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Convex regularization in statistical inverse learning problems
v1v2v3 (latest)

Convex regularization in statistical inverse learning problems

18 February 2021
T. Bubba
Martin Burger
T. Helin
Luca Ratti
ArXiv (abs)PDFHTML

Papers citing "Convex regularization in statistical inverse learning problems"

7 / 7 papers shown
Title
The learned range test method for the inverse inclusion problem
The learned range test method for the inverse inclusion problem
Shiwei Sun
Giovanni S. Alberti
57
0
0
01 Nov 2024
A Lipschitz spaces view of infinitely wide shallow neural networks
A Lipschitz spaces view of infinitely wide shallow neural networks
Francesca Bartolucci
Marcello Carioni
José A. Iglesias
Yury Korolev
Emanuele Naldi
Stefano Vigogna
117
1
0
18 Oct 2024
Statistical inverse learning problems with random observations
Statistical inverse learning problems with random observations
Abhishake
T. Helin
Nicole Mucke
66
1
0
23 Dec 2023
Learned reconstruction methods for inverse problems: sample error
  estimates
Learned reconstruction methods for inverse problems: sample error estimates
Luca Ratti
62
0
0
21 Dec 2023
Least squares approximations in linear statistical inverse learning
  problems
Least squares approximations in linear statistical inverse learning problems
T. Helin
54
2
0
22 Nov 2022
Shearlet-based regularization in statistical inverse learning with an
  application to X-ray tomography
Shearlet-based regularization in statistical inverse learning with an application to X-ray tomography
T. Bubba
Luca Ratti
64
3
0
23 Dec 2021
Two-layer neural networks with values in a Banach space
Two-layer neural networks with values in a Banach space
Yury Korolev
108
24
0
05 May 2021
1