Title
Machine-Learning Analysis of Radiative Decays to Dark Matter at the LHC E. Arganda Marcela Carena M. D. L. Rios A. D. Perez Duncan Rocha Rosa María Sandá Seoane Carlos E. M. Wagner AI4CE 23 0 0 17 Oct 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 45 9 0 16 May 2024
PASCL: Supervised Contrastive Learning with Perturbative Augmentation for Particle Decay Reconstruction Junjian Lu Siwei Liu Dmitrii Kobylianski Etienne Dreyer Eilam Gross Houcheng Su 32 3 0 18 Feb 2024
Deep Learning-Based Spatiotemporal Multi-Event Reconstruction for Delay Line Detectors Marco Knipfer S. Meier J. Heimerl P. Hommelhoff S. Gleyzer 21 3 0 13 Jun 2023
Assessment of few-hits machine learning classification algorithms for low energy physics in liquid argon detectors R. Moretti Michele Grossi M. Biassoni Andrea Giachero Marco Rossi D. Guffanti Danilo Labranca F. Terranova S. Vallecorsa 24 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 16 26 0 25 Jan 2023
Artificial intelligence for improved fitting of trajectories of elementary particles in inhomogeneous dense materials immersed in a magnetic field Saúl Alonso-Monsalve D. Sgalaberna Xingyu Zhao C. Mcgrew A. Rubbia 19 4 0 09 Nov 2022
Machine-Learned Exclusion Limits without Binning E. Arganda Andrés D. Pérez M. D. L. Rios Rosa María Sandá Seoane 30 9 0 09 Nov 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 26 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 18 14 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 21 23 0 04 Apr 2022
A Cautionary Tale of Decorrelating Theory Uncertainties A. Ghosh Benjamin Nachman 30 17 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 18 11 0 06 Aug 2021
Towards a method to anticipate dark matter signals with deep learning at the LHC E. Arganda A. Medina A. D. Perez A. Szynkman 17 7 0 25 May 2021
A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC G. D. Guglielmo F. Fahim C. Herwig M. Valentín Javier Mauricio Duarte ... D. Noonan Seda Ogrenci-Memik M. Pierini S. Summers N. Tran 13 50 0 04 May 2021
Autoencoders for unsupervised anomaly detection in high energy physics Thorben Finke Michael Krämer A. Morandini A. Mück I. Oleksiyuk 18 83 0 19 Apr 2021
Graph Generative Models for Fast Detector Simulations in High Energy Physics A. Hariri Darya Dyachkova Sergei Gleyzer AI4CE 24 6 0 05 Apr 2021
Development of a Vertex Finding Algorithm using Recurrent Neural Network Kiichi Goto T. Suehara T. Yoshioka M. Kurata Hajime Nagahara Yuta Nakashima Noriko Takemura M. Iwasaki 8 9 0 28 Jan 2021
E Pluribus Unum Ex Machina: Learning from Many Collider Events at Once Benjamin Nachman Jesse Thaler 35 33 0 18 Jan 2021
Machine learning for complete intersection Calabi-Yau manifolds: a methodological study Harold Erbin Riccardo Finotello 21 31 0 30 Jul 2020
Energy Flow Networks: Deep Sets for Particle Jets Patrick T. Komiske E. Metodiev Jesse Thaler PINN 3DPC 24 251 0 11 Oct 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015