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05/26/2023
CUQIpy – Part II: computational uncertainty quantification for PDE-based inverse problems in Python
Inverse problems, particularly those governed by Partial Differential Eq...
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05/26/2023
CUQIpy – Part I: computational uncertainty quantification for inverse problems in Python
This paper introduces CUQIpy, a versatile open-source Python package for...
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05/08/2023
Inferring Features with Uncertain Roughness
This work describes a Bayesian framework for reconstructing functions th...
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07/19/2022
Horseshoe priors for edge-preserving linear Bayesian inversion
In many large-scale inverse problems, such as computed tomography and im...
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10/04/2021
GMRES Methods for Tomographic Reconstruction with an Unmatched Back Projector
Unmatched pairs of forward and back projectors are common in X-ray CT co...
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07/14/2021
Uncertainty Quantification of Inclusion Boundaries in the Context of X-ray Tomography
In this work, we describe a Bayesian framework for the X-ray computed to...
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06/18/2021
Stopping Rules for Algebraic Iterative Reconstruction Methods in Computed Tomography
Algebraic models for the reconstruction problem in X-ray computed tomogr...
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04/14/2021
A hybrid Gibbs sampler for edge-preserving tomographic reconstruction with uncertain view angles
In computed tomography, data consist of measurements of the attenuation ...
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06/18/2019
A twin error gauge for Kaczmarz's iterations
We propose two new methods based on Kaczmarz's method that produce a reg...
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06/08/2015
A Tensor-Based Dictionary Learning Approach to Tomographic Image Reconstruction
We consider tomographic reconstruction using priors in the form of a dic...
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03/06/2015
