Neural Optimal Transport with Lagrangian Costs

1 June 2024

Aram-Alexandre Pooladian

Carles Domingo-Enrich

Ricky T. Q. Chen

Brandon Amos

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Papers citing "Neural Optimal Transport with Lagrangian Costs"

23 / 23 papers shown

Title
Optimal Stochastic Trace Estimation in Generative Modeling Xinyang Liu Hengrong Du Wei Deng Ruqi Zhang AI4TS 52 0 0 26 Feb 2025
Sum-of-Squares Programming for Ma-Trudinger-Wang Regularity of Optimal Transport Maps Sachin Shivakumar Georgiy A. Bondar Gabriel Khan Abhishek Halder OT 93 0 0 17 Dec 2024
Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps Ricardo Baptista Aram-Alexandre Pooladian Michael C. Brennan Youssef Marzouk Jonathan Niles-Weed OT 34 2 0 11 Nov 2024
Generalized Flow Matching for Transition Dynamics Modeling Haibo Wang Yuxuan Qiu Yanze Wang Rob Brekelmans Yuanqi Du 37 1 0 19 Oct 2024
Zero-Shot Offline Imitation Learning via Optimal Transport Thomas Rupf Marco Bagatella Nico Gürtler Jonas Frey Georg Martius OffRL 192 0 0 11 Oct 2024
Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport Zhenyi Zhang Tiejun Li Peijie Zhou OT 149 9 0 01 Oct 2024
Differentiable Cost-Parameterized Monge Map Estimators Samuel Howard George Deligiannidis Patrick Rebeschini James Thornton OT 46 1 0 12 Jun 2024
Dynamic Conditional Optimal Transport through Simulation-Free Flows Gavin Kerrigan Giosue Migliorini Padhraic Smyth OT 38 10 0 05 Apr 2024
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 36 18 0 25 Nov 2023
A Computational Framework for Solving Wasserstein Lagrangian Flows Kirill Neklyudov Rob Brekelmans Alexander Tong Lazar Atanackovic Qiang Liu Alireza Makhzani OT 46 21 0 16 Oct 2023
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 49 2 0 02 Oct 2023
Learning Elastic Costs to Shape Monge Displacements Michal Klein Aram-Alexandre Pooladian Pierre Ablin Eugène Ndiaye Jonathan Niles-Weed Marco Cuturi 48 4 0 20 Jun 2023
Multisample Flow Matching: Straightening Flows with Minibatch Couplings Aram-Alexandre Pooladian Heli Ben-Hamu Carles Domingo-Enrich Brandon Amos Y. Lipman Ricky T. Q. Chen 65 127 0 28 Apr 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
Empirical Optimal Transport under Estimated Costs: Distributional Limits and Statistical Applications Shayan Hundrieser Gilles Mordant C. Weitkamp Axel Munk OT 32 4 0 03 Jan 2023
On amortizing convex conjugates for optimal transport Brandon Amos OT 81 27 0 21 Oct 2022
Riemannian Metric Learning via Optimal Transport Christopher Scarvelis Justin Solomon OT 42 11 0 18 May 2022
Tutorial on amortized optimization Brandon Amos OffRL 75 43 0 01 Feb 2022
Generative Modeling with Optimal Transport Maps Litu Rout Alexander Korotin Evgeny Burnaev OT DiffM 122 65 0 06 Oct 2021
Entropic estimation of optimal transport maps Aram-Alexandre Pooladian Jonathan Niles-Weed OT 89 105 0 24 Sep 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
Geometric Dataset Distances via Optimal Transport David Alvarez-Melis Nicolò Fusi OT 85 194 0 07 Feb 2020
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin E. Burnaev GAN 131 101 0 28 Sep 2019