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An Approximation Theory Framework for Measure-Transport Sampling
  Algorithms

An Approximation Theory Framework for Measure-Transport Sampling Algorithms

27 February 2023
Ricardo Baptista
Bamdad Hosseini
Nikola B. Kovachki
Youssef M. Marzouk
A. Sagiv
    OT
ArXivPDFHTML

Papers citing "An Approximation Theory Framework for Measure-Transport Sampling Algorithms"

4 / 4 papers shown
Title
Measure transfer via stochastic slicing and matching
Measure transfer via stochastic slicing and matching
Shiying Li
Caroline Moosmueller
14
3
0
11 Jul 2023
On Certified Generalization in Structured Prediction
On Certified Generalization in Structured Prediction
Bastian Boll
Christoph Schnörr
19
0
0
15 Jun 2023
Conditional Generative Models are Provably Robust: Pointwise Guarantees
  for Bayesian Inverse Problems
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems
Fabian Altekrüger
Paul Hagemann
Gabriele Steidl
TPM
21
9
0
28 Mar 2023
Entropic estimation of optimal transport maps
Entropic estimation of optimal transport maps
Aram-Alexandre Pooladian
Jonathan Niles-Weed
OT
74
105
0
24 Sep 2021
1