Generalized Energy Based Models

10 March 2020

Papers citing "Generalized Energy Based Models"

50 / 71 papers shown

Title
Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces Viktor Stein Sebastian Neumayer Gabriele Steidl Nicolaj Rux 90 10 0 07 Feb 2024
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 221 30,089 0 01 Mar 2022
The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods L. Thiry Michael Arbel Eugene Belilovsky Edouard Oyallon AAML 44 14 0 19 Jan 2021
Residual Energy-Based Models for Text Generation Yuntian Deng A. Bakhtin Myle Ott Arthur Szlam MarcÁurelio Ranzato 62 132 0 22 Apr 2020
Flows for simultaneous manifold learning and density estimation Johann Brehmer Kyle Cranmer DRL AI4CE 84 162 0 31 Mar 2020
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling Tong Che Ruixiang Zhang Jascha Narain Sohl-Dickstein Hugo Larochelle Liam Paull Yuan Cao Yoshua Bengio DiffM DRL 58 114 0 12 Mar 2020
Training Deep Energy-Based Models with f-Divergence Minimization Lantao Yu Yang Song Jiaming Song Stefano Ermon 219 42 0 06 Mar 2020
Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise Umut Simsekli Lingjiong Zhu Yee Whye Teh Mert Gurbuzbalaban 34 49 0 13 Feb 2020
Smoothness and Stability in GANs Casey Chu Kentaro Minami Kenji Fukumizu GAN 43 56 0 11 Feb 2020
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One Will Grathwohl Kuan-Chieh Wang J. Jacobsen David Duvenaud Mohammad Norouzi Kevin Swersky VLM 76 542 0 06 Dec 2019
LOGAN: Latent Optimisation for Generative Adversarial Networks Yongpeng Wu Jeff Donahue David Balduzzi Karen Simonyan Timothy Lillicrap GAN 53 88 0 02 Dec 2019
Energy-Inspired Models: Learning with Sampler-Induced Distributions Dieterich Lawson George Tucker Bo Dai Rajesh Ranganath 45 31 0 31 Oct 2019
Kernelized Wasserstein Natural Gradient Michael Arbel Arthur Gretton Wuchen Li Guido Montúfar 48 22 0 21 Oct 2019
Discriminator optimal transport A. Tanaka OT 48 54 0 15 Oct 2019
Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns Jianwen Xie Song-Chun Zhu Ying Nian Wu GAN 58 52 0 26 Sep 2019
Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus Loss Xin Ding Z. Jane Wang William J. Welch 109 18 0 24 Sep 2019
Large Scale Adversarial Representation Learning Jeff Donahue Karen Simonyan SSL 122 543 0 04 Jul 2019
Efficient Algorithms for Smooth Minimax Optimization K. K. Thekumparampil Prateek Jain Praneeth Netrapalli Sewoong Oh 72 192 0 02 Jul 2019
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting Aditya Grover Jiaming Song Alekh Agarwal Kenneth Tran Ashish Kapoor Eric Horvitz Stefano Ermon 51 124 0 23 Jun 2019
The Implicit Metropolis-Hastings Algorithm Kirill Neklyudov Evgenii Egorov Dmitry Vetrov 33 5 0 09 Jun 2019
Deep Compressed Sensing Yan Wu Mihaela Rosca Timothy Lillicrap GAN 72 165 0 16 May 2019
Exponential Family Estimation via Adversarial Dynamics Embedding Bo Dai Ziqiang Liu H. Dai Niao He Arthur Gretton Le Song Dale Schuurmans 60 53 0 27 Apr 2019
Metropolis-Hastings Generative Adversarial Networks Ryan D. Turner Jane Hung Eric Frank Yunus Saatci J. Yosinski GAN 46 99 0 28 Nov 2018
Self-Supervised GANs via Auxiliary Rotation Loss Ting Chen Xiaohua Zhai Marvin Ritter Mario Lucic N. Houlsby SSL GAN 71 302 0 27 Nov 2018
Learning deep kernels for exponential family densities W. Li Danica J. Sutherland Heiko Strathmann Arthur Gretton BDL 41 74 0 20 Nov 2018
