Examining the robustness of Physics-Informed Neural Networks to noise for Inverse Problems

Aleksandra Jekic, Afroditi Natsaridou, Signe Riemer-Sørensen +2

Approximating solutions to partial differential equations (PDEs) is fundamental for the modeling of dynamical systems in science and engineering. Physics-informed neural networks (…