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Learning in Variational Autoencoders with Kullback-Leibler and Renyi
  Integral Bounds

Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds

5 July 2018
Septimia Sârbu
Riccardo Volpi
Alexandra Peste
Luigi Malagò
    DRL
ArXiv (abs)PDFHTML

Papers citing "Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds"

6 / 6 papers shown
Title
Tighter Variational Bounds are Not Necessarily Better
Tighter Variational Bounds are Not Necessarily Better
Tom Rainforth
Adam R. Kosiorek
T. Le
Chris J. Maddison
Maximilian Igl
Frank Wood
Yee Whye Teh
DRL
172
198
0
13 Feb 2018
Conditional Image Generation with PixelCNN Decoders
Conditional Image Generation with PixelCNN Decoders
Aaron van den Oord
Nal Kalchbrenner
Oriol Vinyals
L. Espeholt
Alex Graves
Koray Kavukcuoglu
VLM
214
2,517
0
16 Jun 2016
Variational inference for Monte Carlo objectives
Variational inference for Monte Carlo objectives
A. Mnih
Danilo Jimenez Rezende
DRLBDL
161
291
0
22 Feb 2016
Denoising Criterion for Variational Auto-Encoding Framework
Denoising Criterion for Variational Auto-Encoding Framework
Daniel Jiwoong Im
Sungjin Ahn
Roland Memisevic
Yoshua Bengio
81
196
0
19 Nov 2015
Importance Weighted Autoencoders
Importance Weighted Autoencoders
Yuri Burda
Roger C. Grosse
Ruslan Salakhutdinov
BDL
280
1,246
0
01 Sep 2015
Generalized Denoising Auto-Encoders as Generative Models
Generalized Denoising Auto-Encoders as Generative Models
Yoshua Bengio
L. Yao
Guillaume Alain
Pascal Vincent
118
540
0
29 May 2013
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