Search Results for author: Phiala Shanahan

Found 2 papers, 0 papers with code

Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning

no code implementations • 15 Sep 2022 • Phiala Shanahan, Kazuhiro Terao, Daniel Whiteson

The rapidly-developing intersection of machine learning (ML) with high-energy physics (HEP) presents both opportunities and challenges to our community.

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Symmetry Group Equivariant Architectures for Physics

no code implementations • 11 Mar 2022 • Alexander Bogatskiy, Sanmay Ganguly, Thomas Kipf, Risi Kondor, David W. Miller, Daniel Murnane, Jan T. Offermann, Mariel Pettee, Phiala Shanahan, Chase Shimmin, Savannah Thais

Physical theories grounded in mathematical symmetries are an essential component of our understanding of a wide range of properties of the universe.

BIG-bench Machine Learning

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