Augmented Normalizing Flows: Bridging the Gap Between Generative Flows
and Latent Variable Models

Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models

17 February 2020

Aaron Courville

Papers citing "Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models"

17 / 67 papers shown

Title
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 74 1,805 0 15 Jun 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 337 8,999 0 10 Jun 2016
Towards a Neural Statistician Harrison Edwards Amos Storkey BDL 37 428 0 07 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 162 3,670 0 26 May 2016
A Variational Perspective on Accelerated Methods in Optimization Andre Wibisono Ashia Wilson Michael I. Jordan 74 572 0 14 Mar 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks Tim Salimans Diederik P. Kingma ODL 132 1,933 0 25 Feb 2016
Ladder Variational Autoencoders C. Sønderby T. Raiko Lars Maaløe Søren Kaae Sønderby Ole Winther BDL DRL 65 907 0 06 Feb 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 375 2,563 0 25 Jan 2016
Hierarchical Variational Models Rajesh Ranganath Dustin Tran David M. Blei DRL VLM 49 334 0 07 Nov 2015
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 189 1,240 0 01 Sep 2015
A Recurrent Latent Variable Model for Sequential Data Junyoung Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron Courville Yoshua Bengio DRL BDL 61 1,250 0 07 Jun 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 234 4,143 0 21 May 2015
Early Stopping is Nonparametric Variational Inference D. Maclaurin David Duvenaud Ryan P. Adams BDL 51 95 0 06 Apr 2015
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 191 8,351 0 28 Nov 2014
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 69 2,246 0 30 Oct 2014
High-Dimensional Probability Estimation with Deep Density Models Oren Rippel Ryan P. Adams 90 124 0 20 Feb 2013
MCMC using Hamiltonian dynamics Radford M. Neal 280 3,278 0 09 Jun 2012