GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks

Fuente: arXiv

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Bibliographic Details
Main Authors:	Ranasinghe, Nisal, Xia, Yu, Seneviratne, Sachith, Halgamuge, Saman
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2408.14780