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
Sampling with Mollified Interaction Energy Descent Lingxiao Li Qiang Liu Anna Korba Mikhail Yurochkin Justin Solomon 77 17 0 24 Oct 2022
Geometric Sparse Coding in Wasserstein Space M. Mueller Shuchin Aeron James M. Murphy Abiy Tasissa 48 4 0 21 Oct 2022
Partial Identification of Treatment Effects with Implicit Generative Models Vahid Balazadeh Meresht Vasilis Syrgkanis Rahul G. Krishnan CML 74 19 0 14 Oct 2022
On the potential benefits of entropic regularization for smoothing Wasserstein estimators Jérémie Bigot Paul Freulon B. Hejblum Arthur Leclaire OT 64 2 0 13 Oct 2022
Finding NEEMo: Geometric Fitting using Neural Estimation of the Energy Mover's Distance O. Kitouni Niklas Nolte Mike Williams 38 8 0 30 Sep 2022
Sparsity-Constrained Optimal Transport Tianlin Liu J. Puigcerver Mathieu Blondel OT 91 22 0 30 Sep 2022
Heterogeneous Recurrent Spiking Neural Network for Spatio-Temporal Classification Biswadeep Chakraborty Saibal Mukhopadhyay 85 21 0 22 Sep 2022
Learning Deep Optimal Embeddings with Sinkhorn Divergences S. Roy Yan Han Mehrtash Harandi L. Petersson 70 0 0 14 Sep 2022
StreamNet: A WAE for White Matter Streamline Analysis Andrew Lizarraga K. Narr Kristy A. Donald S. H. Joshi 123 5 0 03 Sep 2022
Discovering Conservation Laws using Optimal Transport and Manifold Learning Peter Y. Lu Rumen Dangovski M. Soljavcić 82 18 0 31 Aug 2022
Information-Theoretic Equivalence of Entropic Multi-Marginal Optimal Transport: A Theory for Multi-Agent Communication Shuchan Wang OT 66 0 0 22 Aug 2022
Multiview Regenerative Morphing with Dual Flows Chih-Jung Tsai Cheng Sun Hwann-Tzong Chen 3DH 53 1 0 02 Aug 2022
Limit Theorems for Entropic Optimal Transport Maps and the Sinkhorn Divergence Ziv Goldfeld Kengo Kato Gabriel Rioux Ritwik Sadhu 73 29 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 50 23 0 15 Jul 2022
Diffeomorphic Registration using Sinkhorn Divergences Lucas de Lara Alberto González Sanz Jean-Michel Loubes FedML 73 9 0 28 Jun 2022
On making optimal transport robust to all outliers Kilian Fatras OT 60 0 0 23 Jun 2022
Spherical Sliced-Wasserstein Clément Bonet P. Berg Nicolas Courty Françcois Septier Lucas Drumetz Minh Pham 95 27 0 17 Jun 2022
Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions Shuxuan Guo Yinlin Hu J. Álvarez Mathieu Salzmann 66 14 0 30 May 2022
Non-rigid Point Cloud Registration with Neural Deformation Pyramid Yang Li Tatsuya Harada 3DPC 87 35 0 25 May 2022
Low-rank Optimal Transport: Approximation, Statistics and Debiasing M. Scetbon Marco Cuturi OT 86 16 0 24 May 2022
Riemannian Metric Learning via Optimal Transport Christopher Scarvelis Justin Solomon OT 84 13 0 18 May 2022
Trajectory Inference via Mean-field Langevin in Path Space Lénaïc Chizat Stephen X. Zhang Matthieu Heitz Geoffrey Schiebinger 81 26 0 14 May 2022
A Unified Framework for Implicit Sinkhorn Differentiation Marvin Eisenberger Aysim Toker Laura Leal-Taixé Florian Bernard Daniel Cremers AI4CE 93 24 0 13 May 2022
Learning Disentangled Textual Representations via Statistical Measures of Similarity Pierre Colombo Guillaume Staerman Nathan Noiry Pablo Piantanida FaML DRL 197 22 0 07 May 2022
Domain Adaptation meets Individual Fairness. And they get along Debarghya Mukherjee Felix Petersen Mikhail Yurochkin Yuekai Sun FaML 75 16 0 01 May 2022
OTExtSum: Extractive Text Summarisation with Optimal Transport Peggy Tang Kun Hu Rui Yan Lei Zhang Junbin Gao Zhiyong Wang OT 59 11 0 21 Apr 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 71 36 0 19 Apr 2022
