v1v2v3 (latest)

Learning Generative Models with Sinkhorn Divergences

1 June 2017

Papers citing "Learning Generative Models with Sinkhorn Divergences"

32 / 382 papers shown

Title
Sorting out Lipschitz function approximation Cem Anil James Lucas Roger C. Grosse 98 325 0 13 Nov 2018
Empirical Regularized Optimal Transport: Statistical Theory and Applications M. Klatt Carla Tameling Axel Munk OT 81 61 0 23 Oct 2018
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences Jean Feydy Thibault Séjourné François-Xavier Vialard S. Amari A. Trouvé Gabriel Peyré OT 138 533 0 18 Oct 2018
Point Cloud GAN Chun-Liang Li Manzil Zaheer Yang Zhang Barnabás Póczós Ruslan Salakhutdinov 3DPC 99 212 0 13 Oct 2018
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs Yogesh Balaji Hamed Hassani Rama Chellappa Soheil Feizi GAN DRL 88 21 0 09 Oct 2018
Sample Complexity of Sinkhorn divergences Aude Genevay Lénaïc Chizat Francis R. Bach Marco Cuturi Gabriel Peyré OT 105 291 0 05 Oct 2018
Sinkhorn AutoEncoders Giorgio Patrini Rianne van den Berg Patrick Forré M. Carioni Samarth Bhargav Max Welling Tim Genewein Frank Nielsen DiffM 76 0 0 02 Oct 2018
Entropic optimal transport is maximum-likelihood deconvolution Philippe Rigollet Jonathan Niles-Weed OT 98 78 0 14 Sep 2018
Second-order Democratic Aggregation Tsung-Yu Lin Subhransu Maji Piotr Koniusz 60 31 0 22 Aug 2018
Neural Network Encapsulation Hongyang Li Xiaoyang Guo Bo Dai Wanli Ouyang Xiaogang Wang 62 51 0 11 Aug 2018
Towards Optimal Transport with Global Invariances David Alvarez-Melis Stefanie Jegelka Tommi Jaakkola OT 92 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 98 122 0 21 Jun 2018
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance Giulia Luise Alessandro Rudi Massimiliano Pontil C. Ciliberto OT 91 133 0 30 May 2018
On gradient regularizers for MMD GANs Michael Arbel Danica J. Sutherland Mikolaj Binkowski Arthur Gretton 97 95 0 29 May 2018
Wasserstein Variational Inference L. Ambrogioni Umut Güçlü Yağmur Güçlütürk Max Hinne E. Maris Marcel van Gerven BDL DRL 118 42 0 29 May 2018
Unsupervised Alignment of Embeddings with Wasserstein Procrustes Edouard Grave Armand Joulin Quentin Berthet 91 199 0 29 May 2018
Optimal Transport for structured data with application on graphs Titouan Vayer Laetitia Chapel Rémi Flamary R. Tavenard Nicolas Courty OT 97 275 0 23 May 2018
Wasserstein Measure Coresets Sebastian Claici Aude Genevay Justin Solomon 28 14 0 18 May 2018
Generative Adversarial Networks (GANs): What it can generate and What it cannot? P Manisha Sujit Gujar GAN 35 0 0 31 Mar 2018
Improving GANs Using Optimal Transport Tim Salimans Han Zhang Alec Radford Dimitris N. Metaxas OT GAN 125 324 0 15 Mar 2018
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 347 2,172 0 01 Mar 2018
Distance Measure Machines A. Rakotomamonjy Abraham Traoré Maxime Bérar Rémi Flamary Nicolas Courty 64 12 0 01 Mar 2018
Learning Latent Permutations with Gumbel-Sinkhorn Networks Gonzalo E. Mena David Belanger Scott W. Linderman Jasper Snoek 123 272 0 23 Feb 2018
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport Maziar Sanjabi Jimmy Ba Meisam Razaviyayn Jason D. Lee GAN 107 139 0 22 Feb 2018
Learning to Match via Inverse Optimal Transport Ruilin Li X. Ye Haomin Zhou H. Zha FedML 91 49 0 10 Feb 2018
Innovative Non-parametric Texture Synthesis via Patch Permutations Ryan Webster 38 4 0 14 Jan 2018
Demystifying MMD GANs Mikolaj Binkowski Danica J. Sutherland Michael Arbel Arthur Gretton EGVM 274 1,507 0 04 Jan 2018
Sobolev GAN Youssef Mroueh Chun-Liang Li Tom Sercu Anant Raj Yu Cheng 67 117 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 98 8 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 63 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 116 138 0 07 Aug 2017
Semi-discrete optimal transport - the case p=1 Valentin N. Hartmann Dominic Schuhmacher OT 51 9 0 23 Jun 2017