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Journal Articles
- 2024
[j2]Damiana Lazzaro
, Serena Morigi, Luca Ratti:
Oracle-Net for Nonlinear Compressed Sensing in Electrical Impedance Tomography Reconstruction Problems. J. Sci. Comput. 101(2): 49 (2024)- 2021
- [j1]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)
Conference and Workshop Papers
- 2021
- [c1]Giovanni S. Alberti, Ernesto De Vito, Matti Lassas, Luca Ratti, Matteo Santacesaria:
Learning the optimal Tikhonov regularizer for inverse problems. NeurIPS 2021: 25205-25216
Informal and Other Publications
- 2024
- [i10]Giovanni S. Alberti, Luca Ratti, Matteo Santacesaria, Silvia Sciutto:
Learning a Gaussian Mixture for Sparsity Regularization in Inverse Problems. CoRR abs/2401.16612 (2024) - [i9]Damiana Lazzaro, Serena Morigi, Luca Ratti:
Oracle-Net for nonlinear compressed sensing in Electrical Impedance Tomography reconstruction problems. CoRR abs/2404.06342 (2024) - [i8]Tatiana A. Bubba, Tommi Heikkilä, Demetrio Labate, Luca Ratti:
Regularization with optimal space-time priors. CoRR abs/2405.06337 (2024) - 2023
- [i7]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) - [i6]Luca Ratti:
Learned reconstruction methods for inverse problems: sample error estimates. CoRR abs/2312.14078 (2023) - 2022
- [i5]Jean-Baptiste Fest, Tommi Heikkilä, Ignace Loris, Ségolène Martin, Luca Ratti, Simone Rebegoldi, Gesa Sarnighausen:
On a fixed-point continuation method for a convex optimization problem. CoRR abs/2212.12256 (2022) - 2021
- [i4]Tatiana A. Bubba, Martin Burger, Tapio Helin, Luca Ratti:
Convex regularization in statistical inverse learning problems. CoRR abs/2102.09526 (2021) - [i3]Giovanni S. Alberti, Ernesto De Vito, Matti Lassas, Luca Ratti, Matteo Santacesaria:
Learning the optimal regularizer for inverse problems. CoRR abs/2106.06513 (2021) - 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) - 2019
- [i1]Elena Beretta, Cecilia Cavaterra, Luca Ratti:
On the determination of ischemic regions in the monodomain model of cardiac electrophysiology from boundary measurements. CoRR abs/1906.06760 (2019)
Coauthor Index
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