Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

22 / 3,572 papers shown

Title
A Recurrent Latent Variable Model for Sequential Data Junyoung Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron Courville Yoshua Bengio DRL BDL 42 1,244 0 07 Jun 2015
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 213 745 0 06 Jun 2015
Dropout as a Bayesian Approximation: Appendix Y. Gal Zoubin Ghahramani BDL 24 64 0 06 Jun 2015
Automatic Relevance Determination For Deep Generative Models Theofanis Karaletsos Gunnar Rätsch 33 8 0 28 May 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 110 4,114 0 21 May 2015
Weight Uncertainty in Neural Networks Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra UQCV BDL 38 1,874 0 20 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 115 6,665 0 12 Mar 2015
Deep Convolutional Inverse Graphics Network Tejas D. Kulkarni William F. Whitney Pushmeet Kohli J. Tenenbaum DRL BDL 50 929 0 11 Mar 2015
Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data Y. Gal Yutian Chen Zoubin Ghahramani SyDa 45 41 0 07 Mar 2015
Automatic differentiation in machine learning: a survey A. G. Baydin Barak A. Pearlmutter Alexey Radul J. Siskind PINN AI4CE ODL 75 2,754 0 20 Feb 2015
DRAW: A Recurrent Neural Network For Image Generation Karol Gregor Ivo Danihelka Alex Graves Danilo Jimenez Rezende Daan Wierstra GAN DRL 79 1,957 0 16 Feb 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Ke Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron Courville Ruslan Salakhutdinov R. Zemel Yoshua Bengio DiffM 169 10,018 0 10 Feb 2015
Generative Class-conditional Autoencoders Jan Rudy Graham W. Taylor DRL 31 7 0 22 Dec 2014
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 95 149,056 0 22 Dec 2014
Learning Stochastic Recurrent Networks Justin Bayer Christian Osendorfer BDL 40 273 0 27 Nov 2014
Variational Inference for Uncertainty on the Inputs of Gaussian Process Models Andreas C. Damianou Michalis K. Titsias Neil D. Lawrence 47 25 0 08 Sep 2014
How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation Yoshua Bengio 53 181 0 29 Jul 2014
Techniques for Learning Binary Stochastic Feedforward Neural Networks T. Raiko Mathias Berglund Guillaume Alain Laurent Dinh BDL 65 126 0 11 Jun 2014
Variational inference of latent state sequences using Recurrent Networks Justin Bayer Christian Osendorfer DRL BDL 55 1 0 06 Jun 2014
Structured Stochastic Variational Inference Matthew D. Hoffman David M. Blei BDL 42 87 0 16 Apr 2014
Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets Diederik P. Kingma Max Welling BDL 44 61 0 03 Feb 2014
On Using Control Variates with Stochastic Approximation for Variational Bayes and its Connection to Stochastic Linear Regression Tim Salimans David A. Knowles BDL 48 33 0 06 Jan 2014