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Deep Unsupervised Learning using Nonequilibrium Thermodynamics

12 March 2015

Jascha Narain Sohl-Dickstein

Papers citing "Deep Unsupervised Learning using Nonequilibrium Thermodynamics"

50 / 4,616 papers shown

Title
High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images Stephan J. Garbin Marek Kowalski Matthew W. Johnson Jamie Shotton 3DH 151 9 0 26 Jun 2020
Locally Masked Convolution for Autoregressive Models Ajay Jain Pieter Abbeel Deepak Pathak DiffM OffRL 120 32 0 22 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 1.0K 18,532 0 19 Jun 2020
Latent Transformations for Discrete-Data Normalising Flows Rob D. Hesselink Wilker Aziz DRL 54 1 0 11 Jun 2020
Gaussian Gated Linear Networks David Budden Adam H. Marblestone Eren Sezener Tor Lattimore Greg Wayne J. Veness BDL AI4CE 67 12 0 10 Jun 2020
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey Konstantinos Benidis Syama Sundar Rangapuram Valentin Flunkert Bernie Wang Danielle C. Maddix ... David Salinas Lorenzo Stella François-Xavier Aubet Laurent Callot Tim Januschowski AI4TS 99 201 0 21 Apr 2020
Training Deep Energy-Based Models with f-Divergence Minimization Lantao Yu Yang Song Jiaming Song Stefano Ermon 238 44 0 06 Mar 2020
Stochastic Normalizing Flows Hao Wu Jonas Köhler Frank Noé 156 186 0 16 Feb 2020
Learning Generative Models using Denoising Density Estimators Siavash Bigdeli Geng Lin Tiziano Portenier L. A. Dunbar Matthias Zwicker DiffM 108 16 0 08 Jan 2020
Hidden Unit Specialization in Layered Neural Networks: ReLU vs. Sigmoidal Activation Elisa Oostwal Michiel Straat Michael Biehl MLT 92 56 0 16 Oct 2019
Regularising Deep Networks with Deep Generative Models M. Willetts A. Camuto Stephen J. Roberts Chris Holmes UQCV 22 0 0 25 Sep 2019
Normalizing Flows: An Introduction and Review of Current Methods I. Kobyzev S. Prince Marcus A. Brubaker TPM MedIm 100 58 0 25 Aug 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 273 3,972 0 12 Jul 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 235 2,385 0 06 Jun 2019
Variational Auto-Decoder: A Method for Neural Generative Modeling from Incomplete Data Amir Zadeh Y. Lim Paul Pu Liang Louis-Philippe Morency DRL 67 16 0 03 Mar 2019
Learning about an exponential amount of conditional distributions Mohamed Ishmael Belghazi Maxime Oquab Yann LeCun David Lopez-Paz BDL SSL 66 28 0 22 Feb 2019
Neural Joint Source-Channel Coding Kristy Choi Kedar Tatwawadi Aditya Grover Tsachy Weissman Stefano Ermon 64 39 0 19 Nov 2018
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning Charles H. Martin Michael W. Mahoney AI4CE 137 201 0 02 Oct 2018
Monge-Ampère Flow for Generative Modeling Linfeng Zhang E. Weinan Lei Wang DRL 97 63 0 26 Sep 2018
Generative Adversarial Networks with Decoder-Encoder Output Noise G. Zhong Wei Gao Yongbin Liu Youzhao Yang GAN 68 7 0 11 Jul 2018
Mixed batches and symmetric discriminators for GAN training Thomas Lucas Corentin Tallec Jakob Verbeek Yann Ollivier 58 37 0 19 Jun 2018
Variational Autoencoder with Arbitrary Conditioning Oleg Ivanov Michael Figurnov Dmitry Vetrov BDL DRL 94 147 0 06 Jun 2018
Transportation analysis of denoising autoencoders: a novel method for analyzing deep neural networks Sho Sonoda Noboru Murata 56 7 0 12 Dec 2017
