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 / 88 papers shown

Title
Flow Matching Ergodic Coverage Max Muchen Sun Allison Pinosky Todd Murphey 42 0 0 24 Apr 2025
Exploiting Epistemic Uncertainty in Cold-Start Recommendation Systems Yang Xiang Li Fan Chenke Yin Menglin Kong Chengtao Ji OffRL 44 0 0 22 Feb 2025
Expert-elicitation method for non-parametric joint priors using normalizing flows F. Bockting Stefan T. Radev Paul-Christian Bürkner BDL 95 1 0 24 Nov 2024
Test-time Adversarial Defense with Opposite Adversarial Path and High Attack Time Cost Cheng-Han Yeh Kuanchun Yu Chun-Shien Lu DiffM AAML 35 0 0 22 Oct 2024
HistoKernel: Whole Slide Image Level Maximum Mean Discrepancy Kernels for Pan-Cancer Predictive Modelling Piotr Keller Muhammad Dawood B. Chohan F. Minhas VLM 21 1 0 09 Aug 2024
Decomposing heterogeneous dynamical systems with graph neural networks Cédric Allier Magdalena C. Schneider Michael Innerberger Larissa Heinrich J. Bogovic S. Saalfeld CML AI4CE 38 0 0 27 Jul 2024
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking Neural Networks for Energy-Efficient Edge Computing Biswadeep Chakraborty Saibal Mukhopadhyay 38 2 0 08 Jul 2024
Efficient and Accurate Explanation Estimation with Distribution Compression Hubert Baniecki Giuseppe Casalicchio Bernd Bischl Przemyslaw Biecek FAtt 46 3 0 26 Jun 2024
Submodular Framework for Structured-Sparse Optimal Transport Piyushi Manupriya Pratik Jawanpuria Karthik S. Gurumoorthy SakethaNath Jagarlapudi Bamdev Mishra OT 97 0 0 07 Jun 2024
Consistency of Neural Causal Partial Identification Jiyuan Tan Jose Blanchet Vasilis Syrgkanis CML 32 0 0 24 May 2024
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN Biswadeep Chakraborty Beomseok Kang H. Kumar Saibal Mukhopadhyay 38 8 0 06 Mar 2024
Distilling Privileged Multimodal Information for Expression Recognition using Optimal Transport Haseeb Aslam Muhammad Osama Zeeshan Soufiane Belharbi M. Pedersoli A. L. Koerich Simon L Bacon Eric Granger 22 9 0 27 Jan 2024
Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction Moritz Piening Fabian Altekrüger J. Hertrich Paul Hagemann Andrea Walther Gabriele Steidl 24 6 0 27 Dec 2023
PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation S. Chatterjee Franziska Gaidzik Alessandro Sciarra Hendrik Mattern G. Janiga Oliver Speck Andreas Nürnberger S. Pathiraja 49 0 0 25 Dec 2023
Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Kolmogorov n-width Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel M. Khamlich F. Pichi G. Rozza 34 4 0 26 Aug 2023
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources Feiyang Kang H. Just Anit Kumar Sahu R. Jia 59 10 0 05 Jul 2023
On a Relation Between the Rate-Distortion Function and Optimal Transport E. Lei Hamed Hassani Shirin Saeedi Bidokhti OT 8 2 0 01 Jul 2023
Toward Mesh-Invariant 3D Generative Deep Learning with Geometric Measures T. Besnier Sylvain Arguillere E. Pierson Mohamed Daoudi 3DH 21 8 0 27 Jun 2023
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs Jacob Lindbäck Zesen Wang Mikael Johansson OT 40 1 0 29 May 2023
Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction Tung Le Khai Nguyen Shanlin Sun Kun Han Nhat Ho Xiaohui Xie 32 5 0 27 May 2023
Rectifying Group Irregularities in Explanations for Distribution Shift Adam Stein Yinjun Wu Eric Wong Mayur Naik 31 1 0 25 May 2023
Feature-aligned N-BEATS with Sinkhorn divergence Joon-Young Lee Myeongho Jeon Myung-joo Kang Kyung-soon Park AI4TS 24 0 0 24 May 2023
Weak Limits for Empirical Entropic Optimal Transport: Beyond Smooth Costs Alberto González Sanz Shayan Hundrieser OT 34 9 0 16 May 2023
