Luca Ratti

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Tomographic Reconstruction

Statistical Learning Theory

Inverse Problems

Sparsity Regularization

Top Venues

SIAM J. Imaging Sci.

Publications

Damiana Lazzaro, Serena Morigi, Luca Ratti
Oracle-Net for nonlinear compressed sensing in Electrical Impedance Tomography reconstruction problems. CoRR (2024)
Giovanni S. Alberti, Luca Ratti, Matteo Santacesaria, Silvia Sciutto
Learning a Gaussian Mixture for Sparsity Regularization in Inverse Problems. CoRR (2024)
Tatiana A. Bubba, Tommi Heikkilä, Demetrio Labate, Luca Ratti
Regularization with optimal space-time priors. CoRR (2024)
Luca Ratti
Learned reconstruction methods for inverse problems: sample error estimates. CoRR (2023)
Martin Benning, Tatiana A. Bubba, Luca Ratti, Danilo Riccio
Trust your source: quantifying source condition elements for variational regularisation methods. CoRR (2023)
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 (2022)
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)
Giovanni S. Alberti, Ernesto De Vito, Matti Lassas, Luca Ratti, Matteo Santacesaria
Learning the optimal Tikhonov regularizer for inverse problems. NeurIPS (2021)
Giovanni S. Alberti, Ernesto De Vito, Matti Lassas, Luca Ratti, Matteo Santacesaria
Learning the optimal regularizer for inverse problems. CoRR (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)
Elena Beretta, Cecilia Cavaterra, Luca Ratti
On the determination of ischemic regions in the monodomain model of cardiac electrophysiology from boundary measurements. CoRR (2019)