2026
Interpretability and Generalization Bounds for Learning Spatial Physics
ICML 2026poster
While there are many applications of machine learning (ML) to scientific problems that \emph{look} promising, the eye test can be misleading compared to the quantitative values. Using numerical analysis techniques, we rigorously quantify the accuracy, convergence rates, and generalization bounds of …