Training generative neural networks via Maximum Mean Discrepancy optimization

14 May 2015

Gintare Karolina Dziugaite

Papers citing "Training generative neural networks via Maximum Mean Discrepancy optimization"

25 / 125 papers shown

Title
On Unifying Deep Generative Models Zhiting Hu Zichao Yang Ruslan Salakhutdinov Eric Xing DRL GAN 41 127 0 02 Jun 2017
Learning Generative Models with Sinkhorn Divergences Aude Genevay Gabriel Peyré Marco Cuturi OT 64 619 0 01 Jun 2017
Fisher GAN Youssef Mroueh Tom Sercu GAN AI4CE 22 132 0 26 May 2017
Geometric GAN Jae Hyun Lim J. C. Ye GAN 26 516 0 08 May 2017
The Pose Knows: Video Forecasting by Generating Pose Futures Jacob Walker Kenneth Marino Abhinav Gupta M. Hebert 35 349 0 28 Apr 2017
Triple Generative Adversarial Nets Chongxuan Li T. Xu Jun Zhu Bo Zhang GAN 42 449 0 07 Mar 2017
Hierarchical Implicit Models and Likelihood-Free Variational Inference Dustin Tran Rajesh Ranganath David M. Blei VLM GAN 30 100 0 28 Feb 2017
On the ability of neural nets to express distributions Holden Lee Rong Ge Tengyu Ma Andrej Risteski Sanjeev Arora BDL 26 84 0 22 Feb 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 78 4,809 0 26 Jan 2017
Adversarial Message Passing For Graphical Models Theofanis Karaletsos GAN 27 29 0 15 Dec 2016
Max-Margin Deep Generative Models for (Semi-)Supervised Learning Chongxuan Li Jun Zhu Bo Zhang AI4CE 32 42 0 22 Nov 2016
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks Emily L. Denton Sam Gross Rob Fergus GAN 27 150 0 19 Nov 2016
Associative Adversarial Networks Tarik Arici Asli Celikyilmaz GAN 34 17 0 18 Nov 2016
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy Danica J. Sutherland H. Tung Heiko Strathmann Soumyajit De Aaditya Ramdas Alex Smola Arthur Gretton 32 255 0 14 Nov 2016
On the Quantitative Analysis of Decoder-Based Generative Models Yuhuai Wu Yuri Burda Ruslan Salakhutdinov Roger C. Grosse GAN 22 223 0 14 Nov 2016
Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning Dilin Wang Qiang Liu GAN BDL 38 118 0 06 Nov 2016
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 83 391 0 20 Oct 2016
Removal of Batch Effects using Distribution-Matching Residual Networks Uri Shaham Kelly P. Stanton Jun Zhao Huamin Li K. Raddassi Ruth R. Montgomery Y. Kluger 26 160 0 13 Oct 2016
Learning in Implicit Generative Models S. Mohamed Balaji Lakshminarayanan GAN 25 412 0 11 Oct 2016
Estimating individual treatment effect: generalization bounds and algorithms Uri Shalit Fredrik D. Johansson David Sontag CML OOD 24 12 0 13 Jun 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 158 8,937 0 10 Jun 2016
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images Dmitry Ulyanov V. Lebedev Andrea Vedaldi Victor Lempitsky 3DH 14 943 0 10 Mar 2016
How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary? Ferenc Huszár OOD DiffM GAN 28 296 0 16 Nov 2015
A note on the evaluation of generative models Lucas Theis Aaron van den Oord Matthias Bethge EGVM 35 1,132 0 05 Nov 2015
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 62 1,236 0 01 Sep 2015