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Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization

26 December 2018

Papers citing "Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization"

24 / 24 papers shown

Title
On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems Risheng Liu Shichao Cheng Yi He Xin-Yue Fan Zhouchen Lin Zhongxuan Luo 56 68 0 16 Aug 2018
Modeling Sparse Deviations for Compressed Sensing using Generative Models Manik Dhar Aditya Grover Stefano Ermon 64 79 0 04 Jul 2018
Compressed Sensing with Deep Image Prior and Learned Regularization Dave Van Veen A. Jalal Mahdi Soltanolkotabi Eric Price S. Vishwanath A. Dimakis 70 182 0 17 Jun 2018
Amortized Inference Regularization Rui Shu Hung Bui Shengjia Zhao Mykel J. Kochenderfer Stefano Ermon DRL 50 82 0 23 May 2018
ConvCSNet: A Convolutional Compressive Sensing Framework Based on Deep Learning Xiaotong Lu W. Dong Peiyao Wang Guangming Shi Xuemei Xie 58 29 0 31 Jan 2018
InfoVAE: Information Maximizing Variational Autoencoders Shengjia Zhao Jiaming Song Stefano Ermon DRL 95 447 0 07 Jun 2017
Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk Paul Hand V. Voroninski UQCV 140 138 0 22 May 2017
One Network to Solve Them All --- Solving Linear Inverse Problems using Deep Projection Models Jen-Hao Rick Chang Chun-Liang Li Barnabás Póczós B. Kumar Aswin C. Sankaranarayanan 63 348 0 29 Mar 2017
Compressed Sensing using Generative Models Ashish Bora A. Jalal Eric Price A. Dimakis 155 812 0 09 Mar 2017
Deep Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon Kevin Patrick Murphy 128 1,728 0 01 Dec 2016
Variational Lossy Autoencoder Xi Chen Diederik P. Kingma Tim Salimans Yan Duan Prafulla Dhariwal John Schulman Ilya Sutskever Pieter Abbeel DRL SSL GAN 152 676 0 08 Nov 2016
Learning in Implicit Generative Models S. Mohamed Balaji Lakshminarayanan GAN 192 417 0 11 Oct 2016
Variational Information Maximization for Feature Selection Shuyang Gao Greg Ver Steeg Aram Galstyan 46 49 0 09 Jun 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 271 14,023 0 19 Nov 2015
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning S. Mohamed Danilo Jimenez Rezende DRL SSL 99 402 0 29 Sep 2015
A Deep Learning Approach to Structured Signal Recovery Ali Mousavi Ankit B. Patel Richard G. Baraniuk 56 443 0 17 Aug 2015
Gradient Estimation Using Stochastic Computation Graphs John Schulman N. Heess T. Weber Pieter Abbeel OffRL 148 395 0 17 Jun 2015
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 247 8,426 0 28 Nov 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,923 0 20 Dec 2013
Generalized Denoising Auto-Encoders as Generative Models Yoshua Bengio L. Yao Guillaume Alain Pascal Vincent 116 540 0 29 May 2013
What Regularized Auto-Encoders Learn from the Data Generating Distribution Guillaume Alain Yoshua Bengio OOD DRL 72 505 0 18 Nov 2012
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 274 12,458 0 24 Jun 2012
Statistical Compressed Sensing of Gaussian Mixture Models Guoshen Yu Guillermo Sapiro 95 86 0 30 Jan 2011
Simultaneous analysis of Lasso and Dantzig selector Peter J. Bickel Yaácov Ritov Alexandre B. Tsybakov 535 2,531 0 07 Jan 2008