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Measure estimation on manifolds: an optimal transport approach
v1v2 (latest)

Measure estimation on manifolds: an optimal transport approach

15 February 2021
Vincent Divol
    OT
ArXiv (abs)PDFHTML

Papers citing "Measure estimation on manifolds: an optimal transport approach"

15 / 15 papers shown
Title
On the minimax optimality of Flow Matching through the connection to kernel density estimation
On the minimax optimality of Flow Matching through the connection to kernel density estimation
Lea Kunkel
Mathias Trabs
83
1
0
17 Apr 2025
Subspace-Constrained Quadratic Matrix Factorization: Algorithm and
  Applications
Subspace-Constrained Quadratic Matrix Factorization: Algorithm and Applications
Zheng Zhai
Xiaohui Li
63
0
0
07 Nov 2024
Measure estimation on a manifold explored by a diffusion process
Measure estimation on a manifold explored by a diffusion process
Vincent Divol
Hélene Guérin
Dinh-Toan Nguyen
Viet Tran
OT
101
0
0
15 Oct 2024
Linear Convergence of Diffusion Models Under the Manifold Hypothesis
Linear Convergence of Diffusion Models Under the Manifold Hypothesis
Peter Potaptchik
Iskander Azangulov
George Deligiannidis
DiffM
91
6
0
11 Oct 2024
Nonparametric regression on random geometric graphs sampled from
  submanifolds
Nonparametric regression on random geometric graphs sampled from submanifolds
Paul Rosa
Judith Rousseau
126
1
0
31 May 2024
Density estimation using the perceptron
Density estimation using the perceptron
P. R. Gerber
Tianze Jiang
Yury Polyanskiy
Rui Sun
66
0
0
29 Dec 2023
Sample Complexity Bounds for Estimating Probability Divergences under
  Invariances
Sample Complexity Bounds for Estimating Probability Divergences under Invariances
B. Tahmasebi
Stefanie Jegelka
112
6
0
06 Nov 2023
Continuum Limits of Ollivier's Ricci Curvature on data clouds: pointwise
  consistency and global lower bounds
Continuum Limits of Ollivier's Ricci Curvature on data clouds: pointwise consistency and global lower bounds
Nicolas García Trillos
Melanie Weber
127
4
0
05 Jul 2023
Support and distribution inference from noisy data
Support and distribution inference from noisy data
Jérémie Capitao-Miniconi
Elisabeth Gassiat
Luc Lehéricy
61
1
0
19 Apr 2023
Quadratic Matrix Factorization with Applications to Manifold Learning
Quadratic Matrix Factorization with Applications to Manifold Learning
Zheng Zhai
Hengchao Chen
Qiang Sun
62
4
0
30 Jan 2023
Empirical Optimal Transport between Different Measures Adapts to Lower
  Complexity
Empirical Optimal Transport between Different Measures Adapts to Lower Complexity
Shayan Hundrieser
Thomas Staudt
Axel Munk
OT
73
23
0
21 Feb 2022
Rates of convergence for nonparametric estimation of singular
  distributions using generative adversarial networks
Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networks
Minwoo Chae
GAN
81
5
0
07 Feb 2022
Plugin Estimation of Smooth Optimal Transport Maps
Plugin Estimation of Smooth Optimal Transport Maps
Tudor Manole
Sivaraman Balakrishnan
Jonathan Niles-Weed
Larry A. Wasserman
OT
89
100
0
26 Jul 2021
Transport Dependency: Optimal Transport Based Dependency Measures
Transport Dependency: Optimal Transport Based Dependency Measures
T. Nies
Thomas Staudt
Axel Munk
OT
83
20
0
05 May 2021
Reweighting samples under covariate shift using a Wasserstein distance
  criterion
Reweighting samples under covariate shift using a Wasserstein distance criterion
J. Reygner
A. Touboul
434
2
0
19 Oct 2020
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