PriorCVAE: scalable MCMC parameter inference with Bayesian deep generative modelling

2 code implementations • 9 Apr 2023 • Elizaveta Semenova, Prakhar Verma, Max Cairney-Leeming, Arno Solin, Samir Bhatt, Seth Flaxman

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

Bayesian Inference Gaussian Processes