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Machine learning for the LHC physics program: a 2025-2026 stocktake

Thaler, Jesse
arXiv (All) · Papers
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high-energy-physics-experimenthigh-energy-physics-phenomenology
The first sentence of this abstract--and the introduction to these proceedings--was authored by a human, but the bulk of this document was generated by an agentic AI system. In this talk, I take stock of machine learning (ML) for the LHC physics program over the twelve months from May 2025 to May 20
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