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20232026
most citedConformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks

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cs.LG2025

Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning

Amirhossein Mollaali, Christian Bolivar Moya, Amanda A. Howard +3

This paper explores uncertainty quantification (UQ) methods in the context of Kolmogorov-Arnold Networks (KANs). We apply an ensemble approach to KANs to obtain a heuristic measure…