Simone Brugiapaglia

Into the danger zone: stable extrapolation in high-dimensional function and operator learning

Out-of-distribution (OOD) generalization is a central challenge in scientific machine learning. We study regression problems in which the test distribution differs from the training distribution and ask: under what assumptions on the target function or operator is stable extrapolation possible, and how far beyond the t...