2026
Physics-informed learning under mixing: How physical knowledge speeds up learning
ICLR 2026poster
A major challenge in physics-informed machine learning is to understand how the incorporation of prior domain knowledge affects learning rates when data are dependent. Focusing on empirical risk minimization with physics-informed regularization, we derive complexity-dependent bounds on the excess ri…