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06/28/2023
Spatiotemporal Besov Priors for Bayesian Inverse Problems
Fast development in science and technology has driven the need for prope...
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04/22/2022
Bayesian Spatiotemporal Modeling for Inverse Problems
Inverse problems with spatiotemporal observations are ubiquitous in scie...
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01/24/2022
The Image Deblurring Problem: Matrices, Wavelets, and Multilevel Methods
The image deblurring problem consists of reconstructing images from blur...
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10/08/2021
Randomized algorithms for rounding in the Tensor-Train format
The Tensor-Train (TT) format is a highly compact low-rank representation...
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10/06/2021
Efficient learning methods for large-scale optimal inversion design
In this work, we investigate various approaches that use learning from t...
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07/12/2021
Efficient edge-preserving methods for dynamic inverse problems
We consider efficient methods for computing solutions to dynamic inverse...
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05/29/2021