Learning the optimal Tikhonov regularizer for inverse problems GS Alberti, E De Vito, M Lassas, L Ratti, M Santacesaria Advances in Neural Information Processing Systems 34, 25205-25216, 2021 | 34 | 2021 |
Deep neural networks for inverse problems with pseudodifferential operators: An application to limited-angle tomography TA Bubba, M Galinier, M Lassas, M Prato, L Ratti, S Siltanen Society for Industrial and Applied Mathematics 14 (2), 470-505, 2021 | 25 | 2021 |
A reconstruction algorithm based on topological gradient for an inverse problem related to a semilinear elliptic boundary value problem E Beretta, A Manzoni, L Ratti Inverse Problems 33 (3), 035010, 2017 | 22 | 2017 |
Detection of conductivity inclusions in a semilinear elliptic problem arising from cardiac electrophysiology E Beretta, L Ratti, M Verani Communications in Mathematical Sciences 16, 1975-2002, 2018 | 15* | 2018 |
An inverse problem for a semilinear parabolic equation arising from cardiac electrophysiology E Beretta, C Cavaterra, MC Cerutti, A Manzoni, L Ratti Inverse Problems 33 (10), 105008, 2017 | 13 | 2017 |
A posteriori error estimates for the monodomain model in cardiac electrophysiology L Ratti, M Verani Calcolo 56 (3), 33, 2019 | 8 | 2019 |
Convex regularization in statistical inverse learning problems TA Bubba, M Burger, T Helin, L Ratti arXiv preprint arXiv:2102.09526, 2021 | 5 | 2021 |
Shearlet-based regularization in statistical inverse learning with an application to x-ray tomography TA Bubba, L Ratti Inverse Problems 38 (5), 054001, 2022 | 4 | 2022 |
On the determination of ischemic regions in the monodomain model of cardiac electrophysiology from boundary measurements E Beretta, C Cavaterra, L Ratti Nonlinearity 33 (11), 5659, 2020 | 4 | 2020 |
On the reconstruction of cavities in a nonlinear model arising from cardiac electrophysiology E Beretta, MC Cerutti, D Pierotti, L Ratti ESAIM: Control, Optimisation and Calculus of Variations 29, 36, 2023 | 3 | 2023 |
On the determination of discontinuous coefficients in semilinear elliptic and parabolic boundary value problems arising in cardiac electrophysiology L Ratti Politecnico di Milano, Italy, 2019 | 2 | 2019 |
Trust your source: quantifying source condition elements for variational regularisation methods M Benning, TA Bubba, L Ratti, D Riccio IMA Journal of Applied Mathematics, hxae008, 2024 | 1 | 2024 |
Regularization with optimal space-time priors TA Bubba, T Heikkilä, D Labate, L Ratti arXiv preprint arXiv:2405.06337, 2024 | | 2024 |
Oracle-Net for nonlinear compressed sensing in Electrical Impedance Tomography reconstruction problems D Lazzaro, S Morigi, L Ratti arXiv preprint arXiv:2404.06342, 2024 | | 2024 |
Learning a Gaussian Mixture for Sparsity Regularization in Inverse Problems GS Alberti, L Ratti, M Santacesaria, S Sciutto arXiv preprint arXiv:2401.16612, 2024 | | 2024 |
Learned reconstruction methods for inverse problems: sample error estimates L Ratti arXiv preprint arXiv:2312.14078, 2023 | | 2023 |
On a fixed-point continuation method for a convex optimization problem JB Fest, T Heikkilä, I Loris, S Martin, L Ratti, S Rebegoldi, G Sarnighausen arXiv preprint arXiv:2212.12256, 2022 | | 2022 |
Lipschitz stable determination of small conductivity inclusions in a semilinear equation from boundary data E Beretta, MC Cerutti, L Ratti Mathematics in Engineering 3 (1), 1, 2020 | | 2020 |
Un algoritmo di ricostruzione per la soluzione di un problema inverso al contorno per un'equazione ellittica semilineare L Ratti Politecnico di Milano, Italy, 2015 | | 2015 |
Advanced Programming for Scientific Computing L Ratti, N Parolini, M Verani | | 2015 |