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Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein

Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein

28 January 2022
Marco Cuturi
Laetitia Meng-Papaxanthos
Yingtao Tian
Charlotte Bunne
Geoff Davis
O. Teboul
    OT
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Papers citing "Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein"

15 / 15 papers shown
Title
Model alignment using inter-modal bridges
Model alignment using inter-modal bridges
Ali Gholamzadeh
Noor Sajid
169
0
0
18 May 2025
Improved learning theory for kernel distribution regression with two-stage sampling
Improved learning theory for kernel distribution regression with two-stage sampling
François Bachoc
Louis Bethune
Alberto González Sanz
Jean-Michel Loubes
118
2
0
28 Jan 2025
Wasserstein Flow Matching: Generative modeling over families of distributions
Wasserstein Flow Matching: Generative modeling over families of distributions
Doron Haviv
Aram-Alexandre Pooladian
Dana Peér
Brandon Amos
OOD
60
1
0
01 Nov 2024
Learning signals defined on graphs with optimal transport and Gaussian process regression
Learning signals defined on graphs with optimal transport and Gaussian process regression
Raphael Carpintero Perez
Sébastien da Veiga
Josselin Garnier
B. Staber
152
1
0
21 Oct 2024
Zero-Shot Offline Imitation Learning via Optimal Transport
Zero-Shot Offline Imitation Learning via Optimal Transport
Thomas Rupf
Marco Bagatella
Nico Gürtler
Jonas Frey
Georg Martius
OffRL
363
0
0
11 Oct 2024
Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and
  Costs
Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs
M. Scetbon
Gabriel Peyré
Marco Cuturi
OT
49
61
0
02 Jun 2021
Low-Rank Sinkhorn Factorization
Low-Rank Sinkhorn Factorization
M. Scetbon
Marco Cuturi
Gabriel Peyré
50
59
0
08 Mar 2021
Differentiable Ranks and Sorting using Optimal Transport
Differentiable Ranks and Sorting using Optimal Transport
Marco Cuturi
O. Teboul
Jean-Philippe Vert
OT
64
158
0
28 May 2019
Statistical bounds for entropic optimal transport: sample complexity and
  the central limit theorem
Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem
Gonzalo E. Mena
Jonathan Niles-Weed
OT
48
166
0
28 May 2019
Sample Complexity of Sinkhorn divergences
Sample Complexity of Sinkhorn divergences
Aude Genevay
Lénaïc Chizat
Francis R. Bach
Marco Cuturi
Gabriel Peyré
OT
70
286
0
05 Oct 2018
Differential Properties of Sinkhorn Approximation for Learning with
  Wasserstein Distance
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance
Giulia Luise
Alessandro Rudi
Massimiliano Pontil
C. Ciliberto
OT
60
130
0
30 May 2018
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
269
619
0
22 Sep 2016
On the rate of convergence in Wasserstein distance of the empirical
  measure
On the rate of convergence in Wasserstein distance of the empirical measure
N. Fournier
Arnaud Guillin
151
1,142
0
07 Dec 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
178
4,251
0
04 Jun 2013
Ranking via Sinkhorn Propagation
Ranking via Sinkhorn Propagation
Ryan P. Adams
R. Zemel
88
147
0
09 Jun 2011
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