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Tutorial: Deriving the Standard Variational Autoencoder (VAE) Loss
  Function

Tutorial: Deriving the Standard Variational Autoencoder (VAE) Loss Function

21 July 2019
Stephen G. Odaibo
    GANBDLDRL
ArXiv (abs)PDFHTML

Papers citing "Tutorial: Deriving the Standard Variational Autoencoder (VAE) Loss Function"

6 / 6 papers shown
Title
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations
Julius Aka
Johannes Brunnemann
Jörg Eiden
Arne Speerforck
Lars Mikelsons
81
0
0
14 Oct 2024
retina-VAE: Variationally Decoding the Spectrum of Macular Disease
retina-VAE: Variationally Decoding the Spectrum of Macular Disease
Stephen G. Odaibo
22
3
0
11 Jul 2019
Adversarial Symmetric Variational Autoencoder
Adversarial Symmetric Variational Autoencoder
Yunchen Pu
Weiyao Wang
Ricardo Henao
Liqun Chen
Zhe Gan
Chunyuan Li
Lawrence Carin
DRLGAN
73
78
0
14 Nov 2017
Symmetric Variational Autoencoder and Connections to Adversarial
  Learning
Symmetric Variational Autoencoder and Connections to Adversarial Learning
Liqun Chen
Shuyang Dai
Yunchen Pu
Chunyuan Li
Weiyao Wang
Lawrence Carin
DRLGAN
78
71
0
06 Sep 2017
Towards Principled Methods for Training Generative Adversarial Networks
Towards Principled Methods for Training Generative Adversarial Networks
Martín Arjovsky
M. Nault
GAN
83
2,109
0
17 Jan 2017
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
452
16,929
0
20 Dec 2013
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