ICML

BaryonBridge: Stochastic Interpolant Model for Fast Hydrodynamical Simulations

Benjamin Horowitz, Carolina Cuesta-Lazaro, Omar Yehia

Comments Abstract accepted to the 3rd Machine Learning for Astrophysics Workshop at ICML (July 2025), 3 figures, 6 pages

Improved Exploration in GFlownets via Enhanced Epistemic Neural Networks

Sajan Muhammad, Salem Lahlou

Comments Accepted to the EXAIT Workshop at ICML 2025, and ICoIAS 2025

Adjustment for Confounding using Pre-Trained Representations

Rickmer Schulte, David Rügamer, Thomas Nagler

机构 * Department of Statistics, LMU Munich（统计系，慕尼黑大学） ； Munich Center for Machine Learning (MCML)（慕尼黑机器学习中心） 纠错

Comments Accepted at ICML 2025

Journal ref Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53557-53580, 2025

Efficient nonparametric statistical inference on population feature importance using Shapley values

Brian D. Williamson, Jean Feng

Comments 15 pages, 3 figures. To be published in the Proceedings of the Thirty-seventh International Conference on Machine Learning (ICML 2020)

Journal ref Proceedings of the 37th International Conference on Machine Learning (2020), PMLR 119:10282-10291