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Probabilistic approach to limited-data computed tomography
  reconstruction
v1v2v3 (latest)

Probabilistic approach to limited-data computed tomography reconstruction

11 September 2018
Z. Purisha
Carl Jidling
Niklas Wahlström
Simo Särkkä
Thomas B. Schon
ArXiv (abs)PDFHTML

Papers citing "Probabilistic approach to limited-data computed tomography reconstruction"

6 / 6 papers shown
Title
Disintegration of Gaussian Measures for Sequential Assimilation of
  Linear Operator Data
Disintegration of Gaussian Measures for Sequential Assimilation of Linear Operator Data
Cédric Travelletti
D. Ginsbourger
67
6
0
27 Jul 2022
Stochastic Processes Under Linear Differential Constraints : Application
  to Gaussian Process Regression for the 3 Dimensional Free Space Wave Equation
Stochastic Processes Under Linear Differential Constraints : Application to Gaussian Process Regression for the 3 Dimensional Free Space Wave Equation
Iain Henderson
P. Noble
O. Roustant
47
1
0
23 Nov 2021
Simultaneous Reconstruction and Uncertainty Quantification for
  Tomography
Simultaneous Reconstruction and Uncertainty Quantification for Tomography
Agnimitra Dasgupta
Carlo Graziani
Z. Di
25
0
0
29 Mar 2021
Using Distance Correlation for Efficient Bayesian Optimization
Using Distance Correlation for Efficient Bayesian Optimization
T. Kanazawa
66
3
0
17 Feb 2021
Non-Stationary Multi-layered Gaussian Priors for Bayesian Inversion
Non-Stationary Multi-layered Gaussian Priors for Bayesian Inversion
M. Emzir
Sari Lasanen
Z. Purisha
L. Roininen
Simo Särkkä
78
9
0
28 Jun 2020
Deep kernel learning for integral measurements
Deep kernel learning for integral measurements
Carl Jidling
J. Hendriks
Thomas B. Schon
A. Wills
62
7
0
04 Sep 2019
1