Unlearning Noise in PINNs: A Selective Pruning Framework for PDE Inverse Problems

Yongsheng Chen, Yong Chen, Wei Guo +1

Physics-informed neural networks (PINNs) provide a promising framework for solving inverse problems governed by partial differential equations (PDEs) by integrating observational d…