Conformal Uncertainty Quantification Guarantees for Neural Operators
This work develops a split conformal framework to guarantee that a calibrated pointwise band around the neural operator output contains the true solution on at least a $1-\gamma$ fraction of the evaluation domain, with probability at least $1-\alpha$ over test and calibration inputs.
Tom Stent, N. Boullé
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