Uncertainty Quantification for Generative Machine Learning Models

Generative machine learning models are a recent class of models focused on taking a set of samples from some target distribution and producing a model which generates new samples which come from a distribution close to the target one. In the literature, the strong approximation ability of deep neural networks is often exploited in order to…