Energy-Based Sliced Wasserstein Distance Khai Nguyen Nhat Ho 25 21 0 26 Apr 2023
Achieving Counterfactual Fairness with Imperfect Structural Causal Model Tri Dung Duong Qian Li Guandong Xu 22 2 0 26 Mar 2023
Doubly Regularized Entropic Wasserstein Barycenters Lénaïc Chizat 18 11 0 21 Mar 2023
Transformed Distribution Matching for Missing Value Imputation He Zhao Ke Sun Amir Dezfouli Edwin V. Bonilla 34 19 0 20 Feb 2023
The Monge Gap: A Regularizer to Learn All Transport Maps Théo Uscidda Marco Cuturi OT 55 26 0 09 Feb 2023
Self-Consistent Velocity Matching of Probability Flows Lingxiao Li Samuel Hurault Justin Solomon 29 12 0 31 Jan 2023
Estimating Regression Predictive Distributions with Sample Networks Ali Harakeh Jordan S. K. Hu Naiqing Guan Steven L. Waslander Liam Paull BDL UQCV 22 4 0 24 Nov 2022
Representational dissimilarity metric spaces for stochastic neural networks Lyndon Duong Jingyang Zhou Josue Nassar Jules Berman Jeroen Olieslagers Alex H. Williams 24 19 0 21 Nov 2022
Unbalanced Optimal Transport, from Theory to Numerics Thibault Séjourné Gabriel Peyré Franccois-Xavier Vialard OT 25 47 0 16 Nov 2022
Budget-Constrained Bounds for Mini-Batch Estimation of Optimal Transport David Alvarez-Melis Nicolò Fusi Lester W. Mackey Tal Wagner OT 30 1 0 24 Oct 2022
Geometric Sparse Coding in Wasserstein Space M. Mueller Shuchin Aeron James M. Murphy Abiy Tasissa 14 4 0 21 Oct 2022
Finding NEEMo: Geometric Fitting using Neural Estimation of the Energy Mover's Distance O. Kitouni Niklas Nolte Mike Williams 13 8 0 30 Sep 2022
Heterogeneous Recurrent Spiking Neural Network for Spatio-Temporal Classification Biswadeep Chakraborty Saibal Mukhopadhyay 26 20 0 22 Sep 2022
Learning Deep Optimal Embeddings with Sinkhorn Divergences S. Roy Yan Han Mehrtash Harandi L. Petersson 20 0 0 14 Sep 2022
StreamNet: A WAE for White Matter Streamline Analysis Andrew Lizarraga K. Narr Kristy A. Donald S. H. Joshi 25 4 0 03 Sep 2022
Discovering Conservation Laws using Optimal Transport and Manifold Learning Peter Y. Lu Rumen Dangovski M. Soljavcić 27 17 0 31 Aug 2022
Information-Theoretic Equivalence of Entropic Multi-Marginal Optimal Transport: A Theory for Multi-Agent Communication Shuchan Wang OT 25 0 0 22 Aug 2022
Limit Theorems for Entropic Optimal Transport Maps and the Sinkhorn Divergence Ziv Goldfeld Kengo Kato Gabriel Rioux Ritwik Sadhu 42 27 0 18 Jul 2022
Weak limits of entropy regularized Optimal Transport; potentials, plans and divergences Alberto González Sanz Jean-Michel Loubes Jonathan Niles-Weed OT 19 22 0 15 Jul 2022
Diffeomorphic Registration using Sinkhorn Divergences Lucas de Lara Alberto González Sanz Jean-Michel Loubes FedML 22 8 0 28 Jun 2022
On making optimal transport robust to all outliers Kilian Fatras OT 19 0 0 23 Jun 2022
Spherical Sliced-Wasserstein Clément Bonet P. Berg Nicolas Courty Françcois Septier Lucas Drumetz Minh Pham 27 27 0 17 Jun 2022
Riemannian Metric Learning via Optimal Transport Christopher Scarvelis Justin Solomon OT 42 11 0 18 May 2022
Trajectory Inference via Mean-field Langevin in Path Space Lénaïc Chizat Stephen X. Zhang Matthieu Heitz Geoffrey Schiebinger 31 20 0 14 May 2022
Learning Disentangled Textual Representations via Statistical Measures of Similarity Pierre Colombo Guillaume Staerman Nathan Noiry Pablo Piantanida FaML DRL 38 22 0 07 May 2022
An improved central limit theorem and fast convergence rates for entropic transportation costs E. del Barrio Alberto González Sanz Jean-Michel Loubes Jonathan Niles-Weed OT 34 32 0 19 Apr 2022
Optimal Transport of Classifiers to Fairness Maarten Buyl T. D. Bie FaML 13 10 0 08 Feb 2022