High Energy Physics - Phenomenology · Physics
Machine Learning in the Search for New Fundamental Physics
Georgia Karagiorgi, Gregor Kasieczka, Scott Kravitz, Benjamin Nachman +1
2021-12-08
High Energy Physics - Phenomenology · Physics
High energy nuclear physics meets Machine Learning
Wan-Bing He, Yu-Gang Ma, Long-Gang Pang, Huichao Song +1
2023-03-14
Computational Physics · Physics
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems
Jared Willard, Xiaowei Jia, Shaoming Xu, Michael Steinbach +1
2022-03-15
Computational Physics · Physics
Machine Learning in High Energy Physics Community White Paper
Kim Albertsson, Piero Altoe, Dustin Anderson, John Anderson +124
2019-05-17
Machine Learning · Computer Science
Scientific Machine Learning Benchmarks
Jeyan Thiyagalingam, Mallikarjun Shankar, Geoffrey Fox, Tony Hey
2021-10-26
High Energy Physics - Phenomenology · Physics
A survey of machine learning-based physics event generation
Yasir Alanazi, N. Sato, Pawel Ambrozewicz, Astrid N. Hiller Blin +4
2021-12-30
High Energy Physics - Phenomenology · Physics
Machine Learning and LHC Event Generation
Anja Butter, Tilman Plehn, Steffen Schumann, Simon Badger +47
2023-04-26
Computational Physics · Physics
Machine learning and the physical sciences
Giuseppe Carleo, Ignacio Cirac, Kyle Cranmer, Laurent Daudet +4
2019-12-09
High Energy Physics - Phenomenology · Physics
Modern Machine Learning for LHC Physicists
Tilman Plehn, Anja Butter, Barry Dillon, Theo Heimel +2
2025-04-25
Machine Learning · Computer Science
Physics Community Needs, Tools, and Resources for Machine Learning
Philip Harris, Erik Katsavounidis, William Patrick McCormack, Dylan Rankin +17
2022-03-31
Machine Learning · Computer Science
Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case
Milad Leyli-Abadi, Jérôme Picault, Antoine Marot, Jean-Patrick Brunet +6
2025-05-22
High Energy Physics - Phenomenology · Physics
Machine Learning Uncertainties with Adversarial Neural Networks
Christoph Englert, Peter Galler, Philip Harris, Michael Spannowsky
2019-01-30