Title
Stable and Interpretable Jet Physics with IRC-Safe Equivariant Feature Extraction P. Konar Vishal S. Ngairangbam M. Spannowsky Deepanshu Srivastava OOD 64 0 0 26 Sep 2025
Shedding Light on Dark Matter at the LHC with Machine Learning E. Arganda M. D. L. Rios Andrés D. Pérez Subhojit Roy Rosa María Sandá Seoane Carlos E. M. Wagner 60 0 0 18 Sep 2025
Strategic White Paper on AI Infrastructure for Particle, Nuclear, and Astroparticle Physics: Insights from JENA and EuCAIF S. Caron Andreas Ipp Gert Aarts Gábor Bíró D. Bonacorsi ... Karolos Potamianos Liliana Teodorescu John Veitch Pietro Vischia Christoph Weniger 150 0 0 18 Mar 2025
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Machine-Learning Analysis of Radiative Decays to Dark Matter at the LHCJournal of High Energy Physics (JHEP), 2024 E. Arganda Marcela Carena M. D. L. Rios A. D. Perez Duncan Rocha Rosa María Sandá Seoane Carlos E. M. Wagner AI4CE 311 2 0 17 Oct 2024
Additive-feature-attribution methods: a review on explainable artificial intelligence for fluid dynamics and heat transferInternational Journal of Heat and Fluid Flow (IJHFF), 2024 Andres Cremades S. Hoyas Ricardo Vinuesa FAtt 173 19 0 18 Sep 2024
Automated and Holistic Co-design of Neural Networks and ASICs for Enabling In-Pixel Intelligence Shubha R. Kharel Prashansa Mukim Piotr Maj Grzegorz W. Deptuch Shinjae Yoo Zhongjing Jiang Soumyajit Mandal 163 0 0 18 Jul 2024
Quantum Vision Transformers for Quark-Gluon Classification Marçal Comajoan Cara Gopal Ramesh Dahale Zhongtian Dong Roy T. Forestano S. Gleyzer ... Kyoungchul Kong Tom Magorsch Konstantin T. Matchev Katia Matcheva Eyup B. Unlu 173 12 0 16 May 2024
Moments of Clarity: Streamlining Latent Spaces in Machine Learning using Moment Pooling Rikab Gambhir Athis Osathapan Jesse Thaler 185 3 0 13 Mar 2024
PASCL: Supervised Contrastive Learning with Perturbative Augmentation for Particle Decay Reconstruction Junjian Lu Houcheng Su Dmitrii Kobylianski Etienne Dreyer Eilam Gross Houcheng Su 144 3 0 18 Feb 2024
Machine Learning for Anomaly Detection in Particle Physics Vasilis Belis Patrick Odagiu Thea Klæboe Årrestad 209 66 0 20 Dec 2023
What Machine Learning Can Do for Focusing Aerogel DetectorsPhysics of Atomic Nuclei (PAN), 2023 F. Shipilov A. Barnyakov Vladimir Bobrovnikov Sergey Kononov F. Ratnikov 50 1 0 05 Dec 2023
Autoencoder-based Anomaly Detection System for Online Data Quality Monitoring of the CMS Electromagnetic CalorimeterComputing and Software for Big Science (CSBS), 2023 Cms Collaboration 73 7 0 18 Sep 2023
Deep Learning-Based Spatiotemporal Multi-Event Reconstruction for Delay Line Detectors Marco Knipfer S. Meier J. Heimerl P. Hommelhoff S. Gleyzer 138 5 0 13 Jun 2023
Assessment of few-hits machine learning classification algorithms for low energy physics in liquid argon detectorsThe European Physical Journal Plus (EPJ Plus), 2023 R. Moretti Michele Grossi M. Biassoni Andrea Giachero Marco Rossi D. Guffanti Danilo Labranca F. Terranova S. Vallecorsa 198 4 0 16 May 2023
Unravelling physics beyond the standard model with classical and quantum anomaly detection Julian Schuhmacher Laura Boggia Vasilis Belis E. Puljak Michele Grossi M. Pierini S. Vallecorsa F. Tacchino Panagiotis Kl Barkoutsos I. Tavernelli 227 34 0 25 Jan 2023
Artificial intelligence for improved fitting of trajectories of elementary particles in inhomogeneous dense materials immersed in a magnetic fieldCommunications Physics (Commun. Phys.), 2022 Saúl Alonso-Monsalve D. Sgalaberna Xingyu Zhao C. Mcgrew A. Rubbia 117 5 0 09 Nov 2022
Machine-Learned Exclusion Limits without Binning E. Arganda Andrés D. Pérez M. D. L. Rios Rosa María Sandá Seoane 214 11 0 09 Nov 2022
Learning Tree Structures from Leaves For Particle Decay Reconstruction James Kahn I. Tsaklidis Oskar Taubert Lea Reuter G. Dujany ... A. Thaller P. Goldenzweig F. Bernlochner Achim Streit Markus Gotz 133 11 0 31 Aug 2022
Data Science and Machine Learning in Education G. Benelli Thomas Y. Chen Javier Mauricio Duarte Matthew Feickert Matthew Graham ... K. Terao S. Thais A. Roy J. Vlimant G. Chachamis AI4CE 141 5 0 19 Jul 2022
SYMBA: Symbolic Computation of Squared Amplitudes in High Energy Physics with Machine Learning Abdulhakim Alnuqaydan S. Gleyzer Harrison B. Prosper 323 21 0 17 Jun 2022
End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks S. Qasim N. Chernyavskaya J. Kieseler K. Long O. Viazlo M. Pierini R. Nawaz 328 26 0 04 Apr 2022
Improving Robustness of Jet Tagging Algorithms with Adversarial TrainingComputing and Software for Big Science (CSBS), 2022 Annika Stein X. Coubez S. Mondal A. Novák A. Schmidt AAML 109 9 0 25 Mar 2022
