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Optimal transport map estimation in general function spaces

Optimal transport map estimation in general function spaces

7 December 2022
Vincent Divol
Jonathan Niles-Weed
Aram-Alexandre Pooladian
    OT
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Papers citing "Optimal transport map estimation in general function spaces"

20 / 20 papers shown
Title
Conditional simulation via entropic optimal transport: Toward
  non-parametric estimation of conditional Brenier maps
Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps
Ricardo Baptista
Aram-Alexandre Pooladian
Michael C. Brennan
Youssef Marzouk
Jonathan Niles-Weed
OT
31
2
0
11 Nov 2024
Wasserstein Flow Matching: Generative modeling over families of
  distributions
Wasserstein Flow Matching: Generative modeling over families of distributions
D. Haviv
Aram-Alexandre Pooladian
D. Pe’er
Brandon Amos
OOD
35
0
0
01 Nov 2024
Kernel Approximation of Fisher-Rao Gradient Flows
Kernel Approximation of Fisher-Rao Gradient Flows
Jia Jie Zhu
Alexander Mielke
44
5
0
27 Oct 2024
Plug-in estimation of Schrödinger bridges
Plug-in estimation of Schrödinger bridges
Aram-Alexandre Pooladian
Jonathan Niles-Weed
DiffM
OT
40
1
0
21 Aug 2024
Optimal Aggregation of Prediction Intervals under Unsupervised Domain
  Shift
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
Jiawei Ge
Debarghya Mukherjee
Jianqing Fan
26
1
0
16 May 2024
Diffeomorphic Measure Matching with Kernels for Generative Modeling
Diffeomorphic Measure Matching with Kernels for Generative Modeling
Biraj Pandey
Bamdad Hosseini
Pau Batlle
H. Owhadi
18
3
0
12 Feb 2024
A New Perspective On Denoising Based On Optimal Transport
A New Perspective On Denoising Based On Optimal Transport
Nicolas García Trillos
Bodhisattva Sen
OOD
OT
36
0
0
13 Dec 2023
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
Yiheng Jiang
Sinho Chewi
Aram-Alexandre Pooladian
27
7
0
05 Dec 2023
Conditional Optimal Transport on Function Spaces
Conditional Optimal Transport on Function Spaces
Bamdad Hosseini
Alexander W. Hsu
Amirhossein Taghvaei
OT
34
14
0
09 Nov 2023
Distribution learning via neural differential equations: a nonparametric
  statistical perspective
Distribution learning via neural differential equations: a nonparametric statistical perspective
Youssef Marzouk
Zhi Ren
Sven Wang
Jakob Zech
29
11
0
03 Sep 2023
Uniform Confidence Band for Optimal Transport Map on One-Dimensional
  Data
Uniform Confidence Band for Optimal Transport Map on One-Dimensional Data
Donlapark Ponnoprat
Ryotaro Okano
Masaaki Imaizumi
OT
18
1
0
18 Jul 2023
Learning Elastic Costs to Shape Monge Displacements
Learning Elastic Costs to Shape Monge Displacements
Michal Klein
Aram-Alexandre Pooladian
Pierre Ablin
Eugène Ndiaye
Jonathan Niles-Weed
Marco Cuturi
45
3
0
20 Jun 2023
Stability and statistical inference for semidiscrete optimal transport
  maps
Stability and statistical inference for semidiscrete optimal transport maps
Ritwik Sadhu
Ziv Goldfeld
Kengo Kato
OT
30
2
0
17 Mar 2023
An Approximation Theory Framework for Measure-Transport Sampling
  Algorithms
An Approximation Theory Framework for Measure-Transport Sampling Algorithms
Ricardo Baptista
Bamdad Hosseini
Nikola B. Kovachki
Youssef M. Marzouk
A. Sagiv
OT
28
17
0
27 Feb 2023
Minimax estimation of discontinuous optimal transport maps: The
  semi-discrete case
Minimax estimation of discontinuous optimal transport maps: The semi-discrete case
Aram-Alexandre Pooladian
Vincent Divol
Jonathan Niles-Weed
OT
25
20
0
26 Jan 2023
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Bin Cui
Ming-Hsuan Yang
DiffM
MedIm
224
1,300
0
02 Sep 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
26
4
0
07 Feb 2022
Entropic estimation of optimal transport maps
Entropic estimation of optimal transport maps
Aram-Alexandre Pooladian
Jonathan Niles-Weed
OT
82
105
0
24 Sep 2021
An Optimal Transport Approach to Estimating Causal Effects via Nonlinear
  Difference-in-Differences
An Optimal Transport Approach to Estimating Causal Effects via Nonlinear Difference-in-Differences
William Torous
F. Gunsilius
Philippe Rigollet
OT
43
15
0
12 Aug 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
112
95
0
10 Dec 2020
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