2025
Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems
ICLR 2025poster
Inverse problems involving partial differential equations (PDEs) can be seen as discovering a mapping from measurement data to unknown quantities, often framed within an operator learning approach. However, existing methods typically rely on large amounts of labeled training data, which is impractic…