new: 2405.18471 (#232)

Co-authored-by: Ramon Winterhalder <[email protected]>
iml-wg · Nov 27, 2024 · 7858d68 · 7858d68
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diff --git a/HEPML.bib b/HEPML.bib
@@ -1850,6 +1850,18 @@ @article{Hammad:2024hhm
     year = "2024"
 }
 
+% May 28, 2024
+@article{AbdusSalam:2024obf,
+    author = "AbdusSalam, Shehu and Abel, Steven and Crispim Rom\~ao, Miguel",
+    title = "{Symbolic Regression for Beyond the Standard Model Physics}",
+    eprint = "2405.18471",
+    archivePrefix = "arXiv",
+    primaryClass = "hep-ph",
+    reportNumber = "IPPP/24/27",
+    month = "5",
+    year = "2024"
+}
+
 % May 28, 2024
 @article{Kopp:2024lch,
     author = "Kopp, Joachim and Machado, Pedro and MacMahon, Margot and Martinez-Soler, Ivan",

diff --git a/HEPML.tex b/HEPML.tex
@@ -155,7 +155,7 @@
 		\\\textit{Approximating functions that obey certain (physical) constraints.}
 		\item \textbf{Symbolic Regression}~\cite{Cushman:2024jgi,Wang:2023poi,Lu:2022joy,Zhang:2022uqk,Butter:2021rvz}
 		\\\textit{Regression where the result is a (relatively) simple formula.}
-		\item \textbf{Monitoring}~\cite{Li:2024akn,Cushman:2024jgi,Shutt:2024che,CMSECAL:2023fvz,Das:2023ktd,Harilal:2023smf,Chen:2023cim,Joshi:2023btt,CMSMuon:2023czf,Matha:2023tmf,Mukund:2023oyy}
+		\item \textbf{Monitoring}~\cite{AbdusSalam:2024obf,Li:2024akn,Cushman:2024jgi,Shutt:2024che,CMSECAL:2023fvz,Das:2023ktd,Harilal:2023smf,Chen:2023cim,Joshi:2023btt,CMSMuon:2023czf,Matha:2023tmf,Mukund:2023oyy}
 		\\\textit{Regression models can be used to monitor experimental setups and sensors.}
 	\end{itemize}
 \item \textbf{Equivariant networks}~\cite{Brehmer:2024yqw,Maitre:2024hzp,Hendi:2024yin,Cruz:2024grk,Spinner:2024hjm,Bhardwaj:2024wrf,Sahu:2024sts,Bhardwaj:2024djv,Chatterjee:2024pbp,Bressler:2024wzc,Gu:2024lrz,Bright-Thonney:2023gdl,Bogatskiy:2023nnw,Murnane:2023kfm,Lehner:2023prf,Forestano:2023qcy,Buhmann:2023pmh,Aronsson:2023rli,Forestano:2023fpj,Lehner:2023bba,Hao:2022zns,Bogatskiy:2022czk,Favoni:2022mcg,Bogatskiy:2022hub,Shi:2022yqw,Gong:2022lye,Bulusu:2021njs,Favoni:2020reg,Dolan:2020qkr,Kanwar:2003.06413}

diff --git a/README.md b/README.md
@@ -1302,6 +1302,7 @@ This review was built with the help of the HEP-ML community, the [INSPIRE REST A
 
 ###  Monitoring
 
+* [Symbolic Regression for Beyond the Standard Model Physics](https://arxiv.org/abs/2405.18471) (2024)
 * [A versatile framework for attitude tuning of beamlines at advanced light sources](https://arxiv.org/abs/2411.01278) (2024)
 * [Strategies for Machine Learning Applied to Noisy HEP Datasets: Modular Solid State Detectors from SuperCDMS](https://arxiv.org/abs/2404.10971) (2024)
 * [GAMPix: a novel fine-grained, low-noise and ultra-low power pixelated charge readout for TPCs](https://arxiv.org/abs/2402.00902) (2024)

diff --git a/docs/index.md b/docs/index.md
@@ -1419,6 +1419,7 @@ const expandElements = shouldExpand => {
     ###  Monitoring
     </div>
 
+    * [Symbolic Regression for Beyond the Standard Model Physics](https://arxiv.org/abs/2405.18471) (2024)
     * [A versatile framework for attitude tuning of beamlines at advanced light sources](https://arxiv.org/abs/2411.01278) (2024)
     * [Strategies for Machine Learning Applied to Noisy HEP Datasets: Modular Solid State Detectors from SuperCDMS](https://arxiv.org/abs/2404.10971) (2024)
     * [GAMPix: a novel fine-grained, low-noise and ultra-low power pixelated charge readout for TPCs](https://arxiv.org/abs/2402.00902) (2024)