PINNfluence: Interpreting PINNs through Influence Functions

Aleksander Krasowski, Jonas R. Naujoks, Moritz Weckbecker +5

Physics-informed neural networks (PINNs) have emerged as a powerful deep learning approach for solving partial differential equations (PDEs) in the physical sciences, yet their beh…