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
Order Constraints in Optimal Transport Fabian Lim L. Wynter Shiau Hong Lim OT 86 4 0 14 Oct 2021
Adversarial examples by perturbing high-level features in intermediate decoder layers Vojtěch Čermák Lukáš Adam AAML GAN 37 0 0 14 Oct 2021
Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one Maps Nico Courts Henry Kvinge 38 4 0 13 Oct 2021
Challenges for Unsupervised Anomaly Detection in Particle Physics Katherine Fraser S. Homiller Rashmish K. Mishra B. Ostdiek M. Schwartz DRL 71 44 0 13 Oct 2021
Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings Sawsan Alqahtani Garima Lalwani Yi Zhang Salvatore Romeo Saab Mansour OT 70 25 0 06 Oct 2021
KNOT: Knowledge Distillation using Optimal Transport for Solving NLP Tasks Rishabh Bhardwaj Tushar Vaidya Soujanya Poria OT FedML 131 7 0 06 Oct 2021
Top-N: Equivariant set and graph generation without exchangeability Clément Vignac P. Frossard BDL 148 35 0 05 Oct 2021
Factored couplings in multi-marginal optimal transport via difference of convex programming Q. Tran H. Janati I. Redko Rémi Flamary Nicolas Courty OT 110 1 0 01 Oct 2021
Reversible Gromov-Monge Sampler for Simulation-Based Inference Y. Hur Wenxuan Guo Tengyuan Liang 91 9 0 28 Sep 2021
Unsupervised Diffeomorphic Surface Registration and Non-Linear Modelling Balder Croquet Daan Christiaens S. Weinberg M. Bronstein Dirk Vandermeulen P. Claes MedIm 81 8 0 28 Sep 2021
Entropic estimation of optimal transport maps Aram-Alexandre Pooladian Jonathan Niles-Weed OT 122 108 0 24 Sep 2021
Optimal transport weights for causal inference Eric A. Dunipace CML OT 68 9 0 05 Sep 2021
Barycentric-alignment and reconstruction loss minimization for domain generalization Boyang Lyu Thuan Q. Nguyen Prakash Ishwar matthias. scheutz Shuchin Aeron OOD 140 4 0 04 Sep 2021
Pix2Point: Learning Outdoor 3D Using Sparse Point Clouds and Optimal Transport Rémy Leroy Pauline Trouvé-Peloux F. Champagnat Bertrand Le Saux Marcela Carvalho 3DPC 76 3 0 30 Jul 2021
Limit Distribution Theory for the Smooth 1-Wasserstein Distance with Applications Ritwik Sadhu Ziv Goldfeld Kengo Kato 77 9 0 28 Jul 2021
Fast and Scalable Optimal Transport for Brain Tractograms Jean Feydy Pierre Roussillon A. Trouvé Pietro Gori OT 64 27 0 05 Jul 2021
Direct Measure Matching for Crowd Counting Hui Lin Xiaopeng Hong Zhiheng Ma Xing Wei Yunfeng Qiu Yaowei Wang Yihong Gong OT 75 45 0 04 Jul 2021
Discrepancy-based Inference for Intractable Generative Models using Quasi-Monte Carlo Ziang Niu J. Meier F. Briol 106 13 0 22 Jun 2021
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support Pierre Glaser Michael Arbel Arthur Gretton 131 40 0 16 Jun 2021
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior Sang-gil Lee Heeseung Kim Chaehun Shin Xu Tan Chang-Shu Liu Qi Meng Tao Qin Wei Chen Sung-Hoon Yoon Tie-Yan Liu DiffM 83 89 0 11 Jun 2021
Proximal Optimal Transport Modeling of Population Dynamics Charlotte Bunne Laetitia Meng-Papaxanthos Andreas Krause Marco Cuturi OT 97 93 0 11 Jun 2021
A Neural Tangent Kernel Perspective of GANs Jean-Yves Franceschi Emmanuel de Bézenac Ibrahim Ayed Mickaël Chen Sylvain Lamprier Patrick Gallinari 129 27 0 10 Jun 2021
Solving Schrödinger Bridges via Maximum Likelihood Francisco Vargas Pierre Thodoroff Neil D. Lawrence A. Lamacraft OT 113 147 0 03 Jun 2021
Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks David Alvarez-Melis Yair Schiff Youssef Mroueh 105 57 0 01 Jun 2021
Optimal transport with $f$ -divergence regularization and generalized Sinkhorn algorithm Dávid Terjék Diego González-Sánchez OT 51 8 0 29 May 2021
