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14:15
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Machine Learning for Fundamental Physics: from the Smallest to the Largest Scales
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David Shih
(M R070)
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14:50
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On unreasonable efficiency of large language models for science
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Artem Maevskiy
Andrey Ustyuzhanin
(M R070)
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15:40
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--- Coffee break ---
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16:00
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Toward Building Large HEP Models with Self-Supervised Learning
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Michael Kagan
(M R070)
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16:35
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Fast and furious AI-machines for physics at the LHC
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Andrea Coccaro
(M R070)
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17:10
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Optimal Transport for Transfer Learning and Algorithmic Fairness Problems Arising in High-Energy Physics
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Mikael Kuusela
(M R070)
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