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges S. Thais P. Calafiura G. Chachamis G. Dezoort Javier Mauricio Duarte S. Ganguly Michael Kagan D. Murnane Mark S. Neubauer K. Terao PINN AI4CE 297 38 0 23 Mar 2022
Domain-informed neural networks for interaction localization within astroparticle experiments Shixiao Liang A. Higuera C. Peters Venkat Roy W. Bajwa H. Shatkay C. Tunnell 269 7 0 15 Dec 2021
Applications and Techniques for Fast Machine Learning in ScienceFrontiers in Big Data (Front. Big Data), 2021 A. Deiana Nhan Tran Joshua C. Agar Michaela Blott G. D. Guglielmo ... Ashish Sharma S. Summers Pietro Vischia J. Vlimant Olivia Weng 192 80 0 25 Oct 2021
A Cautionary Tale of Decorrelating Theory Uncertainties A. Ghosh Benjamin Nachman 270 24 0 16 Sep 2021
Beyond Cuts in Small Signal Scenarios -- Enhanced Sneutrino Detectability Using Machine Learning Daniel Alvestad N. Fomin Jörn Kersten S. Maeland Inga Strümke 205 13 0 06 Aug 2021
Towards a method to anticipate dark matter signals with deep learning at the LHCSciPost Physics (SciPost Phys.), 2021 E. Arganda A. Medina A. D. Perez A. Szynkman 246 8 0 25 May 2021
A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHCIEEE Transactions on Nuclear Science (IEEE TNS), 2021 G. D. Guglielmo F. Fahim C. Herwig M. Valentín Javier Mauricio Duarte ... D. Noonan Seda Ogrenci-Memik M. Pierini S. Summers N. Tran 152 54 0 04 May 2021
Autoencoders for unsupervised anomaly detection in high energy physicsJournal of High Energy Physics (JHEP), 2021 Thorben Finke Michael Krämer A. Morandini A. Mück I. Oleksiyuk 156 101 0 19 Apr 2021
Graph Generative Models for Fast Detector Simulations in High Energy PhysicsEPJ Web of Conferences (EPJ Web Conf.), 2021 A. Hariri Darya Dyachkova Sergei Gleyzer AI4CE 175 5 0 05 Apr 2021
$Learning to increase matching efficiency in identifying additional b-jets in the $\text{t}\bar{\text{t}}\text{b}\bar{\text{b}}$ process$ Learning to increase matching efficiency in identifying additional b-jets in the $\text{t}\bar{\text{t}}\text{b}\bar{\text{b}}$ processThe European Physical Journal Plus (EPJ Plus), 2021 Cheongjae Jang S. Ko Yung-Kyun Noh Jieun Choi Jongwon Lim Tae Jeong Kim A.I. Institute 52 3 0 16 Mar 2021
Deep learning with photosensor timing information as a background rejection method for the Cherenkov Telescope Array S. Spencer T. Armstrong J. Watson S. Mangano Y. Rénier G. Cotter 74 18 0 10 Mar 2021
Deep Learning strategies for ProtoDUNE raw data denoisingComputing and Software for Big Science (CSBS), 2021 Marco Rossi S. Vallecorsa 153 8 0 02 Mar 2021
Development of a Vertex Finding Algorithm using Recurrent Neural NetworkNuclear Instruments and Methods in Physics Research Section A : Accelerators, Spectrometers, Detectors and Associated Equipment (NIM A), 2021 Kiichi Goto T. Suehara T. Yoshioka M. Kurata Hajime Nagahara Yuta Nakashima Noriko Takemura M. Iwasaki 137 10 0 28 Jan 2021
E Pluribus Unum Ex Machina: Learning from Many Collider Events at Once Benjamin Nachman Jesse Thaler 248 41 0 18 Jan 2021
Machine-learning physics from unphysics: Finding deconfinement temperature in lattice Yang-Mills theories from outside the scaling window D. Boyda M. N. Chernodub N. Gerasimeniuk V. Goy S. Liubimov A. Molochkov AI4CE 102 3 0 23 Sep 2020
Machine learning for complete intersection Calabi-Yau manifolds: a methodological study Harold Erbin Riccardo Finotello 183 32 0 30 Jul 2020
GPU coprocessors as a service for deep learning inference in high energy physics J. Krupa Kelvin Lin M. Acosta Flechas Jack T. Dinsmore Javier Mauricio Duarte ... K. Pedro D. Rankin Natchanon Suaysom Matthew Trahms N. Tran BDL 3DV 317 35 0 20 Jul 2020
Classification of Equation of State in Relativistic Heavy-Ion Collisions Using Deep LearningJournal of High Energy Physics (JHEP), 2020 Yu. Kvasiuk E. Zabrodin L. Bravina I. Didur M. Frolov 214 3 0 29 Apr 2020
Adversarial Examples and the Deeper Riddle of Induction: The Need for a Theory of Artifacts in Deep Learning Cameron Buckner AAML 46 3 0 20 Mar 2020
DeepRICH: Learning Deeply Cherenkov Detectors C. Fanelli Jary Pomponi 147 25 0 26 Nov 2019
Class Imbalance Techniques for High Energy PhysicsSciPost Physics (SciPost Phys.), 2019 C. Murphy 171 7 0 01 May 2019
Energy Flow Networks: Deep Sets for Particle Jets Patrick T. Komiske E. Metodiev Jesse Thaler PINN 3DPC 269 293 0 11 Oct 2018
GANs for generating EFT models Harold Erbin Sven Krippendorf GAN 93 31 0 06 Sep 2018