Meta Optimal Transport

10 June 2022

Papers citing "Meta Optimal Transport"

26 / 26 papers shown

Title
Embedding Empirical Distributions for Computing Optimal Transport Maps Mingchen Jiang Peng Xu Xichen Ye Xiaohui Chen Yun Yang Yifan Chen OT 56 0 0 24 Apr 2025
DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows Jonathan Geuter Clément Bonet Anna Korba David Alvarez-Melis 61 0 0 03 Mar 2025
Zero-Shot Offline Imitation Learning via Optimal Transport Thomas Rupf Marco Bagatella Nico Gürtler Jonas Frey Georg Martius OffRL 133 0 0 11 Oct 2024
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold Lazar Atanackovic Xi Zhang Brandon Amos Mathieu Blanchette Leo J. Lee Yoshua Bengio Alexander Tong Kirill Neklyudov 39 5 0 26 Aug 2024
CLAMS: A System for Zero-Shot Model Selection for Clustering Prabhant Singh Pieter Gijsbers Murat Onur Yildirim Elif Ceren Gok Joaquin Vanschoren 34 0 0 15 Jul 2024
Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformers Doron Haviv Russell Z. Kunes Thomas Dougherty Cassandra Burdziak T. Nawy Anna Gilbert D. Pe’er OT 24 5 0 15 Apr 2024
On the impact of measure pre-conditionings on general parametric ML models and transfer learning via domain adaptation Joaquín Sánchez García AI4CE 16 0 0 04 Mar 2024
Unsupervised Solution Operator Learning for Mean-Field Games via Sampling-Invariant Parametrizations Han Huang Rongjie Lai 30 2 0 27 Jan 2024
DeepEMD: A Transformer-based Fast Estimation of the Earth Mover's Distance A. Sinha F. Fleuret 25 3 0 16 Nov 2023
Quasi-Monte Carlo for 3D Sliced Wasserstein Khai Nguyen Nicola Bariletto Nhat Ho 29 17 0 21 Sep 2023
Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey Abdelwahed Khamis Russell Tsuchida Mohamed Tarek V. Rolland Lars Petersson OT 43 12 0 08 May 2023
Learning to Re-rank with Constrained Meta-Optimal Transport Andrés Hoyos-Idrobo OffRL 18 0 0 29 Apr 2023
On amortizing convex conjugates for optimal transport Brandon Amos OT 81 27 0 21 Oct 2022
Sparsity-Constrained Optimal Transport Tianlin Liu J. Puigcerver Mathieu Blondel OT 21 22 0 30 Sep 2022
GeONet: a neural operator for learning the Wasserstein geodesic Andrew Gracyk Xiaohui Chen OT 18 2 0 28 Sep 2022
Rethinking Initialization of the Sinkhorn Algorithm James Thornton Marco Cuturi OT 21 10 0 15 Jun 2022
Tutorial on amortized optimization Brandon Amos OffRL 75 43 0 01 Feb 2022
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
Neural Optimal Transport Alexander Korotin Daniil Selikhanovych Evgeny Burnaev OT 132 89 0 28 Jan 2022
Cross-Domain Imitation Learning via Optimal Transport Arnaud Fickinger Samuel N. Cohen Stuart J. Russell Brandon Amos OT 45 48 0 07 Oct 2021
Generative Modeling with Optimal Transport Maps Litu Rout Alexander Korotin Evgeny Burnaev OT DiffM 122 65 0 06 Oct 2021
Neural Monge Map estimation and its applications JiaoJiao Fan Shu Liu Shaojun Ma Haomin Zhou Yongxin Chen OT 24 23 0 07 Jun 2021
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang Ricky T. Q. Chen Christos Tsirigotis Aaron Courville OT 119 95 0 10 Dec 2020
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin E. Burnaev GAN 128 100 0 28 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 187 599 0 22 Sep 2016