Compositional Meta-Learning for Mitigating Task Heterogeneity in Physics-Informed Neural Networks

Beomchul Park, Minsu Koh, Heejo Kong +1

Physics-informed neural networks (PINNs) approximate solutions of partial differential equations (PDEs) by embedding physical laws into the loss function. In parameterized PDE fami…