PriorCVAE: scalable MCMC parameter inference with Bayesian deep generative modelling

Elizaveta Semenova, Prakhar Verma, Max Cairney-Leeming +3

Recent advances have shown that GP priors, or their finite realisations, can be encoded using deep generative models such as variational autoencoders (VAEs). These learned generato…