Luca Ratti

According to our database, Luca Ratti authored at least 14 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

Learning Sparsity-Promoting Regularizers for Linear Inverse Problems.

Giovanni S. Alberti, Ernesto De Vito, Tapio Helin, Matti Lassas, Luca Ratti, Matteo Santacesaria

SIAM J. Math. Data Sci., 2026

2025

Deep Unfolding Network for Nonlinear Multi-Frequency Electrical Impedance Tomography.

Giovanni S. Alberti, Damiana Lazzaro, Serena Morigi, Luca Ratti, Matteo Santacesaria

CoRR, July, 2025

Revisiting ΨDONet: microlocally inspired filters for incomplete-data tomographic reconstructions.

Tatiana A. Bubba, Luca Ratti, Andrea Sebastiani

CoRR, January, 2025

Regularization with Optimal Space-Time Priors.

Tatiana A. Bubba, Tommi Heikkilä, Demetrio Labate, Luca Ratti

SIAM J. Imaging Sci., 2025

2024

Oracle-Net for Nonlinear Compressed Sensing in Electrical Impedance Tomography Reconstruction Problems.

Damiana Lazzaro, Serena Morigi, Luca Ratti

J. Sci. Comput., November, 2024

Learning a Gaussian Mixture for Sparsity Regularization in Inverse Problems.

Giovanni S. Alberti, Luca Ratti, Matteo Santacesaria, Silvia Sciutto

CoRR, 2024

2023

Learned reconstruction methods for inverse problems: sample error estimates.

Luca Ratti

CoRR, 2023

Trust your source: quantifying source condition elements for variational regularisation methods.

Martin Benning, Tatiana A. Bubba, Luca Ratti, Danilo Riccio

CoRR, 2023

2022

On a fixed-point continuation method for a convex optimization problem.

Jean-Baptiste Fest, Tommi Heikkilä, Ignace Loris, Ségolène Martin, Luca Ratti, Simone Rebegoldi, Gesa Sarnighausen

CoRR, 2022

2021

Deep Neural Networks for Inverse Problems with Pseudodifferential Operators: An Application to Limited-Angle Tomography.

Tatiana A. Bubba, Mathilde Galinier, Matti Lassas, Marco Prato, Luca Ratti, Samuli Siltanen

SIAM J. Imaging Sci., 2021

Learning the optimal regularizer for inverse problems.

Giovanni S. Alberti, Ernesto De Vito, Matti Lassas, Luca Ratti, Matteo Santacesaria

CoRR, 2021

Convex regularization in statistical inverse learning problems.

Tatiana A. Bubba, Martin Burger, Tapio Helin, Luca Ratti

CoRR, 2021

Learning the optimal Tikhonov regularizer for inverse problems.

Giovanni S. Alberti, Ernesto De Vito, Matti Lassas, Luca Ratti, Matteo Santacesaria

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

On the determination of ischemic regions in the monodomain model of cardiac electrophysiology from boundary measurements.

Elena Beretta, Cecilia Cavaterra, Luca Ratti

CoRR, 2019