Interpolating between Optimal Transport and MMD using Sinkhorn Divergences

18 October 2018

Jean Feydy

Thibault Séjourné

François-Xavier Vialard

Papers citing "Interpolating between Optimal Transport and MMD using Sinkhorn Divergences"

50 / 310 papers shown

Title
Asymptotics of Discrete Schrödinger Bridges via Chaos Decomposition Zaïd Harchaoui Lang Liu Soumik Pal 38 3 0 17 Nov 2020
Cycle-Consistent Generative Rendering for 2D-3D Modality Translation Tristan Aumentado-Armstrong Alex Levinshtein Stavros Tsogkas Konstantinos G. Derpanis Allan D. Jepson 55 7 0 16 Nov 2020
Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities Uri Shaham Igal Zaidman Jonathan Svirsky OOD 49 8 0 15 Nov 2020
Entropic regularization of Wasserstein distance between infinite-dimensional Gaussian measures and Gaussian processes M. H. Quang 72 13 0 15 Nov 2020
A contribution to Optimal Transport on incomparable spaces Titouan Vayer OT 73 20 0 09 Nov 2020
Sinkhorn Natural Gradient for Generative Models Zebang Shen Zhenfu Wang Alejandro Ribeiro Hamed Hassani GAN DiffM 61 12 0 09 Nov 2020
Contrastive Graph Neural Network Explanation Lukas Faber A. K. Moghaddam Roger Wattenhofer 85 36 0 26 Oct 2020
Dataset Dynamics via Gradient Flows in Probability Space David Alvarez-Melis Nicolò Fusi 102 19 0 24 Oct 2020
Domain Divergences: a Survey and Empirical Analysis Abhinav Ramesh Kashyap Devamanyu Hazarika Min-Yen Kan Roger Zimmermann 266 40 0 23 Oct 2020
Differentiable Divergences Between Time Series Mathieu Blondel A. Mensch Jean-Philippe Vert AI4TS 136 39 0 16 Oct 2020
Permutation invariant networks to learn Wasserstein metrics Arijit Sehanobish N. Ravindra David van Dijk OOD 51 2 0 12 Oct 2020
Unbalanced Sobolev Descent Youssef Mroueh Mattia Rigotti 70 17 0 29 Sep 2020
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation Thibault Séjourné François-Xavier Vialard Gabriel Peyré OT 99 71 0 09 Sep 2020
Quantum versus Classical Generative Modelling in Finance Brian Coyle Maxwell P. Henderson Justin Chan Jin Le N. Kumar M. Paini E. Kashefi 51 59 0 03 Aug 2020
Generalization Properties of Optimal Transport GANs with Latent Distribution Learning Giulia Luise Massimiliano Pontil C. Ciliberto GAN OT 66 22 0 29 Jul 2020
Sinkhorn Barycenter via Functional Gradient Descent Zebang Shen Zhenfu Wang Alejandro Ribeiro Hamed Hassani 92 10 0 20 Jul 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
BRULÈ: Barycenter-Regularized Unsupervised Landmark Extraction Iaroslav Bespalov N. Buzun Dmitry V. Dylov CVBM 46 12 0 20 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
Equitable and Optimal Transport with Multiple Agents M. Scetbon Laurent Meunier Jamal Atif Marco Cuturi OT 39 2 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
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 136 87 0 03 Jun 2020
Spectral convergence of diffusion maps: improved error bounds and an alternative normalisation Caroline L. Wormell Sebastian Reich 73 39 0 03 Jun 2020
The energy distance for ensemble and scenario reduction F. Ziel 41 10 0 29 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
Flows for simultaneous manifold learning and density estimation Johann Brehmer Kyle Cranmer DRL AI4CE 114 163 0 31 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
Generalized Energy Based Models Michael Arbel Liang Zhou Arthur Gretton DRL 179 81 0 10 Mar 2020
Online Sinkhorn: Optimal Transport distances from sample streams A. Mensch Gabriel Peyré OT 33 1 0 03 Mar 2020
Stochastic Optimization for Regularized Wasserstein Estimators Marin Ballu Quentin Berthet Francis R. Bach 49 17 0 20 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
Gaussian-Smooth Optimal Transport: Metric Structure and Statistical Efficiency Ziv Goldfeld Kristjan Greenewald OT 74 41 0 24 Jan 2020
Forecasting future action sequences with attention: a new approach to weakly supervised action forecasting Yan Bin Ng Basura Fernando AI4TS 43 34 0 10 Dec 2019
Informative GANs via Structured Regularization of Optimal Transport Pierre Bréchet Tao Wu Thomas Möllenhoff Daniel Cremers OT 15 0 0 04 Dec 2019
FusionMapping: Learning Depth Prediction with Monocular Images and 2D Laser Scans Peng Yin Jianing Qian Yibo Cao David Held Howie Choset MDE 3DPC 40 3 0 29 Nov 2019
Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces David Alvarez-Melis Youssef Mroueh Tommi Jaakkola OT 84 24 0 06 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
Learning with minibatch Wasserstein : asymptotic and gradient properties Kilian Fatras Younes Zine Rémi Flamary Rémi Gribonval Nicolas Courty OT 99 96 0 09 Oct 2019
How Well Do WGANs Estimate the Wasserstein Metric? Anton Mallasto Guido Montúfar Augusto Gerolin 53 25 0 09 Oct 2019
Spatio-Temporal Alignments: Optimal transport through space and time H. Janati Marco Cuturi Alexandre Gramfort OT AI4TS 64 29 0 09 Oct 2019
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm Giulia Luise Saverio Salzo Massimiliano Pontil C. Ciliberto 85 69 0 30 May 2019
Wasserstein Style Transfer Youssef Mroueh OT 58 48 0 30 May 2019
Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem Gonzalo E. Mena Jonathan Niles-Weed OT 88 167 0 28 May 2019