Estimating Barycenters of Distributions with Neural Optimal Transport

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Estimating Barycenters of Distributions with Neural Optimal Transport

International Conference on Machine Learning (ICML), 2024

6 February 2024

Alexander Kolesov

Igor Udovichenko

Milena Gazdieva

Alexander Korotin

ArXiv (abs)PDF HTML Github (9★)

Papers citing "Estimating Barycenters of Distributions with Neural Optimal Transport"

7 / 7 papers shown

Title
Computing Wasserstein Barycenters through Gradient Flows Eduardo Fernandes Montesuma Yassir Bendou Mike Gartrell 61 0 0 06 Oct 2025
Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres Samuel Howard Peter Potaptchik George Deligiannidis OT 228 1 0 20 Jun 2025
Liouville PDE-based sliced-Wasserstein flow for fair regression Pilhwa Lee Jayshawn Cooper 128 0 0 22 May 2025
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal TransportInternational Conference on Learning Representations (ICLR), 2024 Milena Gazdieva Jaemoo Choi Alexander Kolesov Jaewoong Choi Petr Mokrov Alexander Korotin OT 259 5 0 04 Oct 2024
Improving Neural Optimal Transport via Displacement InterpolationInternational Conference on Learning Representations (ICLR), 2024 Jaemoo Choi Yongxin Chen Jaewoong Choi OT 250 3 0 03 Oct 2024
Optimal Flow Matching: Learning Straight Trajectories in Just One Step Nikita Kornilov Petr Mokrov Alexander Gasnikov Alexander Korotin 160 30 0 19 Mar 2024
Energy-Guided Continuous Entropic Barycenter Estimation for General CostsNeural Information Processing Systems (NeurIPS), 2023 Alexander Kolesov Petr Mokrov Igor Udovichenko Milena Gazdieva G. Pammer Anastasis Kratsios Evgeny Burnaev Alexander Korotin OT 378 3 0 02 Oct 2023

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