Tatiana A. Bubba

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Topics

Image Deblurring

Inverse Problems

Top Venues

ICCSA (Workshops)

J. Comput. Appl. Math.

SIAM J. Imaging Sci.

Publications

Tatiana A. Bubba, Tommi Heikkilä, Demetrio Labate, Luca Ratti
Regularization with optimal space-time priors. CoRR (2024)
Tatiana A. Bubba, Luca Calatroni, Ambra Catozzi, Serena Crisci, Thomas Pock, Monica Pragliola, Siiri Rautio, Danilo Riccio, Andrea Sebastiani
Bilevel learning of regularization models and their discretization for image deblurring and super-resolution. CoRR (2023)
Tatiana A. Bubba, Glenn R. Easley, Tommi Heikkilä, Demetrio Labate, Jose P. Rodriguez Ayllon
Efficient representation of spatio-temporal data using cylindrical shearlets. J. Comput. Appl. Math. 429 (2023)
Martin Benning, Tatiana A. Bubba, Luca Ratti, Danilo Riccio
Trust your source: quantifying source condition elements for variational regularisation methods. CoRR (2023)
Tatiana A. Bubba, Mathilde Galinier, Matti Lassas, Marco Prato, Luca Ratti, Samuli Siltanen
Deep Neural Networks for Inverse Problems with Pseudodifferential Operators: An Application to Limited-Angle Tomography. SIAM J. Imaging Sci. 14 (2) (2021)
Tatiana A. Bubba, Martin Burger, Tapio Helin, Luca Ratti
Convex regularization in statistical inverse learning problems. CoRR (2021)
Tatiana A. Bubba, Tommi Heikkilä, Samuli Siltanen
4D Dual-Tree Complex Wavelets for Time-Dependent Data. CoRR (2021)
Tatiana A. Bubba, Tommi Heikkilä, Samuli Siltanen
4D Dual-Tree Complex Wavelets for Time-Dependent Data. ICCSA (Workshops) (2021)
Tatiana A. Bubba, Mathilde Galinier, Matti Lassas, Marco Prato, Luca Ratti, Samuli Siltanen
Deep neural networks for inverse problems with pseudodifferential operators: an application to limited-angle tomography. CoRR (2020)
Tatiana A. Bubba, Tommi Heikkilä, Hanna Help, Simo Huotari, Yann Salmon, Samuli Siltanen
Sparse dynamic tomography. A shearlet-based approach for iodine perfusion in plant stems. CoRR (2020)
Tatiana A. Bubba, Gitta Kutyniok, Matti Lassas, Maximilian März, Wojciech Samek, Samuli Siltanen, Vignesh Srinivasan
Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography. CoRR (2018)
Tatiana A. Bubba, Federica Porta, Gaetano Zanghirati, Silvia Bonettini
A nonsmooth regularization approach based on shearlets for Poisson noise removal in ROI tomography. Appl. Math. Comput. 318 (2018)