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Bayesian inverse problems with unknown operators
v1v2 (latest)

Bayesian inverse problems with unknown operators

30 January 2018
Mathias Trabs
ArXiv (abs)PDFHTML

Papers citing "Bayesian inverse problems with unknown operators"

7 / 7 papers shown
Title
An operator learning perspective on parameter-to-observable maps
An operator learning perspective on parameter-to-observable maps
Daniel Zhengyu Huang
Nicholas H. Nelsen
Margaret Trautner
67
12
0
08 Feb 2024
Mixed Laplace approximation for marginal posterior and Bayesian
  inference in error-in-operator model
Mixed Laplace approximation for marginal posterior and Bayesian inference in error-in-operator model
V. Spokoiny
64
3
0
16 May 2023
Convergence Rates for Learning Linear Operators from Noisy Data
Convergence Rates for Learning Linear Operators from Noisy Data
Maarten V. de Hoop
Nikola B. Kovachki
Nicholas H. Nelsen
Andrew M. Stuart
182
58
0
27 Aug 2021
Deep learning for inverse problems with unknown operator
Deep learning for inverse problems with unknown operator
Miguel del Alamo
62
1
0
05 Aug 2021
Bayesian inference for nonlinear inverse problems
Bayesian inference for nonlinear inverse problems
V. Spokoiny
45
6
0
29 Dec 2019
Posterior contraction for empirical Bayesian approach to inverse
  problems under non-diagonal assumption
Posterior contraction for empirical Bayesian approach to inverse problems under non-diagonal assumption
Junxiong Jia
Jigen Peng
Jinghuai Gao
51
7
0
04 Oct 2018
Bayesian linear inverse problems in regularity scales
Bayesian linear inverse problems in regularity scales
S. Gugushvili
A. van der Vaart
D. Yan
50
18
0
25 Feb 2018
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