| 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 | 27 | 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 | 22 | 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 | 21 | 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 | 16* | 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 | 6 | 2019 |
| Convex regularization in statistical inverse learning problems TA Bubba, M Burger, T Helin, L Ratti arXiv preprint arXiv:2102.09526, 2021 | 5 | 2021 |
| 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 |
| Shearlet-based regularization in statistical inverse learning with an application to x-ray tomography TA Bubba, L Ratti Inverse Problems 38 (5), 054001, 2022 | 3 | 2022 |
| 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 arXiv preprint arXiv:2303.00696, 2023 | 1 | 2023 |
| 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 |
Matti LassasProfessor of applied mathematics, University of Helsinki, FinlandVerified email at helsinki.fi
