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Regularity as Regularization: Smooth and Strongly Convex Brenier
  Potentials in Optimal Transport

Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport

26 May 2019
François-Pierre Paty
Alexandre d’Aspremont
Marco Cuturi
    OT
ArXivPDFHTML

Papers citing "Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport"

9 / 9 papers shown
Title
From Missing Pieces to Masterpieces: Image Completion with Context-Adaptive Diffusion
From Missing Pieces to Masterpieces: Image Completion with Context-Adaptive Diffusion
Pourya Shamsolmoali
Masoumeh Zareapoor
Huiyu Zhou
Michael Felsberg
Dacheng Tao
X. Li
DiffM
37
0
0
19 Apr 2025
Optimal Transport for Measures with Noisy Tree Metric
Optimal Transport for Measures with Noisy Tree Metric
Tam Le
Truyen V. Nguyen
Kenji Fukumizu
OT
32
4
0
20 Oct 2023
Entropic Neural Optimal Transport via Diffusion Processes
Entropic Neural Optimal Transport via Diffusion Processes
Nikita Gushchin
Alexander Kolesov
Alexander Korotin
Dmitry Vetrov
Evgeny Burnaev
OT
DiffM
37
37
0
02 Nov 2022
Algorithms for Weak Optimal Transport with an Application to Economics
Algorithms for Weak Optimal Transport with an Application to Economics
Franccois-Pierre Paty
Philippe Choné
F. Kramarz
OT
18
2
0
19 May 2022
Near-optimal estimation of smooth transport maps with kernel
  sums-of-squares
Near-optimal estimation of smooth transport maps with kernel sums-of-squares
Boris Muzellec
A. Vacher
Francis R. Bach
Franccois-Xavier Vialard
Alessandro Rudi
OT
32
20
0
03 Dec 2021
Order Constraints in Optimal Transport
Order Constraints in Optimal Transport
Fabian Lim
L. Wynter
Shiau Hong Lim
OT
26
4
0
14 Oct 2021
Proximal Optimal Transport Modeling of Population Dynamics
Proximal Optimal Transport Modeling of Population Dynamics
Charlotte Bunne
Laetitia Meng-Papaxanthos
Andreas Krause
Marco Cuturi
OT
43
81
0
11 Jun 2021
Optimizing Functionals on the Space of Probabilities with Input Convex
  Neural Networks
Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks
David Alvarez-Melis
Yair Schiff
Youssef Mroueh
40
52
0
01 Jun 2021
Wasserstein-2 Generative Networks
Wasserstein-2 Generative Networks
Alexander Korotin
Vage Egiazarian
Arip Asadulaev
Alexander Safin
E. Burnaev
GAN
128
100
0
28 Sep 2019
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