Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks

Feilong Jiang, Xiaonan Hou, Jianqiao Ye +1

Physics-Informed Neural Networks (PINNs) have emerged as a powerful framework for solving partial differential equations (PDEs) by embedding physical laws directly into the loss fu…