Quantitative Understanding of VAE as a Non-linearly Scaled Isometric Embedding

30 July 2020

Papers citing "Quantitative Understanding of VAE as a Non-linearly Scaled Isometric Embedding"

8 / 8 papers shown

Title
Evaluating Lossy Compression Rates of Deep Generative Models Sicong Huang Alireza Makhzani Yanshuai Cao Roger C. Grosse EGVM DRL 43 27 0 15 Aug 2020
On Implicit Regularization in $β$ -VAEs Abhishek Kumar Ben Poole DRL 52 53 0 31 Jan 2020
Diagnosing and Enhancing VAE Models Bin Dai David Wipf DRL 47 378 0 14 Mar 2019
Variational Autoencoders Pursue PCA Directions (by Accident) Michal Rolínek Dominik Zietlow Georg Martius OOD DRL 51 150 0 17 Dec 2018
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 102 1,451 0 29 Nov 2018
Density Modeling of Images using a Generalized Normalization Transformation Johannes Ballé Valero Laparra Eero P. Simoncelli 41 386 0 19 Nov 2015
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 219 8,351 0 28 Nov 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 382 16,962 0 20 Dec 2013