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Continuous Regularized Wasserstein Barycenters

Neural Information Processing Systems (NeurIPS), 2025

28 August 2020

Papers citing "Continuous Regularized Wasserstein Barycenters"

29 / 29 papers shown

Title
A Spectral-Grassmann Wasserstein metric for operator representations of dynamical systems Thibaut Germain Rémi Flamary Vladimir Kostic Karim Lounici 12 0 0 29 Sep 2025
Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres Samuel Howard Peter Potaptchik George Deligiannidis OT 112 0 0 20 Jun 2025
BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Xiaole Tang Xiaoyi He X. Gu Jian Sun 68 1 0 27 May 2025
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport Milena Gazdieva Jaemoo Choi Alexander Kolesov Jaewoong Choi Petr Mokrov Alexander Korotin OT 243 5 0 04 Oct 2024
Analysis of Kernel Mirror Prox for Measure Optimization Pavel Dvurechensky Jia Jie Zhu 212 4 0 29 Feb 2024
Estimating Barycenters of Distributions with Neural Optimal Transport Alexander Kolesov Petr Mokrov Igor Udovichenko Milena Gazdieva G. Pammer Evgeny Burnaev Alexander Korotin OT 197 10 0 06 Feb 2024
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs Alexander Kolesov Petr Mokrov Igor Udovichenko Milena Gazdieva G. Pammer Anastasis Kratsios Evgeny Burnaev Alexander Korotin OT 331 3 0 02 Oct 2023
On the Benefit of Optimal Transport for Curriculum Reinforcement Learning Pascal Klink Carlo DÉramo Jan Peters Joni Pajarinen 130 6 0 25 Sep 2023
Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters Maxence Noble Valentin De Bortoli Arnaud Doucet Alain Durmus DiffM OT 154 11 0 26 May 2023
Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey Abdelwahed Khamis Russell Tsuchida Mohamed Tarek V. Rolland Lars Petersson OT 246 22 0 08 May 2023
Doubly Regularized Entropic Wasserstein Barycenters Lénaïc Chizat 144 15 0 21 Mar 2023
On amortizing convex conjugates for optimal transportInternational Conference on Learning Representations (ICLR), 2025 Brandon Amos OT 248 30 0 21 Oct 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation Peide Huang Mengdi Xu Jiacheng Zhu Laixi Shi Fei Fang Ding Zhao CLL 156 30 0 18 Oct 2022
On the Wasserstein median of probability measures Kisung You Dennis L. Shung 146 5 0 07 Sep 2022
Meta Optimal Transport Brandon Amos Samuel N. Cohen Giulia Luise I. Redko OT 183 27 0 10 Jun 2022
Wasserstein Distributionally Robust Optimization with Wasserstein Barycenters Tim Tsz-Kit Lau Han Liu OOD 129 3 0 23 Mar 2022
Approximative Algorithms for Multi-Marginal Optimal Transport and Free-Support Wasserstein Barycenters Johannes von Lindheim OT 123 5 0 02 Feb 2022
Wasserstein Iterative Networks for Barycenter Estimation Alexander Korotin Vage Egiazarian Lingxiao Li Evgeny Burnaev 194 31 0 28 Jan 2022
Fast Topological Clustering with Wasserstein Distance Tananun Songdechakraiwut Bryan M. Krause M. Banks K. Nourski B. V. Veen 166 5 0 30 Nov 2021
Variational Wasserstein Barycenters with c-Cyclical Monotonicity Jinjin Chi Zhiyao Yang Jihong Ouyang Ximing Li 143 6 0 22 Oct 2021
Score-based Generative Neural Networks for Large-Scale Optimal Transport Max Daniels Tyler Maunu Paul Hand OT DiffM 202 80 0 07 Oct 2021
Quantitative Uniform Stability of the Iterative Proportional Fitting Procedure George Deligiannidis Valentin De Bortoli Arnaud Doucet 134 25 0 18 Aug 2021
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent Jason M. Altschuler Sinho Chewi P. Gerber Austin J. Stromme 160 41 0 16 Jun 2021
Iterative Alignment Flows Zeyu Zhou Ziyu Gong Pradeep Ravikumar David I. Inouye OT DRL 171 5 0 15 Apr 2021
A novel notion of barycenter for probability distributions based on optimal weak mass transport Elsa Cazelles Felipe A. Tobar J. Fontbona OT 150 13 0 26 Feb 2021
Learning to Generate Wasserstein Barycenters Julien Lacombe Julie Digne Nicolas Courty Nicolas Bonneel 99 12 0 24 Feb 2021
On Transportation of Mini-batches: A Hierarchical ApproachInternational Conference on Machine Learning (ICML), 2024 Khai Nguyen Dang Nguyen Quoc Nguyen Tung Pham Hung Bui Dinh Q. Phung Trung Le Nhat Ho OT 142 19 0 11 Feb 2021
Continuous Wasserstein-2 Barycenter Estimation without Minimax OptimizationInternational Conference on Learning Representations (ICLR), 2025 Alexander Korotin Lingxiao Li Justin Solomon Evgeny Burnaev 157 57 0 02 Feb 2021
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks JiaoJiao Fan Amirhossein Taghvaei Yongxin Chen 189 60 0 08 Jul 2020