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models Alex Lamb R. Devon Hjelm Yaroslav Ganin Joseph Paul Cohen Aaron Courville Yoshua Bengio GAN 72 13 0 12 Dec 2017
Unsupervised Multi-Domain Image Translation with Domain-Specific Encoders/Decoders Le Hui Xiang Li Jiaxin Chen Hongliang He Chen Gong Jian Yang 61 43 0 06 Dec 2017
Generalizing Hamiltonian Monte Carlo with Neural Networks Daniel Levy Matthew D. Hoffman Jascha Narain Sohl-Dickstein BDL 87 130 0 25 Nov 2017
Learning Markov Chain in Unordered Dataset Yao-Hung Hubert Tsai Haiying Zhao Ruslan Salakhutdinov Nebojsa Jojic CML 81 1 0 08 Nov 2017
Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net Anirudh Goyal Nan Rosemary Ke Surya Ganguli Yoshua Bengio DiffM 151 55 0 07 Nov 2017
Image Disguise based on Generative Model X. Duan Haoxian Song E. Zhang Jingjing Liu DiffM 37 1 0 21 Oct 2017
Continuous-Time Flows for Efficient Inference and Density Estimation Changyou Chen Chunyuan Li Liquan Chen Wenlin Wang Yunchen Pu Lawrence Carin TPM 129 57 0 04 Sep 2017
Optimizing the Latent Space of Generative Networks Piotr Bojanowski Armand Joulin David Lopez-Paz Arthur Szlam GAN 121 417 0 18 Jul 2017
Inference in Deep Networks in High Dimensions A. Fletcher S. Rangan BDL 134 69 0 20 Jun 2017
Sliced Wasserstein Generative Models Jiqing Wu Zhiwu Huang Dinesh Acharya Wen Li Janine Thoma Danda Pani Paudel Luc Van Gool DiffM 54 0 0 08 Jun 2017
Annealed Generative Adversarial Networks Arash Mehrjou Bernhard Schölkopf Saeed Saremi GAN 56 13 0 21 May 2017
Learning to Generate Samples from Noise through Infusion Training Florian Bordes S. Honari Pascal Vincent GAN DiffM 92 44 0 20 Mar 2017
Learning Hierarchical Features from Generative Models Shengjia Zhao Jiaming Song Stefano Ermon BDL GAN OOD DRL 89 74 0 27 Feb 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications Tim Salimans A. Karpathy Xi Chen Diederik P. Kingma 148 945 0 19 Jan 2017
PixelCNN Models with Auxiliary Variables for Natural Image Modeling Alexander Kolesnikov Christoph H. Lampert GAN 71 3 0 24 Dec 2016
An Architecture for Deep, Hierarchical Generative Models Philip Bachman AI4CE BDL 96 53 0 08 Dec 2016
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks Emily L. Denton Sam Gross Rob Fergus GAN 90 152 0 19 Nov 2016
Variational Lossy Autoencoder Xi Chen Diederik P. Kingma Tim Salimans Yan Duan Prafulla Dhariwal John Schulman Ilya Sutskever Pieter Abbeel DRL SSL GAN 217 676 0 08 Nov 2016
Unrolled Generative Adversarial Networks Luke Metz Ben Poole David Pfau Jascha Narain Sohl-Dickstein GAN 173 1,007 0 07 Nov 2016
Tensorial Mixture Models Or Sharir Ronen Tamari Nadav Cohen Amnon Shashua TPM 90 25 0 13 Oct 2016
Coupled Generative Adversarial Networks Ming-Yuan Liu Oncel Tuzel OOD GAN 142 1,631 0 24 Jun 2016
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 298 2,522 0 16 Jun 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 162 1,828 0 15 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 205 1,659 0 02 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 279 3,731 0 26 May 2016
Transport Analysis of Infinitely Deep Neural Network Sho Sonoda Noboru Murata 36 4 0 10 May 2016
Towards Conceptual Compression Karol Gregor F. Besse Danilo Jimenez Rezende Ivo Danihelka Daan Wierstra DRL OCL SSL BDL 101 248 0 29 Apr 2016