UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs

Philipp Oberdiek, Gernot A. Fink, Matthias Rottmann

We present an approach to quantifying both aleatoric and epistemic uncertainty for deep neural networks in image classification, based on generative adversarial networks (GANs). Wh…