A likelihood approach to nonparametric estimation of a singular distribution using deep generative models Minwoo Chae Dongha Kim Yongdai Kim Lizhen Lin 97 17 0 09 May 2021
Finite sample approximations of exact and entropic Wasserstein distances between covariance operators and Gaussian processes H. Q. Minh 46 2 0 26 Apr 2021
SPOT: A framework for selection of prototypes using optimal transport Karthik S. Gurumoorthy Pratik Jawanpuria Bamdev Mishra OT 71 12 0 18 Mar 2021
Soft and subspace robust multivariate rank tests based on entropy regularized optimal transport Shoaib Bin Masud Boyang Lyu Shuchin Aeron OT 31 1 0 16 Mar 2021
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation Kilian Fatras Thibault Séjourné Nicolas Courty Rémi Flamary OT 88 151 0 05 Mar 2021
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance) Jan Stanczuk Christian Etmann L. Kreusser Carola-Bibiane Schönlieb GAN 106 48 0 02 Mar 2021
Convergence of Gaussian-smoothed optimal transport distance with sub-gamma distributions and dependent samples Yixing Zhang Xiuyuan Cheng Galen Reeves OT 61 10 0 28 Feb 2021
Mitigating Domain Mismatch in Face Recognition Using Style Matching Chun-Hsien Lin Bing-Fei Wu CVBM 56 3 0 26 Feb 2021
Learning to Generate Wasserstein Barycenters Julien Lacombe Julie Digne Nicolas Courty Nicolas Bonneel 61 12 0 24 Feb 2021
ResNet-LDDMM: Advancing the LDDMM Framework using Deep Residual Networks Boulbaba Ben Amor Sylvain Arguillere Ling Shao 59 30 0 16 Feb 2021
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport Adrien Corenflos James Thornton George Deligiannidis Arnaud Doucet OT 100 70 0 15 Feb 2021
HNPE: Leveraging Global Parameters for Neural Posterior Estimation Pedro L. C. Rodrigues Thomas Moreau Gilles Louppe Alexandre Gramfort 175 13 0 12 Feb 2021
Unsupervised Ground Metric Learning using Wasserstein Singular Vectors Geert-Jan Huizing Laura Cantini Gabriel Peyré SSL OT 39 6 0 11 Feb 2021
On Transportation of Mini-batches: A Hierarchical Approach Khai Nguyen Dang Nguyen Quoc Nguyen Tung Pham Hung Bui Dinh Q. Phung Trung Le Nhat Ho OT 100 18 0 11 Feb 2021
On the Existence of Optimal Transport Gradient for Learning Generative Models Antoine Houdard Arthur Leclaire Nicolas Papadakis Julien Rabin OT GAN 64 6 0 10 Feb 2021
Meta-PU: An Arbitrary-Scale Upsampling Network for Point Cloud Shuquan Ye Dongdong Chen Songfang Han Bo Liu Jing Liao 3DPC 73 82 0 08 Feb 2021
Estimating 2-Sinkhorn Divergence between Gaussian Processes from Finite-Dimensional Marginals Anton Mallasto OT 44 1 0 05 Feb 2021
Optimal Transport as a Defense Against Adversarial Attacks Quentin Bouniot Romaric Audigier Angélique Loesch AAML OOD 32 9 0 05 Feb 2021
Regularized Policies are Reward Robust Hisham Husain K. Ciosek Ryota Tomioka 55 25 0 18 Jan 2021
Smooth $p$ -Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications Sloan Nietert Ziv Goldfeld Kengo Kato 105 33 0 11 Jan 2021
Minibatch optimal transport distances; analysis and applications Kilian Fatras Younes Zine Szymon Majewski Rémi Flamary Rémi Gribonval Nicolas Courty OT 116 60 0 05 Jan 2021
Convergence and finite sample approximations of entropic regularized Wasserstein distances in Gaussian and RKHS settings M. H. Quang 111 5 0 05 Jan 2021
Model Compression Using Optimal Transport Suhas Lohit Michael J. Jones 81 8 0 07 Dec 2020
DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes Albert Matveev Ruslan Rakhimov Alexey Artemov G. Bobrovskikh Vage Egiazarian Emil Bogomolov Daniele Panozzo Denis Zorin Evgeny Burnaev 3DPC 60 20 0 30 Nov 2020
Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty Yilun Lin Chaochao Chen Cen Chen Li Wang FedML 83 8 0 23 Nov 2020