First application of split conformal prediction to neural operators, providing distribution-free intervals with 89.1% empirical coverage on heat conduction benchmarks and an adaptive normalized variant using MC Dropout.
Uncertainty quantification and deep ensembles
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Conformal Prediction for Neural Operators: Distribution-Free Uncertainty Quantification in Physics Simulation
First application of split conformal prediction to neural operators, providing distribution-free intervals with 89.1% empirical coverage on heat conduction benchmarks and an adaptive normalized variant using MC Dropout.