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cs.LG2025
Group Averaging for Physics Applications: Accuracy Improvements at Zero Training Cost
Valentino F. Foit, David W. Hogg, Soledad Villar
Many machine learning tasks in the natural sciences are precisely equivariant to particular symmetries. Nonetheless, equivariant methods are often not employed, perhaps because tra…
cs.LG2025
Causal Foundation Models: Disentangling Physics from Instrument Properties
Jeroen Audenaert, Daniel Muthukrishna, Paul F. Gregory +2
Foundation models for structured time series data must contend with a fundamental challenge: observations often conflate the true underlying physical phenomena with systematic dist…