Workshop: AI in Nuclear Physics Experiment II
INVITED · 4WB · ID: 3560696
Presentations
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RESUM: Rare Event Surrogate Model for Physics Detector Design
ORAL · Invited
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Publication: Ann-Kathrin Schuetz, Alan W. P. Poon and Aobo Li. RESuM: A Rare Event Surrogate Model for Physics Detector Design. In Proceedings of the International Conference on Learning Representations (ICLR), 2025.
Ann-Kathrin Schuetz, Alan W. P. Poon and Aobo Li (2024). RESuM: A Rare Event Surrogate Model for Physics Detector Design. arXiv:2410.03873 [physics.ins-det].
Ann-Kathrin Schuetz, Alexander Migala, Adam Boesky, Alan W.P. Poon, Floor S. Broekgaarden, Aobo Li (2025). RESOLVE: Rare Event Surrogate Likelihood for Gravitational Wave Paleontology Parameter Estimation. arXiv:2506.00757 [astro-ph.IM].Presenters
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Ann-Kathrin Schuetz
Lawrence Berkeley National Laboratory
Authors
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Ann-Kathrin Schuetz
Lawrence Berkeley National Laboratory
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Alan WP Poon
Lawrence Berkeley National Laboratory
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Aobo Li
University of California, San Diego
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Intelligent experiments through real-time AI: Fast Data Processing and Autonomous Detector Control for sPHENIX and future EIC detectors
ORAL · Invited
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Presenters
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Ming Xiong Liu
Los Alamos National Laboratory (LANL)
Authors
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Ming Xiong Liu
Los Alamos National Laboratory (LANL)
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FM4NPP: Foundation Model for Nuclear and Particle Physics.
ORAL · Invited
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Presenters
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Yihui Ren
Brookhaven National Laboratory
Authors
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Yihui Ren
Brookhaven National Laboratory
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