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Neural Optimal Transport with Lagrangian Costs

Neural Optimal Transport with Lagrangian Costs

1 June 2024
Aram-Alexandre Pooladian
Carles Domingo-Enrich
Ricky T. Q. Chen
Brandon Amos
    OT
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Papers citing "Neural Optimal Transport with Lagrangian Costs"

12 / 12 papers shown
Title
Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport
Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport
Zhenyi Zhang
Tiejun Li
Peijie Zhou
OT
106
5
0
01 Oct 2024
Multisample Flow Matching: Straightening Flows with Minibatch Couplings
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
41
62
0
28 Apr 2023
Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem
Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem
Xavier Aramayo Carrasco
Maksim Nekrashevich
Petr Mokrov
Evgeny Burnaev
Alexander Korotin
OT
22
5
0
10 Mar 2023
Empirical Optimal Transport under Estimated Costs: Distributional Limits
  and Statistical Applications
Empirical Optimal Transport under Estimated Costs: Distributional Limits and Statistical Applications
Shayan Hundrieser
Gilles Mordant
C. Weitkamp
Axel Munk
OT
16
4
0
03 Jan 2023
On amortizing convex conjugates for optimal transport
On amortizing convex conjugates for optimal transport
Brandon Amos
OT
48
21
0
21 Oct 2022
Riemannian Metric Learning via Optimal Transport
Riemannian Metric Learning via Optimal Transport
Christopher Scarvelis
Justin Solomon
OT
23
7
0
18 May 2022
Tutorial on amortized optimization
Tutorial on amortized optimization
Brandon Amos
OffRL
31
33
0
01 Feb 2022
Generative Modeling with Optimal Transport Maps
Generative Modeling with Optimal Transport Maps
Litu Rout
Alexander Korotin
Evgeny Burnaev
OT
DiffM
99
56
0
06 Oct 2021
Entropic estimation of optimal transport maps
Entropic estimation of optimal transport maps
Aram-Alexandre Pooladian
Jonathan Niles-Weed
OT
49
90
0
24 Sep 2021
Convex Potential Flows: Universal Probability Distributions with Optimal
  Transport and Convex Optimization
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
Chin-Wei Huang
Ricky T. Q. Chen
Christos Tsirigotis
Aaron Courville
OT
83
83
0
10 Dec 2020
Geometric Dataset Distances via Optimal Transport
Geometric Dataset Distances via Optimal Transport
David Alvarez-Melis
Nicolò Fusi
OT
55
157
0
07 Feb 2020
Wasserstein-2 Generative Networks
Wasserstein-2 Generative Networks
Alexander Korotin
Vage Egiazarian
Arip Asadulaev
Alexander Safin
E. Burnaev
GAN
93
89
0
28 Sep 2019
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