Leveraging Influence Functions for Resampling Data in Physics-Informed Neural Networks

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

Physics-informed neural networks (PINNs) offer a powerful approach to solving partial differential equations (PDEs), which are ubiquitous in the quantitative sciences. Applied to b…