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Learning Generative Models with Sinkhorn Divergences

1 June 2017

Papers citing "Learning Generative Models with Sinkhorn Divergences"

50 / 382 papers shown

Title
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport Gilles Puy Alexandre Boulch Renaud Marlet 3DPC OT 216 187 0 22 Jul 2020
A Hölderian backtracking method for min-max and min-min problems Jérôme Bolte Lilian E. Glaudin Edouard Pauwels M. Serrurier 46 9 0 17 Jul 2020
Estimating Barycenters of Measures in High Dimensions Samuel N. Cohen Michael Arbel M. Deisenroth 176 25 0 14 Jul 2020
Representation Transfer by Optimal Transport Xuhong Li Yves Grandvalet Rémi Flamary Nicolas Courty Dejing Dou OT 66 8 0 13 Jul 2020
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks JiaoJiao Fan Amirhossein Taghvaei Yongxin Chen 103 60 0 08 Jul 2020
Learning to Generate Novel Domains for Domain Generalization Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang OOD 184 459 0 07 Jul 2020
Online Domain Adaptation for Occupancy Mapping A. Tompkins Ransalu Senanayake F. Ramos 72 11 0 01 Jul 2020
Space-Time Correspondence as a Contrastive Random Walk Allan Jabri Andrew Owens Alexei A. Efros SSL OT 149 304 0 25 Jun 2020
Multi-source Domain Adaptation via Weighted Joint Distributions Optimal Transport Rosanna Turrisi Rémi Flamary A. Rakotomamonjy Massimiliano Pontil OT 65 32 0 23 Jun 2020
Aligning Time Series on Incomparable Spaces Samuel N. Cohen Giulia Luise Alexander Terenin Brandon Amos M. Deisenroth OT AI4TS 77 17 0 22 Jun 2020
When OT meets MoM: Robust estimation of Wasserstein Distance Guillaume Staerman Pierre Laforgue Pavlo Mozharovskyi Florence dÁlché-Buc OOD 444 30 0 18 Jun 2020
COT-GAN: Generating Sequential Data via Causal Optimal Transport Tianlin Xu L. Wenliang Michael Munn Beatrice Acciaio GAN CML 89 98 0 15 Jun 2020
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence Lénaïc Chizat Pierre Roussillon Flavien Léger François-Xavier Vialard Gabriel Peyré OT 63 116 0 15 Jun 2020
Projection Robust Wasserstein Distance and Riemannian Optimization Tianyi Lin Chenyou Fan Nhat Ho Marco Cuturi Michael I. Jordan 90 69 0 12 Jun 2020
Linear Time Sinkhorn Divergences using Positive Features M. Scetbon Marco Cuturi 109 26 0 12 Jun 2020
End-to-end Sinkhorn Autoencoder with Noise Generator Kamil Deja Jan Dubiñski Piotr W. Nowak S. Wenzel Tomasz Trzciñski SyDa 60 23 0 11 Jun 2020
Optimal Transport Graph Neural Networks Benson Chen Gary Bécigneul O. Ganea Regina Barzilay Tommi Jaakkola OT 94 44 0 08 Jun 2020
Entropy-Regularized $2$ -Wasserstein Distance between Gaussian Measures Anton Mallasto Augusto Gerolin H. Q. Minh 89 53 0 05 Jun 2020
Debiased Sinkhorn barycenters H. Janati Marco Cuturi Alexandre Gramfort OT 66 57 0 03 Jun 2020
Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form H. Janati Boris Muzellec Gabriel Peyré Marco Cuturi OT 140 87 0 03 Jun 2020
Double Generative Adversarial Networks for Conditional Independence Testing C. Shi Tianlin Xu Wicher P. Bergsma Lexin Li 135 28 0 03 Jun 2020
The energy distance for ensemble and scenario reduction F. Ziel 41 10 0 29 May 2020
Tessellated Wasserstein Auto-Encoders Kuo Gai Shihua Zhang DRL 45 1 0 20 May 2020
Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints Zhenyi Wang Xiaoyang Wang Bang An Dong Yu Changyou Chen LMTD 234 85 0 03 May 2020
Synchronizing Probability Measures on Rotations via Optimal Transport Tolga Birdal Michael Arbel Umut Simsekli Leonidas Guibas OT 82 30 0 01 Apr 2020
Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space Khoa D. Doan Saurav Manchanda Fengjiao Wang S. Keerthi Avradeep Bhowmik Chandan K. Reddy 31 6 0 26 Mar 2020
Wasserstein-based Graph Alignment Hermina Petric Maretic Mireille El Gheche Matthias Minder Giovanni Chierchia P. Frossard OT 55 23 0 12 Mar 2020
Statistical and Topological Properties of Sliced Probability Divergences Kimia Nadjahi Alain Durmus Lénaïc Chizat Soheil Kolouri Shahin Shahrampour Umut Simsekli 74 87 0 12 Mar 2020
Online Sinkhorn: Optimal Transport distances from sample streams A. Mensch Gabriel Peyré OT 39 1 0 03 Mar 2020
Joint Wasserstein Distribution Matching Jingyun Liang Langyuan Mo Qing Du Yong Guo P. Zhao Junzhou Huang Mingkui Tan 28 0 0 01 Mar 2020
Alternating the Population and Control Neural Networks to Solve High-Dimensional Stochastic Mean-Field Games A. Lin Samy Wu Fung Wuchen Li L. Nurbekyan Stanley J. Osher 102 74 0 24 Feb 2020
Stochastic Optimization for Regularized Wasserstein Estimators Marin Ballu Quentin Berthet Francis R. Bach 49 17 0 20 Feb 2020
Schoenberg-Rao distances: Entropy-based and geometry-aware statistical Hilbert distances Gaëtan Hadjeres Frank Nielsen 16 0 0 19 Feb 2020
Regularized Optimal Transport is Ground Cost Adversarial Franccois-Pierre Paty Marco Cuturi OT AAML OOD 100 29 0 10 Feb 2020
Missing Data Imputation using Optimal Transport Boris Muzellec Julie Josse Claire Boyer Marco Cuturi OT 78 127 0 10 Feb 2020
Super-efficiency of automatic differentiation for functions defined as a minimum Pierre Ablin Gabriel Peyré Thomas Moreau 89 42 0 10 Feb 2020
Statistical Optimal Transport posed as Learning Kernel Embedding SakethaNath Jagarlapudi Pratik Jawanpuria OT 42 16 0 08 Feb 2020
Geometric Dataset Distances via Optimal Transport David Alvarez-Melis Nicolò Fusi OT 154 205 0 07 Feb 2020
Learning Implicit Generative Models with Theoretical Guarantees Yuan Gao Jian Huang Yuling Jiao Jin Liu 66 7 0 07 Feb 2020
Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces Ryoma Sato Marco Cuturi M. Yamada H. Kashima 110 23 0 05 Feb 2020
Stochastic Approximation versus Sample Average Approximation for population Wasserstein barycenters D. Dvinskikh 80 11 0 21 Jan 2020
Nested-Wasserstein Self-Imitation Learning for Sequence Generation Ruiyi Zhang Changyou Chen Zhe Gan Zheng Wen Wenlin Wang Lawrence Carin 76 7 0 20 Jan 2020
Schrödinger Bridge Samplers Espen Bernton J. Heng Arnaud Doucet Pierre E. Jacob 70 25 0 31 Dec 2019
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing V. Monga Yuelong Li Yonina C. Eldar 130 1,029 0 22 Dec 2019
Informative GANs via Structured Regularization of Optimal Transport Pierre Bréchet Tao Wu Thomas Möllenhoff Zorah Lähner OT 15 0 0 04 Dec 2019
Ground Metric Learning on Graphs Matthieu Heitz Nicolas Bonneel D. Coeurjolly Marco Cuturi Gabriel Peyré OT 68 21 0 08 Nov 2019
Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces David Alvarez-Melis Youssef Mroueh Tommi Jaakkola OT 86 24 0 06 Nov 2019
Alleviating Label Switching with Optimal Transport Pierre Monteiller Sebastian Claici Edward Chien F. Mirzazadeh Justin Solomon Mikhail Yurochkin 41 6 0 05 Nov 2019
Multi-marginal Wasserstein GAN Jingyun Liang Langyuan Mo Yifan Zhang Kui Jia Chunhua Shen Mingkui Tan 77 79 0 03 Nov 2019
Sinkhorn Divergences for Unbalanced Optimal Transport Thibault Séjourné Jean Feydy Franccois-Xavier Vialard A. Trouvé Gabriel Peyré OT 97 74 0 28 Oct 2019