Hierarchical Optimal Transport for Comparing Histopathology Datasets A. Yeaton Rahul G. Krishnan Rebecca J. Mieloszyk David Alvarez-Melis G. Huynh OT 62 9 0 18 Apr 2022
Partially Does It: Towards Scene-Level FG-SBIR with Partial Input Pinaki Nath Chowdhury A. Bhunia Viswanatha Reddy Gajjala Aneeshan Sain Tao Xiang Yi-Zhe Song 127 21 0 28 Mar 2022
Wasserstein Distributionally Robust Optimization with Wasserstein Barycenters Tim Tsz-Kit Lau Han Liu OOD 91 2 0 23 Mar 2022
Averaging Spatio-temporal Signals using Optimal Transport and Soft Alignments H. Janati Marco Cuturi Alexandre Gramfort OT 49 2 0 11 Mar 2022
Debiaser Beware: Pitfalls of Centering Regularized Transport Maps Aram-Alexandre Pooladian Marco Cuturi Jonathan Niles-Weed OT 66 16 0 17 Feb 2022
Learning Sinkhorn divergences for supervised change point detection Nauman Ahad Eva L. Dyer Keith B. Hengen Yao Xie Mark A. Davenport 54 3 0 08 Feb 2022
Optimal Transport of Classifiers to Fairness Maarten Buyl T. D. Bie FaML 51 11 0 08 Feb 2022
Distributional Reinforcement Learning by Sinkhorn Divergence Ke Sun Yingnan Zhao Wulong Liu Bei Jiang Linglong Kong 76 0 0 01 Feb 2022
Wassersplines for Neural Vector Field--Controlled Animation Paul Zhang Dmitriy Smirnov Justin Solomon 68 4 0 28 Jan 2022
An Homogeneous Unbalanced Regularized Optimal Transport model with applications to Optimal Transport with Boundary Théo Lacombe OT 30 3 0 06 Jan 2022
BITES: Balanced Individual Treatment Effect for Survival data Stefan Schrod Andreas Schäfer S. Solbrig R. Lohmayer W. Gronwald P. Oefner T. Beissbarth Rainer Spang H. Zacharias Michael Altenbuchinger CML 58 23 0 05 Jan 2022
Entropy Regularized Optimal Transport Independence Criterion Lang Liu Soumik Pal Zaïd Harchaoui OT 77 14 0 31 Dec 2021
BANMo: Building Animatable 3D Neural Models from Many Casual Videos Gengshan Yang Minh Vo Natalia Neverova Deva Ramanan Andrea Vedaldi Hanbyul Joo 3DH 187 189 0 23 Dec 2021
FlowPool: Pooling Graph Representations with Wasserstein Gradient Flows E. Simou 23 0 0 18 Dec 2021
Improving Neural Cross-Lingual Summarization via Employing Optimal Transport Distance for Knowledge Distillation Thong Nguyen Anh Tuan Luu 128 40 0 07 Dec 2021
Efficient estimates of optimal transport via low-dimensional embeddings Patric Fulop V. Danos OT 20 0 0 08 Nov 2021
Manipulation of Granular Materials by Learning Particle Interactions Neea Tuomainen David Blanco Mulero Ville Kyrki 102 20 0 03 Nov 2021
Understanding Entropic Regularization in GANs Daria Reshetova Yikun Bai Xiugang Wu Ayfer Özgür 69 7 0 02 Nov 2021
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence Tianshi Cao Alex Bie Arash Vahdat Sanja Fidler Karsten Kreis SyDa DiffM 85 72 0 01 Nov 2021
Accurate Point Cloud Registration with Robust Optimal Transport Zhengyang Shen Jean Feydy Peirong Liu A. Curiale R. S. J. Estépar Raúl San José Estépar Marc Niethammer 3DPC OOD OT 39 53 0 01 Nov 2021
Multivariate rank via entropic optimal transport: sample efficiency and generative modeling Shoaib Bin Masud Matthew Werenski James M. Murphy Shuchin Aeron OT 50 9 0 29 Oct 2021
Alignment Attention by Matching Key and Query Distributions Shujian Zhang Xinjie Fan Huangjie Zheng Korawat Tanwisuth Mingyuan Zhou OOD 122 10 0 25 Oct 2021
Hamiltonian Monte Carlo with Asymmetrical Momentum Distributions Soumyadip Ghosh Ying-Ling Lu Aditya Gopalan 54 3 0 21 Oct 2021