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20222026
most citedNavigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence

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cs.LG2025

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…