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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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02/14/2023
Sparse Bayesian Inference with Regularized Gaussian Distributions
Regularization is a common tool in variational inverse problems to impos...
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09/26/2022
Bayesian Inference with Projected Densities
Constraints are a natural choice for prior information in Bayesian infer...
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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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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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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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01/30/2021
A fast method for simultaneous reconstruction and segmentation in X-ray CT application
In this paper, we propose a fast method for simultaneous reconstruction ...
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08/23/2017