Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction

Ziqi Ma, Kamyar Azizzadenesheli, Anima Anandkumar

Operator learning has been increasingly adopted in scientific and engineering applications, many of which require calibrated uncertainty quantification. Since the output of operato…