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arXiv Machine Learning By Quan Gu, Hongxia Liu

Feature Interaction Modeling for Physics-Informed Neural Networks and Neural Operators

Read the original on arXiv Machine Learning →

arXiv:2607. 28762v1 Announce Type: new Abstract: This work embeds feature interaction modules derived from factorization machines (FMs) into physics-informed neural networks (PINNs) and neural operator learning, to enhance model expressiveness for solution manifolds of parameterized partial differential equations (PDEs).

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