PINNfluence: Interpreting PINNs through Influence Functions 文章

ArXiv CS.AI2026-06-03NEWSen作者: Aleksander Krasowski, Jonas R. Naujoks, Moritz Weckbecker, Galip \"U. Yolcu, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek, Ren\'e P. Klausen
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PINNfluence: Interpreting PINNs through Influence Functions · 相关技术

相关技术

partial differential equations (PDEs)influence functionsPINNfluencephysics-informed neural networks