Title
Particle Hit Clustering and Identification Using Point Set Transformers in Liquid Argon Time Projection Chambers Edgar E. Robles A. Yankelevich Wenjie Wu J. Bian Pierre Baldi 63 0 0 11 Apr 2025
Enhancing Events in Neutrino Telescopes through Deep Learning-Driven Super-Resolution Felix J. Yu Nicholas Kamp Carlos A. Arguelles 79 0 0 16 Aug 2024
Interpretable machine learning approach for electron antineutrino selection in a large liquid scintillator detector A. Gavrikov V. Cerrone A. Serafini R. Brugnera A. Garfagnini ... A. Triossi C. Tuvé C. Venettacci G. Verde L. Votano 47 0 0 09 Jun 2024
Graph Neural Network for Neutrino Physics Event Reconstruction V. Hewes A. Aurisano G. Cerati J. Kowalkowski C. Lee W. Liao D. Grzenda K. Gumpula Xiaohe Zhang 45 1 0 18 Mar 2024
Extending Explainable Boosting Machines to Scientific Image Data Daniel Schug Sai Yerramreddy R. Caruana Craig S. Greenberg Justyna P. Zwolak 101 2 0 25 May 2023
Trigger-Level Event Reconstruction for Neutrino Telescopes Using Sparse Submanifold Convolutional Neural Networks Felix J. Yu J. Lazar Carlos A. Arguelles BDL 50 14 0 15 Mar 2023
Interpretable Joint Event-Particle Reconstruction for Neutrino Physics at NOvA with Sparse CNNs and Transformers Alexander Shmakov A. Yankelevich Jianming Bian Pierre Baldi BDL ViT 67 1 0 10 Mar 2023
Utilizing synthetic training data for the supervised classification of rat ultrasonic vocalizations K. J. Scott⁺ Lucinda J. Speers¹ David K. Bilkey⁺ 19 2 0 03 Mar 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 53 5 0 09 Nov 2022
Pulse Shape Simulation and Discrimination using Machine-Learning Techniques S. Dutta Sayan Ghosh S. Bhattacharya S. Saha 8 3 0 30 Jun 2022
Explainable AI for High Energy Physics Mark S. Neubauer Avik Roy 78 10 0 14 Jun 2022
Physics Community Needs, Tools, and Resources for Machine Learning Philip C. Harris E. Katsavounidis W. McCormack D. Rankin Yongbin Feng ... De-huai Chen Mark S. Neubauer Javier Mauricio Duarte G. Karagiorgi Miaoyuan Liu AI4CE 60 4 0 30 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 71 7 0 15 Dec 2021
Machine Learning in the Search for New Fundamental Physics G. Karagiorgi Gregor Kasieczka S. Kravitz Benjamin Nachman David Shih AI4CE 81 117 0 07 Dec 2021
Segmentation of EM showers for neutrino experiments with deep graph neural networks V. Belavin Ekaterina Trofimova Andrey Ustyuzhanin 33 3 0 05 Apr 2021
Deep Learning strategies for ProtoDUNE raw data denoising Marco Rossi S. Vallecorsa 36 7 0 02 Mar 2021
A Living Review of Machine Learning for Particle Physics Matthew Feickert Benjamin Nachman KELM AI4CE 89 182 0 02 Feb 2021
Linear Frequency Principle Model to Understand the Absence of Overfitting in Neural Networks Yaoyu Zhang Yaoyu Zhang Zheng Ma Zhi-Qin John Xu 52 21 0 30 Jan 2021
A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory R. Abbasi M. Ackermann J. Adams J. Aguilar M. Ahlers ... Zifei Shan J. Yáñez S. Yoshida T. Yuan Zheng Zhang 62 49 0 27 Jan 2021
Hybrid Quantum-Classical Graph Convolutional Network Samuel Yen-Chi Chen T. Wei Chao Zhang Haiwang Yu Shinjae Yoo GNN 83 36 0 15 Jan 2021
Machine-learning enhanced dark soliton detection in Bose-Einstein condensates Shangjie Guo A. R. Fritsch Craig S. Greenberg I. Spielman Justyna P. Zwolak 39 18 0 14 Jan 2021
