A Graph-Based Inspection and Intervention Tool for Assessing Mechanistic Learning in PINNs
We ask whether physically meaningful correspondences discovered inside a trained scientific model remain meaningful outside the conditions under which they were discovered. We introduce GIIT (Graph-based Inspection and Intervention Tool), which represents governing physics as a computational physics dependency graph, m...