Tatiana A. Bubba

Orcid: 0000-0003-0020-9210

According to our database1, Tatiana A. Bubba authored at least 10 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Regularization with optimal space-time priors.
CoRR, 2024

2023
Efficient representation of spatio-temporal data using cylindrical shearlets.
J. Comput. Appl. Math., 2023

Trust your source: quantifying source condition elements for variational regularisation methods.
CoRR, 2023

Bilevel learning of regularization models and their discretization for image deblurring and super-resolution.
CoRR, 2023

2021
Deep Neural Networks for Inverse Problems with Pseudodifferential Operators: An Application to Limited-Angle Tomography.
SIAM J. Imaging Sci., 2021

Convex regularization in statistical inverse learning problems.
CoRR, 2021

4D Dual-Tree Complex Wavelets for Time-Dependent Data.
Proceedings of the 2021 21st International Conference on Computational Science and Its Applications (ICCSA), Cagliari, Italy, September 13-16, 2021, 2021

2020
Sparse dynamic tomography. A shearlet-based approach for iodine perfusion in plant stems.
CoRR, 2020

2018
Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography.
CoRR, 2018

A nonsmooth regularization approach based on shearlets for Poisson noise removal in ROI tomography.
Appl. Math. Comput., 2018


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