On the determination of ischemic regions in the monodomain model of cardiac electrophysiology from boundary measurements. - Elena Beretta; Cecilia Cavaterra; Luca Ratti (CoRR, 2019)

Learning the optimal Tikhonov regularizer for inverse problems. - Giovanni S. Alberti; Ernesto De Vito; Matti Lassas; Luca Ratti; Matteo Santacesaria (NeurIPS, 2021)

Convex regularization in statistical inverse learning problems. - Tatiana A. Bubba; Martin Burger 001; Tapio Helin; Luca Ratti (CoRR, 2021)

Learning the optimal regularizer for inverse problems. - Giovanni S. Alberti; Ernesto De Vito; Matti Lassas; Luca Ratti; Matteo Santacesaria (CoRR, 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)

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)

Trust your source: quantifying source condition elements for variational regularisation methods. - Martin Benning; Tatiana A. Bubba; Luca Ratti; Danilo Riccio (CoRR, 2023)

Learned reconstruction methods for inverse problems: sample error estimates. - Luca Ratti (CoRR, 2023)

Learning a Gaussian Mixture for Sparsity Regularization in Inverse Problems. - Giovanni S. Alberti; Luca Ratti; Matteo Santacesaria; Silvia Sciutto (CoRR, 2024)

Learning sparsity-promoting regularizers for linear inverse problems. - Giovanni S. Alberti; Ernesto De Vito; Tapio Helin; Matti Lassas; Luca Ratti; Matteo Santacesaria (CoRR, 2024)

Oracle-Net for Nonlinear Compressed Sensing in Electrical Impedance Tomography Reconstruction Problems. - Damiana Lazzaro; Serena Morigi; Luca Ratti (J. Sci. Comput., 2024)

Regularization with Optimal Space-Time Priors. - Tatiana A. Bubba; Tommi Heikkilä; Demetrio Labate; Luca Ratti (SIAM J. Imaging Sci., 2025)

Revisiting ΨDONet: microlocally inspired filters for incomplete-data tomographic reconstructions. - Tatiana A. Bubba; Luca Ratti; Andrea Sebastiani (CoRR, 2025)

Deep Unfolding Network for Nonlinear Multi-Frequency Electrical Impedance Tomography. - Giovanni S. Alberti; Damiana Lazzaro; Serena Morigi; Luca Ratti; Matteo Santacesaria (CoRR, 2025)