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Measure estimation on manifolds: an optimal transport approach
Probability theory and related fields (PTRF), 2021
15 February 2021
Vincent Divol
OT
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Papers citing
"Measure estimation on manifolds: an optimal transport approach"
16 / 16 papers shown
Landing with the Score: Riemannian Optimization through Denoising
Andrey Kharitenko
Zebang Shen
Riccardo De Santi
Niao He
Florian Doerfler
DiffM
272
1
0
27 Sep 2025
On the minimax optimality of Flow Matching through the connection to kernel density estimation
Lea Kunkel
Mathias Trabs
363
6
0
17 Apr 2025
Subspace-Constrained Quadratic Matrix Factorization: Algorithm and Applications
Pattern Recognition (Pattern Recogn.), 2024
Zheng Zhai
Xiaohui Li
261
0
0
07 Nov 2024
Measure estimation on a manifold explored by a diffusion process
Vincent Divol
Hélene Guérin
Dinh-Toan Nguyen
Viet Tran
OT
245
0
0
15 Oct 2024
Linear Convergence of Diffusion Models Under the Manifold Hypothesis
Annual Conference Computational Learning Theory (COLT), 2024
Peter Potaptchik
Iskander Azangulov
George Deligiannidis
DiffM
387
28
0
11 Oct 2024
Nonparametric regression on random geometric graphs sampled from submanifolds
Paul Rosa
Judith Rousseau
343
3
0
31 May 2024
Density estimation using the perceptron
P. R. Gerber
Tianze Jiang
Yury Polyanskiy
Rui Sun
362
0
0
29 Dec 2023
Sample Complexity Bounds for Estimating Probability Divergences under Invariances
International Conference on Machine Learning (ICML), 2023
B. Tahmasebi
Stefanie Jegelka
351
11
0
06 Nov 2023
Continuum Limits of Ollivier's Ricci Curvature on data clouds: pointwise consistency and global lower bounds
Nicolas García Trillos
Melanie Weber
309
8
0
05 Jul 2023
Support and distribution inference from noisy data
Jérémie Capitao-Miniconi
Elisabeth Gassiat
Luc Lehéricy
280
1
0
19 Apr 2023
Quadratic Matrix Factorization with Applications to Manifold Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Zheng Zhai
Hengchao Chen
Qiang Sun
250
5
0
30 Jan 2023
Empirical Optimal Transport between Different Measures Adapts to Lower Complexity
Annales De L Institut Henri Poincare-probabilites Et Statistiques (Ann. Inst. Henri Poincaré Probab. Stat.), 2022
Shayan Hundrieser
Thomas Staudt
Axel Munk
OT
300
32
0
21 Feb 2022
Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networks
Journal of the Korean Statistical Society (JKSS), 2022
Minwoo Chae
GAN
321
6
0
07 Feb 2022
Plugin Estimation of Smooth Optimal Transport Maps
Annals of Statistics (Ann. Stat.), 2021
Tudor Manole
Sivaraman Balakrishnan
Jonathan Niles-Weed
Larry A. Wasserman
OT
551
120
0
26 Jul 2021
Transport Dependency: Optimal Transport Based Dependency Measures
The Annals of Applied Probability (Ann. Appl. Probab.), 2021
T. Nies
Thomas Staudt
Axel Munk
OT
389
25
0
05 May 2021
Reweighting samples under covariate shift using a Wasserstein distance criterion
Electronic Journal of Statistics (EJS), 2020
J. Reygner
A. Touboul
713
2
0
19 Oct 2020
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