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ORCIDTatiana A. Bubba
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Journal Articles
- 2023
[j3]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: 115206 (2023)- 2021
- [j2]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): 470-505 (2021) - 2018
- [j1]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: 131-152 (2018)
Conference and Workshop Papers
- 2021
- [c1]Tatiana A. Bubba, Tommi Heikkilä, Samuli Siltanen:
4D Dual-Tree Complex Wavelets for Time-Dependent Data. ICCSA (Workshops) 2021: 146-156
Informal and Other Publications
- 2024
- [i8]Tatiana A. Bubba, Tommi Heikkilä, Demetrio Labate, Luca Ratti:
Regularization with optimal space-time priors. CoRR abs/2405.06337 (2024) - 2023
- [i7]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 abs/2302.10056 (2023) - [i6]Martin Benning, Tatiana A. Bubba, Luca Ratti, Danilo Riccio:
Trust your source: quantifying source condition elements for variational regularisation methods. CoRR abs/2303.00696 (2023) - 2021
- [i5]Tatiana A. Bubba, Martin Burger, Tapio Helin, Luca Ratti:
Convex regularization in statistical inverse learning problems. CoRR abs/2102.09526 (2021) - [i4]Tatiana A. Bubba, Tommi Heikkilä, Samuli Siltanen:
4D Dual-Tree Complex Wavelets for Time-Dependent Data. CoRR abs/2103.15674 (2021) - 2020
- [i3]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 abs/2002.12343 (2020) - [i2]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 abs/2006.01620 (2020) - 2018
- [i1]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 abs/1811.04602 (2018)
Coauthor Index
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