Conformal Prediction for Neural Operators: Distribution-Free Uncertainty Quantification in Physics Simulation 事件

Conformal Prediction for Neural Operators: Distribution-Free Uncertainty Quantification in Physics Simulation arXiv:2606.09923v1 Announce Type: cross Abstract: Neural operators such as the Fourier Neural Operator (FNO) have emerged as powerful surrogates for solving partial differential equations (PDEs), achieving speedups of several orders of magnitude over traditional numerical solvers. However, deploying these models in safety-critical engineering applications -- such as thermal management o