Marcel Hirt | DeepAI

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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...

0 Marcel Hirt, et al. ∙

∙ 08/26/2023

Learning variational autoencoders via MCMC speed measures

Variational autoencoders (VAEs) are popular likelihood-based generative ...

0 Marcel Hirt, et al. ∙

∙ 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...

0 Marcel Hirt, et al. ∙

∙ 10/27/2021

Entropy-based adaptive Hamiltonian Monte Carlo

Hamiltonian Monte Carlo (HMC) is a popular Markov Chain Monte Carlo (MCM...

0 Marcel Hirt, et al. ∙

∙ 04/15/2019

Copula-like Variational Inference

This paper considers a new family of variational distributions motivated...

0 Marcel Hirt, et al. ∙

∙ 05/23/2018

Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers

We present a scalable approach to performing approximate fully Bayesian ...

0 Marcel Hirt, et al. ∙

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