Reliable quantification of epistemic and aleatoric uncertainty is of crucial importance in
applications where models are trained in one environment but applied to multiple different …

Diffusion probabilistic models (DPMs) have rapidly evolved to be one of the predominant
generative models for the simulation of synthetic data, for instance, for computer vision …