Learning Generalizable Neural Operators for Inverse Problems

This article likely discusses the application of neural operators to solve inverse problems, focusing on the ability of these operators to generalize to unseen data or scenarios. The research likely explores the training and evaluation of these operators, potentially comparing them to other methods.