JHEP},
	Pages = {002},
	Primaryclass = {hep-ph},
	Slaccitation = {%%CITATION = ARXIV:1710.06859;%%},
	title = "{Convolved Substructure: Analytically Decorrelating Jet Substructure Observables}",
	Volume = {05},
	Year = {2018},
	Bdsk-Url-1 = {http://dx.doi.org/10.1007/JHEP05(2018)002}}
@article{Sirunyan:2019wwa,
    author = "Sirunyan, Albert M and others",
    collaboration = "CMS",
    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",
      collaboration = "ATLAS",
      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}",
      journal        = "EPJ Web Conf.",
      volume         = "214",
      year           = "2019",
      pages          = "02010",
      doi            = "10.1051/epjconf/201921402010",
      SLACcitation   = "%%CITATION = 00776,214,02010;%%"
}
@article{SHiP:2019gcl,
      author         = "Ahdida, C. and others",
      title          = "{Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks}",
      collaboration  = "SHiP",
      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
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    eprint = "1902.09914",
    journal = "SciPost Phys.",
    pages = "014",
    primaryClass = "hep-ph",
    title = "{The Machine Learning Landscape of Top Taggers}",
    volume = "7",
    year = "2019"
}
@article{Carrazza:2019efs,
    author = "Carrazza, Stefano and Dreyer, Frédéric A.",
    archivePrefix = "arXiv",
    doi = "10.1103/PhysRevD.100.014014",
    eprint = "1903.09644",
    journal = "Phys. Rev. D",
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    pages = "014014",
    primaryClass = "hep-ph",
    title = "{Jet grooming through reinforcement learning}",
    volume = "100",
    year = "2019"
}
@article{Chakraborty:2019imr,
    author = "Chakraborty, Amit and Lim, Sung Hak and Nojiri, Mihoko M.",
    archivePrefix = "arXiv",
    doi = "10.1007/JHEP07(2019)135",
    eprint = "1904.02092",
    journal = "JHEP",
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    reportNumber = "KEK-TH-2117",
    title = "{Interpretable deep learning for two-prong jet classification with jet spectra}",
    volume = "19",
    year = "2020"
}
@article{Chakraborty:2020yfc,
    author = "Chakraborty, Amit and Lim, Sung Hak and Nojiri, Mihoko M. and Takeuchi, Michihisa",
    archivePrefix = "arXiv",
    eprint = "2003.11787",
      doi="10.1007/JHEP07(2020)111",
    month = "3",
    primaryClass = "hep-ph",
    reportNumber = "KEK-TH-2202",
    title = "{Neural Network-based Top Tagger with Two-Point Energy Correlations and Geometry of Soft Emissions}",
    year = "2020"
}
@article{Kasieczka:2020vlh,
    author = "Kasieczka, Gregor and Luchmann, Michel and Otterpohl, Florian and Plehn, Tilman",
    archivePrefix = "arXiv",
    eprint = "2003.11099",
      doi="10.21468/SciPostPhys.9.6.089",
    month = "3",
    primaryClass = "hep-ph",
    title = "{Per-Object Systematics using Deep-Learned Calibration}",
    year = "2020"
}
@article{Komiske:2019fks,
    author = "Komiske, Patrick T. and Metodiev, Eric M. and Thaler, Jesse",
    archivePrefix = "arXiv",
    doi = "10.1103/PhysRevLett.123.041801",
    eprint = "1902.02346",
    journal = "Phys. Rev. Lett.",
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    reportNumber = "MIT-CTP 5102",
    title = "{Metric Space of Collider Events}",
    volume = "123",
    year = "2019"
}
@article{Komiske:2018vkc,
    author = "Komiske, Patrick T. and Metodiev, Eric M. and Thaler, Jesse",
    archivePrefix = "arXiv",
    doi = "10.1007/JHEP11(2018)059",
    eprint = "1809.01140",
    journal = "JHEP",
    pages = "059",
    primaryClass = "hep-ph",
    reportNumber = "MIT-CTP 5042",
    title = "{An operational definition of quark and gluon jets}",
    volume = "11",
    year = "2018"
}
@article{Komiske:2017aww,
    author = "Komiske, Patrick T. and Metodiev, Eric M. and Thaler, Jesse",
    archivePrefix = "arXiv",
    doi = "10.1007/JHEP04(2018)013",
    eprint = "1712.07124",
    journal = "JHEP",
    pages = "013",
    primaryClass = "hep-ph",
    reportNumber = "MIT-CTP-4965",
    title = "{Energy flow polynomials: A complete linear basis for jet substructure}",
    volume = "04",
    year = "2018"
}
@article{Metodiev:2018ftz,
    author = "Metodiev, Eric M. and Thaler, Jesse",
    archivePrefix = "arXiv",
    doi = "10.1103/PhysRevLett.120.241602",
    eprint = "1802.00008",
    journal = "Phys. Rev. Lett.",
    number = "24",
    pages = "241602",
    primaryClass = "hep-ph",
    reportNumber = "MIT-CTP-4979",
    title = "{Jet Topics: Disentangling Quarks and Gluons at Colliders}",
    volume = "120",
    year = "2018"
}
@article{Sirunyan:2020lcu,
    author = "Sirunyan, Albert M and others",
    collaboration = "CMS",
    title = "{Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques}",
    eprint = "2004.08262",
    archivePrefix = "arXiv",
    primaryClass = "hep-ex",
    reportNumber = "FERMILAB-PUB-20-191-CMS, CMS-JME-18-002, CERN-EP-2020-037",
    doi = "10.1088/1748-0221/15/06/P06005",
    journal = "JINST",
    volume = "15",
    number = "06",
    pages = "P06005",
    year = "2020"
}
@article{Diefenbacher:2019ezd,
    author = "Diefenbacher, Sascha and Frost, Hermann and Kasieczka, Gregor and Plehn, Tilman and Thompson, Jennifer M.",
    archivePrefix = "arXiv",
    doi = "10.21468/SciPostPhys.8.2.023",
    eprint = "1906.11265",
    journal = "SciPost Phys.",
    pages = "023",
    primaryClass = "hep-ph",
    title = "{CapsNets Continuing the Convolutional Quest}",
    volume = "8",
    year = "2020"
}
@article{Kasieczka:2018lwf,
    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",
    month = "12",
    primaryClass = "hep-ph",
    reportNumber = "DESY-19-232",
    title = "{(Machine) Learning Amplitudes for Faster Event Generation}",
    year = "2019"
}
@article{Aad:2019yxi,
    author = "Aad, Georges and others",
    archivePrefix = "arXiv",
    collaboration = "ATLAS",
    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 = "Aad, Georges and others",
    archivePrefix = "arXiv",
    collaboration = "ATLAS",
    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         = "Adams, C. and others",
      title          = "{Deep neural network for pixel-level electromagnetic particle identification in the MicroBooNE liquid argon time projection chamber}",
      collaboration  = "MicroBooNE",
      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 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         = "Sirunyan, Albert M and others",
 title          = "{Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV}",
 collaboration  = "CMS",
 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}"
}

% 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}
}

% 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",
    collaboration = "ATLAS",
    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         = "Acciarri, R. and others",
 title          = "{Convolutional Neural Networks Applied to Neutrino Events in a Liquid Argon Time Projection Chamber}",
 collaboration  = "MicroBooNE",
 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}",
 journal        = "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",
}

% 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{dummy,
}