Search Results for author: Elizaveta Semenova

Found 3 papers, 2 papers with code

PriorCVAE: scalable MCMC parameter inference with Bayesian deep generative modelling

2 code implementations9 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

PriorVAE: Encoding spatial priors with VAEs for small-area estimation

1 code implementation20 Oct 2021 Elizaveta Semenova, Yidan Xu, Adam Howes, Theo Rashid, Samir Bhatt, Swapnil Mishra, Seth Flaxman

Gaussian processes (GPs), implemented through multivariate Gaussian distributions for a finite collection of data, are the most popular approach in small-area spatial statistical modelling.

Gaussian Processes

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