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
Progressive Entropic Optimal Transport Solvers Parnian Kassraie Aram-Alexandre Pooladian Michal Klein James Thornton Jonathan Niles-Weed Marco Cuturi OT 92 6 0 07 Jun 2024
Submodular Framework for Structured-Sparse Optimal Transport Piyushi Manupriya Pratik Jawanpuria Karthik S. Gurumoorthy SakethaNath Jagarlapudi Bamdev Mishra OT 171 0 0 07 Jun 2024
Interaction-Force Transport Gradient Flows E. Gladin Pavel Dvurechensky Alexander Mielke Jia Jie Zhu OT 95 6 0 27 May 2024
Consistency of Neural Causal Partial Identification Jiyuan Tan Jose Blanchet Vasilis Syrgkanis CML 109 0 0 24 May 2024
Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis Daniel Csillag C. Struchiner G. Goedert OOD CML 74 2 0 15 May 2024
Continuous max-flow augmentation of self-supervised few-shot learning on SPECT left ventricles Ádám István Szücs Béla Kári Oszkár Pártos 42 1 0 09 May 2024
Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs Feiyang Kang H. Just Yifan Sun Himanshu Jahagirdar Yuanzhi Zhang Rongxing Du Anit Kumar Sahu Ruoxi Jia 102 22 0 05 May 2024
Structure-aware Fine-tuning for Code Pre-trained Models Jiayi Wu Renyu Zhu Nuo Chen Qiushi Sun Xiang Li Ming Gao 90 2 0 11 Apr 2024
Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching Jannis Chemseddine Paul Hagemann Gabriele Steidl Christian Wald 112 12 0 27 Mar 2024
SemRoDe: Macro Adversarial Training to Learn Representations That are Robust to Word-Level Attacks Brian Formento Wenjie Feng Chuan-Sheng Foo Anh Tuan Luu See-Kiong Ng AAML 104 7 0 27 Mar 2024
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN Biswadeep Chakraborty Beomseok Kang H. Kumar Saibal Mukhopadhyay 127 11 0 06 Mar 2024
Debiasing Machine Learning Models by Using Weakly Supervised Learning Renan D. B. Brotto Jean-Michel Loubes Laurent Risser J. Florens K. Filho João Marcos Travassos Romano 64 1 0 23 Feb 2024
Optimal Transport on the Lie Group of Roto-translations Daan Bon Gautam Pai Gijs Bellaard Olga Mula R. Duits OT 78 1 0 23 Feb 2024
Transfer Operators from Batches of Unpaired Points via Entropic Transport Kernels F. Beier Hancheng Bi Clément Sarrazin Bernhard Schmitzer Gabriele Steidl OT 36 2 0 13 Feb 2024
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems Yair Schiff Zhong Yi Wan Jeffrey B. Parker Stephan Hoyer Volodymyr Kuleshov Fei Sha Leonardo Zepeda-Núñez 142 15 0 06 Feb 2024
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks D. M. Nguyen Nina Lukashina Tai Nguyen An T. Le TrungTin Nguyen Nhat Ho Jan Peters Daniel Sonntag Viktor Zaverkin Mathias Niepert 76 5 0 03 Feb 2024
Sliced Wasserstein with Random-Path Projecting Directions Khai Nguyen Shujian Zhang Tam Le Nhat Ho 106 9 0 29 Jan 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 66 10 0 27 Jan 2024
Neural Sinkhorn Gradient Flow Huminhao Zhu Fangyikang Wang Chao Zhang Han Zhao Hui Qian 72 8 0 25 Jan 2024
Wasserstein Distance-based Expansion of Low-Density Latent Regions for Unknown Class Detection Prakash Mallick Feras Dayoub Jamie Sherrah 45 1 0 10 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 68 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 76 0 0 25 Dec 2023
RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios Wenhao Ding Yulong Cao Ding Zhao Chaowei Xiao Marco Pavone 82 28 0 19 Dec 2023
Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation L. Eyring Dominik Klein Théo Uscidda Giovanni Palla Niki Kilbertus Zeynep Akata Fabian J. Theis OT 74 18 0 25 Nov 2023
Soft Matching Distance: A metric on neural representations that captures single-neuron tuning Meenakshi Khosla Alex H. Williams 60 13 0 16 Nov 2023
