Eduardo Adame

Image Super-Resolution with Guarantees via Conformalized Generative Models

The increasing use of generative ML foundation models for image restoration tasks such as super-resolution calls for robust and interpretable uncertainty quantification methods. We address this need by presenting a novel approach based on conformal prediction techniques to create a `confidence mask'…