Recent Advances in Optimal Transport for Machine Learning

28 June 2023

Eduardo Fernandes Montesuma

Fred-Maurice Ngole-Mboula

Antoine Souloumiac

OOD

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Papers citing "Recent Advances in Optimal Transport for Machine Learning"

33 / 33 papers shown

Title
Wasserstein Barycenter Gaussian Process based Bayesian Optimization Antonio Candelieri Andrea Ponti Francesco Archetti 2 0 0 18 May 2025
Wasserstein Distances Made Explainable: Insights into Dataset Shifts and Transport Phenomena Philip Naumann Jacob R. Kauffmann G. Montavon 29 0 0 09 May 2025
Revisiting Data Auditing in Large Vision-Language Models Hongyu Zhu Sichu Liang Luu Anh Tuan Boheng Li Tongxin Yuan Fangqi Li Shilin Wang Zhuosheng Zhang VLM 194 0 0 25 Apr 2025
VeLU: Variance-enhanced Learning Unit for Deep Neural Networks Ashkan Shakarami Yousef Yeganeh Azade Farshad Lorenzo Nicolè Stefano Ghidoni Nassir Navab 52 0 0 21 Apr 2025
Scalable Approximate Algorithms for Optimal Transport Linear Models Tomasz Kacprzak Francois Kamper Michael W. Heiss Gianluca Janka Ann M. Dillner Satoshi Takahama OT 37 0 0 06 Apr 2025
TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model Cheng Yang Yang Sui Jinqi Xiao Lingyi Huang Yu Gong ... Jinghua Yan Y. Bai P. Sadayappan Xia Hu Bo Yuan VLM 64 0 0 24 Mar 2025
Decentralized Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation Rebecca Clain Eduardo Fernandes Montesuma Fred-Maurice Ngole-Mboula 38 0 0 22 Mar 2025
Constrained Gaussian Wasserstein Optimal Transport with Commutative Covariance Matrices Jun Chen J. Wang Ruibin Li H. Zhou Wei Dong Huan Liu Yuanhao Yu OT 96 0 0 05 Mar 2025
Your contrastive learning problem is secretly a distribution alignment problem Zihao Chen Chi-Heng Lin Ran Liu Jingyun Xiao Eva L. Dyer 75 1 0 27 Feb 2025
Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport Mingyang Sun Pengxiang Ding Weinan Zhang Donglin Wang OT 83 0 0 24 Feb 2025
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Michael Wilson Tom Needham A. Srivastava OT 39 0 0 15 Nov 2024
Learning signals defined on graphs with optimal transport and Gaussian process regression Raphael Carpintero Perez Sébastien da Veiga Josselin Garnier B. Staber 36 1 0 21 Oct 2024
Beyond FVD: Enhanced Evaluation Metrics for Video Generation Quality Ge Ya Luo Gian Mario Favero Zhi Hao Luo Alexia Jolicoeur-Martineau Christopher Pal VGen 27 4 0 07 Oct 2024
Online Multi-Source Domain Adaptation through Gaussian Mixtures and Dataset Dictionary Learning Eduardo Fernandes Montesuma Stevan Le Stanc Fred-Maurice Ngole-Mboula 16 0 0 29 Jul 2024
Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation Eduardo Fernandes Montesuma F. E. Castellon Fred-Maurice Ngole-Mboula Aurélien Mayoue Antoine Souloumiac Cédric Gouy-Pailler 51 1 0 16 Jul 2024
Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model D. M. Nguyen An T. Le Trung Q. Nguyen N. T. Diep Tai Nguyen D. Duong-Tran Jan Peters Li Shen Mathias Niepert Daniel Sonntag VLM 43 3 0 05 Jul 2024
Lighter, Better, Faster Multi-Source Domain Adaptation with Gaussian Mixture Models and Optimal Transport Eduardo Fernandes Montesuma Fred-Maurice Ngole-Mboula Antoine Souloumiac OT 21 3 0 16 Apr 2024
Optimal Transport for Domain Adaptation through Gaussian Mixture Models Eduardo Fernandes Montesuma Fred-Maurice Ngole-Mboula Antoine Souloumiac OT 46 1 0 18 Mar 2024
Decentralized and Equitable Optimal Transport Ivan Lau Shiqian Ma César A. Uribe OT 33 0 0 07 Mar 2024
ENOT: Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport N. Buzun Maksim Bobrin Dmitry V. Dylov OT OOD 26 2 0 06 Mar 2024
LanDA: Language-Guided Multi-Source Domain Adaptation Zhenbin Wang Lei Zhang Lituan Wang Minjuan Zhu 35 10 0 25 Jan 2024
The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning Ali Baheri Mykel J. Kochenderfer OT 24 3 0 18 Jan 2024
Group-blind optimal transport to group parity and its constrained variants Quan-Gen Zhou Jakub Marecek 40 3 0 17 Oct 2023
Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation Fabiola Espinosa Castellon Eduardo Fernandes Montesuma Fred-Maurice Ngole-Mboula Aurélien Mayoue Antoine Souloumiac Cédric Gouy-Pallier FedML 10 5 0 14 Sep 2023
Multi-Source Domain Adaptation through Dataset Dictionary Learning in Wasserstein Space Eduardo Fernandes Montesuma Fred-Maurice Ngole-Mboula Antoine Souloumiac OOD 15 12 0 27 Jul 2023
Spatial and Modal Optimal Transport for Fast Cross-Modal MRI Reconstruction Qi Wang Zhijie Wen Jun Shi Qian Wang Dinggang Shen Shihui Ying MedIm 35 2 0 04 May 2023
Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem Xavier Aramayo Carrasco Maksim Nekrashevich Petr Mokrov Evgeny Burnaev Alexander Korotin OT 40 5 0 10 Mar 2023
Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein Marco Cuturi Laetitia Meng-Papaxanthos Yingtao Tian Charlotte Bunne Geoff Davis O. Teboul OT 143 96 0 28 Jan 2022
Online Graph Dictionary Learning Cédric Vincent-Cuaz Titouan Vayer Rémi Flamary Marco Corneli Nicolas Courty 34 44 0 12 Feb 2021
Geometric Dataset Distances via Optimal Transport David Alvarez-Melis Nicolò Fusi OT 75 194 0 07 Feb 2020
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin E. Burnaev GAN 131 100 0 28 Sep 2019
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 187 599 0 22 Sep 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 177 9,332 0 28 May 2015