Learning Generative Models with Sinkhorn Divergences

1 June 2017

Papers citing "Learning Generative Models with Sinkhorn Divergences"

50 / 375 papers shown

Title
Space-Time Correspondence as a Contrastive Random Walk Allan Jabri Andrew Owens Alexei A. Efros SSL OT 13 292 0 25 Jun 2020
Multi-source Domain Adaptation via Weighted Joint Distributions Optimal Transport Rosanna Turrisi Rémi Flamary A. Rakotomamonjy Massimiliano Pontil OT 11 31 0 23 Jun 2020
Aligning Time Series on Incomparable Spaces Samuel N. Cohen Giulia Luise Alexander Terenin Brandon Amos M. Deisenroth OT AI4TS 14 16 0 22 Jun 2020
When OT meets MoM: Robust estimation of Wasserstein Distance Guillaume Staerman Pierre Laforgue Pavlo Mozharovskyi Florence dÁlché-Buc OOD 11 30 0 18 Jun 2020
COT-GAN: Generating Sequential Data via Causal Optimal Transport Tianlin Xu L. Wenliang Michael Munn Beatrice Acciaio GAN CML 15 92 0 15 Jun 2020
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence Lénaïc Chizat Pierre Roussillon Flavien Léger François-Xavier Vialard Gabriel Peyré OT 19 110 0 15 Jun 2020
Projection Robust Wasserstein Distance and Riemannian Optimization Tianyi Lin Chenyou Fan Nhat Ho Marco Cuturi Michael I. Jordan 20 68 0 12 Jun 2020
Linear Time Sinkhorn Divergences using Positive Features M. Scetbon Marco Cuturi 42 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 30 22 0 11 Jun 2020
Optimal Transport Graph Neural Networks Benson Chen Gary Bécigneul O. Ganea Regina Barzilay Tommi Jaakkola OT 39 44 0 08 Jun 2020
Entropy-Regularized $2$ -Wasserstein Distance between Gaussian Measures Anton Mallasto Augusto Gerolin H. Q. Minh 32 51 0 05 Jun 2020
Debiased Sinkhorn barycenters H. Janati Marco Cuturi Alexandre Gramfort OT 17 54 0 03 Jun 2020
Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form H. Janati Boris Muzellec Gabriel Peyré Marco Cuturi OT 38 86 0 03 Jun 2020
Double Generative Adversarial Networks for Conditional Independence Testing C. Shi Tianlin Xu Wicher P. Bergsma Lexin Li 31 26 0 03 Jun 2020
The energy distance for ensemble and scenario reduction F. Ziel 14 10 0 29 May 2020
Tessellated Wasserstein Auto-Encoders Kuo Gai Shihua Zhang DRL 6 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 168 84 0 03 May 2020
Synchronizing Probability Measures on Rotations via Optimal Transport Tolga Birdal Michael Arbel Umut Simsekli Leonidas J. Guibas OT 11 29 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 15 6 0 26 Mar 2020
Wasserstein-based Graph Alignment Hermina Petric Maretic Mireille El Gheche Matthias Minder Giovanni Chierchia P. Frossard OT 12 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 26 81 0 12 Mar 2020
Online Sinkhorn: Optimal Transport distances from sample streams A. Mensch Gabriel Peyré OT 22 1 0 03 Mar 2020
Joint Wasserstein Distribution Matching Jingyun Liang Langyuan Mo Qing Du Yong Guo P. Zhao Junzhou Huang Mingkui Tan 9 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 18 71 0 24 Feb 2020
Stochastic Optimization for Regularized Wasserstein Estimators Marin Ballu Quentin Berthet Francis R. Bach 6 15 0 20 Feb 2020
Schoenberg-Rao distances: Entropy-based and geometry-aware statistical Hilbert distances Gaëtan Hadjeres Frank Nielsen 9 0 0 19 Feb 2020
