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A Tutorial on VAEs: From Bayes' Rule to Lossless Compression

A Tutorial on VAEs: From Bayes' Rule to Lossless Compression

18 June 2020
Ronald Yu
    BDL
ArXivPDFHTML

Papers citing "A Tutorial on VAEs: From Bayes' Rule to Lossless Compression"

5 / 5 papers shown
Title
DA-VEGAN: Differentiably Augmenting VAE-GAN for microstructure
  reconstruction from extremely small data sets
DA-VEGAN: Differentiably Augmenting VAE-GAN for microstructure reconstruction from extremely small data sets
Yichi Zhang
P. Seibert
Alexandra Otto
Alexander Raßloff
M. Ambati
M. Kastner
SyDa
29
21
0
17 Feb 2023
Interpreting Latent Spaces of Generative Models for Medical Images using
  Unsupervised Methods
Interpreting Latent Spaces of Generative Models for Medical Images using Unsupervised Methods
Julian Schon
Raghavendra Selvan
Jens Petersen
MedIm
26
4
0
20 Jul 2022
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular
  Linker Design
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design
Yinan Huang
Xing Peng
Jianzhu Ma
Muhan Zhang
BDL
35
48
0
15 May 2022
Efficient-VDVAE: Less is more
Efficient-VDVAE: Less is more
Louay Hazami
Rayhane Mama
Ragavan Thurairatnam
BDL
29
28
0
25 Mar 2022
Generating Multivariate Load States Using a Conditional Variational
  Autoencoder
Generating Multivariate Load States Using a Conditional Variational Autoencoder
Chenguang Wang
Ensieh Sharifnia
Zhi Gao
Simon Tindemans
Peter Palensky
29
22
0
21 Oct 2021
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