2024
DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks
ICLR 2024poster
Advancements in deep learning have led to the development of physics-informed neural networks (PINNs) for solving partial differential equations (PDEs) without being supervised by PDE solutions. While vanilla PINNs require training one network per PDE configuration, recent works have showed the pote…