Predicting Out-of-Distribution Generalization of Neural Operators via Observable Spectral Error Decomposition.

arXiv:2609.23529v1 Announce Type: cross Abstract: Neural operators have emerged as powerful surrogates for solving partial differential equations (PDEs), yet their reliability under distribution shift remains a critical barrier to deployment. Existing approach