Regularized Optimal Transport is Ground Cost Adversarial Franccois-Pierre Paty Marco Cuturi OT AAML OOD 41 29 0 10 Feb 2020
Missing Data Imputation using Optimal Transport Boris Muzellec Julie Josse Claire Boyer Marco Cuturi OT 26 116 0 10 Feb 2020
Super-efficiency of automatic differentiation for functions defined as a minimum Pierre Ablin Gabriel Peyré Thomas Moreau 12 42 0 10 Feb 2020
Statistical Optimal Transport posed as Learning Kernel Embedding SakethaNath Jagarlapudi Pratik Jawanpuria OT 7 16 0 08 Feb 2020
Geometric Dataset Distances via Optimal Transport David Alvarez-Melis Nicolò Fusi OT 80 194 0 07 Feb 2020
Learning Implicit Generative Models with Theoretical Guarantees Yuan Gao Jian Huang Yuling Jiao Jin Liu 25 7 0 07 Feb 2020
Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces Ryoma Sato Marco Cuturi M. Yamada H. Kashima 62 23 0 05 Feb 2020
Stochastic Approximation versus Sample Average Approximation for population Wasserstein barycenters D. Dvinskikh 27 10 0 21 Jan 2020
Nested-Wasserstein Self-Imitation Learning for Sequence Generation Ruiyi Zhang Changyou Chen Zhe Gan Zheng Wen Wenlin Wang Lawrence Carin 31 5 0 20 Jan 2020
Schrödinger Bridge Samplers Espen Bernton J. Heng Arnaud Doucet Pierre E. Jacob 28 23 0 31 Dec 2019
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing V. Monga Yuelong Li Yonina C. Eldar 46 1,000 0 22 Dec 2019
Informative GANs via Structured Regularization of Optimal Transport Pierre Bréchet Tao Wu Thomas Möllenhoff Daniel Cremers OT 6 0 0 04 Dec 2019
Ground Metric Learning on Graphs Matthieu Heitz Nicolas Bonneel D. Coeurjolly Marco Cuturi Gabriel Peyré OT 17 21 0 08 Nov 2019
Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces David Alvarez-Melis Youssef Mroueh Tommi Jaakkola OT 22 24 0 06 Nov 2019
Alleviating Label Switching with Optimal Transport Pierre Monteiller Sebastian Claici Edward Chien F. Mirzazadeh Justin Solomon Mikhail Yurochkin 11 6 0 05 Nov 2019
Multi-marginal Wasserstein GAN Jingyun Liang Langyuan Mo Yifan Zhang Kui Jia Chunhua Shen Mingkui Tan 16 77 0 03 Nov 2019
Sinkhorn Divergences for Unbalanced Optimal Transport Thibault Séjourné Jean Feydy Franccois-Xavier Vialard A. Trouvé Gabriel Peyré OT 30 72 0 28 Oct 2019
Zero-Shot Recognition via Optimal Transport Wenlin Wang Hongteng Xu Guoyin Wang Wenqi Wang Lawrence Carin OT 21 2 0 20 Oct 2019
Differentiable Deep Clustering with Cluster Size Constraints Aude Genevay Gabriel Dulac-Arnold Jean-Philippe Vert 14 40 0 20 Oct 2019
Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space Q. Mérigot Alex Delalande Frédéric Chazal OT 6 44 0 14 Oct 2019
Prescribed Generative Adversarial Networks Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei Michalis K. Titsias GAN DRL 27 61 0 09 Oct 2019
Learning with minibatch Wasserstein : asymptotic and gradient properties Kilian Fatras Younes Zine Rémi Flamary Rémi Gribonval Nicolas Courty OT 9 87 0 09 Oct 2019
How Well Do WGANs Estimate the Wasserstein Metric? Anton Mallasto Guido Montúfar Augusto Gerolin 30 25 0 09 Oct 2019
Spatio-Temporal Alignments: Optimal transport through space and time H. Janati Marco Cuturi Alexandre Gramfort OT AI4TS 30 29 0 09 Oct 2019