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09/01/2023
Learning multi-modal generative models with permutation-invariant encoders and tighter variational bounds
Devising deep latent variable models for multi-modal data has been a lon...
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08/26/2023
Learning variational autoencoders via MCMC speed measures
Variational autoencoders (VAEs) are popular likelihood-based generative ...
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11/14/2022
A Bayesian framework for genome-wide inference of DNA methylation levels
DNA methylation is an important epigenetic mark that has been studied ex...
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10/27/2021
Entropy-based adaptive Hamiltonian Monte Carlo
Hamiltonian Monte Carlo (HMC) is a popular Markov Chain Monte Carlo (MCM...
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04/15/2019
Copula-like Variational Inference
This paper considers a new family of variational distributions motivated...
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05/23/2018