Robust training and rigorous error analysis of physics-informed neural networks for the $p$-Laplace equation

Kyueon Choi, Seungchan Ko, Dohyun Kwon

With the rise of scientific machine learning, physics-informed neural networks (PINNs) have been extensively applied to a wide range of problems. Nevertheless, most theoretical ana…