Physics-Informed Conformal Prediction embeds PDE residuals into nonconformity scores to produce distribution-free uncertainty intervals for neural operators
Read the original at arxiv.org→arXiv:2609.11935v1 Announce Type: new Abstract: Neural operators such as the Fourier Neural Operator (FNO) achieve remarkable accuracy in approximating solutions to partial differential equations (PDEs). However,...
Original headline: "Physics-Informed Conformal Prediction: Embedding PDE Consistency into Distribution-Free Uncertainty Quantification for Neural Operators"
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- Sep 14, 04:00 UTC arXiv cs.LG lead source Physics-Informed Conformal Prediction: Embedding PDE Consistency into Distribution-Free Uncertainty Quantification for Neural Operators