Make a Donut: Hierarchical EMD-Space Planning for Zero-Shot Deformable Manipulation with Tools Yang You Bokui Shen Congyue Deng Haoran Geng Songlin Wei He Wang Leonidas Guibas 60 1 0 05 Nov 2023
Task-Agnostic Low-Rank Adapters for Unseen English Dialects Zedian Xiao William B. Held Yanchen Liu Diyi Yang 102 9 0 02 Nov 2023
Y-Diagonal Couplings: Approximating Posteriors with Conditional Wasserstein Distances Jannis Chemseddine Paul Hagemann Christian Wald 112 3 0 20 Oct 2023
Entropic (Gromov) Wasserstein Flow Matching with GENOT Dominik Klein Théo Uscidda Fabian J. Theis Marco Cuturi OT 64 2 0 13 Oct 2023
Generating and Evaluating Tests for K-12 Students with Language Model Simulations: A Case Study on Sentence Reading Efficiency E. Zelikman Wanjing Anya Ma Jasmine E. Tran Diyi Yang Jason D. Yeatman Nick Haber AI4Ed 64 11 0 10 Oct 2023
Leveraging Data Geometry to Mitigate CSM in Steganalysis Rony Abecidan V. Itier Jérémie Boulanger Patrick Bas Tomás Pevný 25 4 0 06 Oct 2023
On the Benefit of Optimal Transport for Curriculum Reinforcement Learning Pascal Klink Carlo DÉramo Jan Peters Joni Pajarinen 84 3 0 25 Sep 2023
Flow Factorized Representation Learning Yue Song Thomas Anderson Keller N. Sebe Max Welling DRL OOD 125 3 0 22 Sep 2023
Wasserstein Distributionally Robust Policy Evaluation and Learning for Contextual Bandits Yi Shen Pan Xu Michael M. Zavlanos OffRL 151 5 0 15 Sep 2023
Topological Node2vec: Enhanced Graph Embedding via Persistent Homology Yasuaki Hiraoka Yusuke Imoto Killian Meehan Théo Lacombe Toshiaki Yachimura 56 5 0 15 Sep 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 115 5 0 26 Aug 2023
Simulation-Based Prior Knowledge Elicitation for Parametric Bayesian Models F. Bockting Stefan T. Radev Paul-Christian Bürkner 59 12 0 22 Aug 2023
Conditional Sampling of Variational Autoencoders via Iterated Approximate Ancestral Sampling Vaidotas Šimkus Michael U. Gutmann BDL DRL 38 3 0 17 Aug 2023
A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-objective Optimization Ya-Wen Huang Zherui Zhang Ao Jiao Yuxin Ma Ran Cheng 66 6 0 10 Aug 2023
Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions Samantha Chen Yusu Wang 89 4 0 01 Aug 2023
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging M. Valiuddin Christiaan Viviers R. V. Sloun Peter H. N. de With Fons van der Sommen UQCV 100 2 0 31 Jul 2023
Multi-Source Domain Adaptation through Dataset Dictionary Learning in Wasserstein Space Eduardo Fernandes Montesuma Fred-Maurice Ngole-Mboula Antoine Souloumiac OOD 91 14 0 27 Jul 2023
Manifold Learning with Sparse Regularised Optimal Transport Stephen X. Zhang Gilles Mordant Tetsuya Matsumoto Geoffrey Schiebinger OT 73 12 0 19 Jul 2023
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources Feiyang Kang H. Just Anit Kumar Sahu R. Jia 93 11 0 05 Jul 2023
SoK: Privacy-Preserving Data Synthesis Yuzheng Hu Fan Wu Yue Liu Yunhui Long Gonzalo Munilla Garrido Chang Ge Bolin Ding David A. Forsyth Yue Liu Basel Alomair 116 33 0 05 Jul 2023
Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics Guillaume Mahey Laetitia Chapel Gilles Gasso Clément Bonet Nicolas Courty OT 47 4 0 04 Jul 2023
On a Relation Between the Rate-Distortion Function and Optimal Transport Eric Lei Hamed Hassani Shirin Saeedi Bidokhti OT 53 2 0 01 Jul 2023
Joint Level Generation and Translation Using Gameplay Videos Negar Mirgati Matthew J. Guzdial VGen 52 0 0 29 Jun 2023
Recent Advances in Optimal Transport for Machine Learning Eduardo Fernandes Montesuma Fred-Maurice Ngole-Mboula Antoine Souloumiac OOD OT 96 39 0 28 Jun 2023
Toward Mesh-Invariant 3D Generative Deep Learning with Geometric Measures T. Besnier Sylvain Arguillere E. Pierson Mohamed Daoudi 3DH 77 9 0 27 Jun 2023