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

arXiv:2604.26999v1 Announce Type: new Abstract: Physicsinformed neural networks PINNs approximate solutions of partial differential equations PDEs by embedding physical laws into the loss function.