Learning Generative Models with Sinkhorn Divergences

1 June 2017

Papers citing "Learning Generative Models with Sinkhorn Divergences"

25 / 375 papers shown

Title
Entropic optimal transport is maximum-likelihood deconvolution Philippe Rigollet Jonathan Niles-Weed OT 23 76 0 14 Sep 2018
Second-order Democratic Aggregation Tsung-Yu Lin Subhransu Maji Piotr Koniusz 11 30 0 22 Aug 2018
Neural Network Encapsulation Hongyang Li Xiaoyang Guo Bo Dai Wanli Ouyang Xiaogang Wang 11 51 0 11 Aug 2018
Towards Optimal Transport with Global Invariances David Alvarez-Melis Stefanie Jegelka Tommi Jaakkola OT 16 71 0 25 Jun 2018
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions Antoine Liutkus Umut Simsekli Szymon Majewski Alain Durmus Fabian-Robert Stöter DiffM 19 119 0 21 Jun 2018
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance Giulia Luise Alessandro Rudi Massimiliano Pontil C. Ciliberto OT 24 130 0 30 May 2018
On gradient regularizers for MMD GANs Michael Arbel Danica J. Sutherland Mikolaj Binkowski A. Gretton 9 93 0 29 May 2018
Wasserstein Variational Inference L. Ambrogioni Umut Güçlü Yağmur Güçlütürk Max Hinne E. Maris Marcel van Gerven BDL DRL 11 42 0 29 May 2018
Unsupervised Alignment of Embeddings with Wasserstein Procrustes Edouard Grave Armand Joulin Quentin Berthet 9 198 0 29 May 2018
Optimal Transport for structured data with application on graphs Titouan Vayer Laetitia Chapel Rémi Flamary R. Tavenard Nicolas Courty OT 11 263 0 23 May 2018
Wasserstein Measure Coresets Sebastian Claici Aude Genevay Justin Solomon 13 13 0 18 May 2018
Generative Adversarial Networks (GANs): What it can generate and What it cannot? P Manisha Sujit Gujar GAN 18 0 0 31 Mar 2018
Improving GANs Using Optimal Transport Tim Salimans Han Zhang Alec Radford Dimitris N. Metaxas OT GAN 6 322 0 15 Mar 2018
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 14 2,111 0 01 Mar 2018
Distance Measure Machines A. Rakotomamonjy Abraham Traoré Maxime Bérar Rémi Flamary Nicolas Courty 7 12 0 01 Mar 2018
Learning Latent Permutations with Gumbel-Sinkhorn Networks Gonzalo E. Mena David Belanger Scott W. Linderman Jasper Snoek 33 259 0 23 Feb 2018
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport Maziar Sanjabi Jimmy Ba Meisam Razaviyayn J. Lee GAN 17 137 0 22 Feb 2018
Learning to Match via Inverse Optimal Transport Ruilin Li X. Ye Haomin Zhou H. Zha FedML 13 49 0 10 Feb 2018
Innovative Non-parametric Texture Synthesis via Patch Permutations Ryan Webster 15 4 0 14 Jan 2018
Demystifying MMD GANs Mikolaj Binkowski Danica J. Sutherland Michael Arbel A. Gretton EGVM 40 1,446 0 04 Jan 2018
Sobolev GAN Youssef Mroueh Chun-Liang Li Tom Sercu Anant Raj Yu Cheng 8 117 0 14 Nov 2017
A unified framework for hard and soft clustering with regularized optimal transport Jean-Frédéric Diebold Nicolas Papadakis Arnaud Dessein Charles-Alban Deledalle FedML 47 9 0 12 Nov 2017
Parametric Adversarial Divergences are Good Losses for Generative Modeling Gabriel Huang Hugo Berard Ahmed Touati Gauthier Gidel Pascal Vincent Simon Lacoste-Julien GAN 13 1 0 08 Aug 2017
Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning M. Schmitz Matthieu Heitz Nicolas Bonneel Fred-Maurice Ngole-Mboula D. Coeurjolly Marco Cuturi Gabriel Peyré Jean-Luc Starck OT 18 134 0 07 Aug 2017
Semi-discrete optimal transport - the case p=1 Valentin N. Hartmann Dominic Schuhmacher OT 17 8 0 23 Jun 2017