Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution. - Anders Andreassen; Patrick T. Komiske; Eric M. Metodiev; Benjamin Nachman; Adi Suresh; Jesse Thaler (CoRR, 2021)

Editorial: Efficient AI in particle physics and astrophysics. - Javier M. Duarte; Mia Liu; Jennifer Ngadiuba; Elena Cuoco; Jesse Thaler (Frontiers Artif. Intell., 2022)

EPiC-GAN: Equivariant Point Cloud Generation for Particle Jets. - Erik Buhmann; Gregor Kasieczka; Jesse Thaler (CoRR, 2023)

SHAPER: Can You Hear the Shape of a Jet? - Demba E. Ba; Akshunna S. Dogra; Rikab Gambhir; Abiy Tasissa; Jesse Thaler (CoRR, 2023)

Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics. - Jonas Spinner; Victor Bresó; Pim de Haan; Tilman Plehn; Jesse Thaler; Johann Brehmer (NeurIPS, 2024)

Institute for Artificial Intelligence and Fundamental Interactions (IAIFI): Infusing physics intelligence into artificial intelligence. - Jesse Thaler; Mike Williams; Marisa Lafleur (AI Mag., 2024)

PAPERCLIP: Associating Astronomical Observations and Natural Language with Multi-Modal Models. - Siddharth Mishra-Sharma; Yiding Song; Jesse Thaler (CoRR, 2024)

Moments of Clarity: Streamlining Latent Spaces in Machine Learning using Moment Pooling. - Rikab Gambhir; Athis Osathapan; Jesse Thaler (CoRR, 2024)

A Lorentz-Equivariant Transformer for All of the LHC. - Johann Brehmer; Victor Bresó; Pim de Haan; Tilman Plehn; Huilin Qu; Jonas Spinner; Jesse Thaler (CoRR, 2024)