Quantum Convolutional Neural Networks for High Energy Physics Data Analysis Samuel Yen-Chi Chen T. Wei Chao Zhang Haiwang Yu Shinjae Yoo 94 118 0 22 Dec 2020
Simulating the Time Projection Chamber responses at the MPD detector using Generative Adversarial Networks A. Maevskiy F. Ratnikov A. Zinchenko V. Riabov 94 12 0 08 Dec 2020
GPU-accelerated machine learning inference as a service for computing in neutrino experiments M. Wang Tingjun Yang M. Acosta Flechas Philip C. Harris B. Hawks B. Holzman K. Knoepfel J. Krupa K. Pedro N. Tran 45 31 0 09 Sep 2020
Enabling real-time multi-messenger astrophysics discoveries with deep learning Eliu A. Huerta Gabrielle Allen I. Andreoni J. Antelis E. Bachelet ... Wei Wei J. Wells T. Williams Jinjun Xiong Zhizhen Zhao AI4CE 68 70 0 26 Nov 2019
Response to NITRD, NCO, NSF Request for Information on "Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan" J. Amundson J. Annis Camille Avestruz D. Bowring J. Caldeira ... N. Tran S. Trivedi L. Trouille W. L. K. Wu C. Bom 54 11 0 05 Nov 2019
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM Skanda Koppula Lois Orosa A. G. Yaglikçi Roknoddin Azizi Taha Shahroodi Konstantinos Kanellopoulos O. Mutlu 78 108 0 12 Oct 2019
Learning in the Machine: To Share or Not to Share? J. Ott Erik J. Linstead Nicholas LaHaye Pierre Baldi 73 17 0 23 Sep 2019
End-to-End Jet Classification of Quarks and Gluons with the CMS Open Data Michael Andrews J. Alison Sitong An P. Bryant Bjorn Burkle S. Gleyzer M. Narain M. Paulini Barnabás Póczós Emanuele Usai 66 45 0 21 Feb 2019
A Survey of the Recent Architectures of Deep Convolutional Neural Networks Asifullah Khan A. Sohail Umme Zahoora Aqsa Saeed Qureshi OOD 168 2,319 0 17 Jan 2019
Machine Learning Methods for Track Classification in the AT-TPC M. Kuchera R. Ramanujan Jack Z. Taylor R. Strauss D. Bazin J. Bradt Ruiming Chen 47 33 0 21 Oct 2018
A Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber MicroBooNE collaboration C. Adams C. Adams M. Alrashed Rui An J. Anthony ... G. Yarbrough L. Yates G. Zeller J. Zennamo Chenyi Zhang 46 66 0 22 Aug 2018
A simulation study to distinguish prompt photon from $π^0$ and beam halo in a granular calorimeter using deep networks Shamik Ghosh A. Harilal A. R. Sahasransu Ritesh K. Singh S. Bhattacharya 13 4 0 12 Aug 2018
End-to-End Physics Event Classification with CMS Open Data: Applying Image-Based Deep Learning to Detector Data for the Direct Classification of Collision Events at the LHC Michael Andrews M. Paulini S. Gleyzer Barnabás Póczós DiffM 87 17 0 31 Jul 2018
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model A. G. Baydin Lukas Heinrich W. Bhimji Lei Shao Saeid Naderiparizi ... Philip Torr Victor W. Lee P. Prabhat Kyle Cranmer Frank Wood 90 31 0 20 Jul 2018
A high-bias, low-variance introduction to Machine Learning for physicists Pankaj Mehta Marin Bukov Ching-Hao Wang A. G. Day C. Richardson Charles K. Fisher D. Schwab AI4CE 133 883 0 23 Mar 2018
A trans-disciplinary review of deep learning research for water resources scientists Chaopeng Shen AI4CE 226 700 0 06 Dec 2017
Stacking machine learning classifiers to identify Higgs bosons at the LHC A. Alves 95 32 0 21 Dec 2016
Machine learning applied to single-shot x-ray diagnostics in an XFEL Alvaro Sanchez-Gonzalez P. Micaelli C. Olivier T. Barillot M. Ilchen ... M. Vacher D. Walke V. Zhaunerchyk Ryan N. Coffee J. Marangos 55 83 0 11 Oct 2016