Kernel Exponential Family Estimation via Doubly Dual Embedding Heike Adel H. Dai Arthur Gretton Le Song Dale Schuurmans Niao He 32 36 0 06 Nov 2018
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences Jean Feydy Thibault Séjourné François-Xavier Vialard S. Amari A. Trouvé Gabriel Peyré OT 55 526 0 18 Oct 2018
Discriminator Rejection Sampling S. Azadi Catherine Olsson Trevor Darrell Ian Goodfellow Augustus Odena 61 131 0 16 Oct 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 237 5,381 0 28 Sep 2018
Autoregressive Quantile Networks for Generative Modeling Georg Ostrovski Will Dabney Rémi Munos DRL 70 87 0 14 Jun 2018
On gradient regularizers for MMD GANs Michael Arbel Danica J. Sutherland Mikolaj Binkowski Arthur Gretton 61 95 0 29 May 2018
Learning Descriptor Networks for 3D Shape Synthesis and Analysis Jianwen Xie Zilong Zheng Ruiqi Gao Wenguan Wang Song-Chun Zhu Ying Nian Wu GAN 3DV 59 146 0 02 Apr 2018
Learning Approximate Inference Networks for Structured Prediction Lifu Tu Kevin Gimpel BDL 43 53 0 09 Mar 2018
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport Maziar Sanjabi Jimmy Ba Meisam Razaviyayn Jason D. Lee GAN 65 137 0 22 Feb 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 155 4,433 0 16 Feb 2018
$Stochastic subgradient method converges at the rate $O(k^{-1/4})$ on weakly convex functions$ Stochastic subgradient method converges at the rate $O(k^{-1/4})$ on weakly convex functions Damek Davis Dmitriy Drusvyatskiy 58 101 0 08 Feb 2018
Demystifying MMD GANs Mikolaj Binkowski Danica J. Sutherland Michael Arbel Arthur Gretton EGVM 112 1,487 0 04 Jan 2018
Geometrical Insights for Implicit Generative Modeling Léon Bottou Martín Arjovsky David Lopez-Paz Maxime Oquab 52 49 0 21 Dec 2017
Kernel Conditional Exponential Family Michael Arbel Arthur Gretton 50 25 0 15 Nov 2017
On the Discrimination-Generalization Tradeoff in GANs Pengchuan Zhang Qiang Liu Dengyong Zhou Tao Xu Xiaodong He 57 103 0 07 Nov 2017
Dual Discriminator Generative Adversarial Nets T. Nguyen Trung Le H. Vu Dinh Q. Phung GAN 48 310 0 12 Sep 2017
Underdamped Langevin MCMC: A non-asymptotic analysis Xiang Cheng Niladri S. Chatterji Peter L. Bartlett Michael I. Jordan 82 297 0 12 Jul 2017
Gradient descent GAN optimization is locally stable Vaishnavh Nagarajan J. Zico Kolter GAN 69 348 0 13 Jun 2017
Approximation and Convergence Properties of Generative Adversarial Learning Shuang Liu Olivier Bousquet Kamalika Chaudhuri 41 138 0 24 May 2017
MMD GAN: Towards Deeper Understanding of Moment Matching Network Chun-Liang Li Wei-Cheng Chang Yu Cheng Yiming Yang Barnabás Póczós GAN 66 721 0 24 May 2017
Efficient and principled score estimation with Nyström kernel exponential families Danica J. Sutherland Heiko Strathmann Michael Arbel Arthur Gretton 40 24 0 23 May 2017
Masked Autoregressive Flow for Density Estimation George Papamakarios Theo Pavlakou Iain Murray 168 1,349 0 19 May 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 167 9,533 0 31 Mar 2017
Generalization and Equilibrium in Generative Adversarial Nets (GANs) Sanjeev Arora Rong Ge Yingyu Liang Tengyu Ma Yi Zhang GAN 54 688 0 02 Mar 2017
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis Maxim Raginsky Alexander Rakhlin Matus Telgarsky 70 521 0 13 Feb 2017