Conformal prediction applied to ensembles of KANs, FBKANs, and MFKANs yields prediction intervals that empirically hit the target 95% coverage on four synthetic problems.
On the representations of continuous functions of many variables by superposition of continuous functions of one variable and addition
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Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning
Conformal prediction applied to ensembles of KANs, FBKANs, and MFKANs yields prediction intervals that empirically hit the target 95% coverage on four synthetic problems.