Luca Ratti

18 papers A* 1Journal 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning Sparsity-Promoting Regularizers for Linear Inverse Problems.
SIAM J. Math. Data Sci.
Giovanni S. Alberti, Ernesto De Vito, Tapio Helin, Matti Lassas, Luca Ratti, Matteo Santacesaria
2025 J jnl
Deep Unfolding Network for Nonlinear Multi-Frequency Electrical Impedance Tomography.
CoRR
Giovanni S. Alberti, Damiana Lazzaro, Serena Morigi, Luca Ratti, Matteo Santacesaria
2025 J jnl
Regularization with Optimal Space-Time Priors.
SIAM J. Imaging Sci.
Tatiana A. Bubba, Tommi Heikkilä, Demetrio Labate, Luca Ratti
2025 J jnl
Revisiting ΨDONet: microlocally inspired filters for incomplete-data tomographic reconstructions.
CoRR
Tatiana A. Bubba, Luca Ratti, Andrea Sebastiani
2024 J jnl
Learning a Gaussian Mixture for Sparsity Regularization in Inverse Problems.
CoRR
Giovanni S. Alberti, Luca Ratti, Matteo Santacesaria, Silvia Sciutto
2024 J jnl
Learning sparsity-promoting regularizers for linear inverse problems.
CoRR
Giovanni S. Alberti, Ernesto De Vito, Tapio Helin, Matti Lassas, Luca Ratti, Matteo Santacesaria
2024 J jnl
Oracle-Net for Nonlinear Compressed Sensing in Electrical Impedance Tomography Reconstruction Problems.
J. Sci. Comput.
Damiana Lazzaro, Serena Morigi, Luca Ratti
2024 J jnl
Oracle-Net for nonlinear compressed sensing in Electrical Impedance Tomography reconstruction problems.
CoRR
Damiana Lazzaro, Serena Morigi, Luca Ratti
2024 J jnl
Regularization with optimal space-time priors.
CoRR
Tatiana A. Bubba, Tommi Heikkilä, Demetrio Labate, Luca Ratti
2023 J jnl
Learned reconstruction methods for inverse problems: sample error estimates.
CoRR
Luca Ratti
2023 J jnl
Trust your source: quantifying source condition elements for variational regularisation methods.
CoRR
Martin Benning, Tatiana A. Bubba, Luca Ratti, Danilo Riccio
2022 J jnl
On a fixed-point continuation method for a convex optimization problem.
CoRR
Jean-Baptiste Fest, Tommi Heikkilä, Ignace Loris, Ségolène Martin, Luca Ratti, Simone Rebegoldi, Gesa Sarnighausen
2021 J jnl
Convex regularization in statistical inverse learning problems.
CoRR
Tatiana A. Bubba, Martin Burger, Tapio Helin, Luca Ratti
2021 J jnl
Deep Neural Networks for Inverse Problems with Pseudodifferential Operators: An Application to Limited-Angle Tomography.
SIAM J. Imaging Sci.
Tatiana A. Bubba, Mathilde Galinier, Matti Lassas, Marco Prato, Luca Ratti, Samuli Siltanen
2021 A* conf
Learning the optimal Tikhonov regularizer for inverse problems.
NeurIPS
Giovanni S. Alberti, Ernesto De Vito, Matti Lassas, Luca Ratti, Matteo Santacesaria
2021 J jnl
Learning the optimal regularizer for inverse problems.
CoRR
Giovanni S. Alberti, Ernesto De Vito, Matti Lassas, Luca Ratti, Matteo Santacesaria
2020 J jnl
Deep neural networks for inverse problems with pseudodifferential operators: an application to limited-angle tomography.
CoRR
Tatiana A. Bubba, Mathilde Galinier, Matti Lassas, Marco Prato, Luca Ratti, Samuli Siltanen
2019 J jnl
On the determination of ischemic regions in the monodomain model of cardiac electrophysiology from boundary measurements.
CoRR
Elena Beretta, Cecilia Cavaterra, Luca Ratti