Adaptive Conformal Prediction for Image Regression Models with Application to an Inertial Confinement Fusion Emulator
arXiv:2610.00535v1 Announce Type: new Abstract: Uncertainty quantification is critical in scientific machine learning, where black-box, image-based models are increasingly deployed in high-stakes settings. In many such applications, model outputs inform costly decisions, yet most methods provide on…
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- 2026-10-02 04:00 · arXiv stat.ML
Adaptive Conformal Prediction for Image Regression Models with Application to an Inertial Confinement Fusion Emulator