| Loss factorization, weakly supervised learning and label noise robustness G Patrini, F Nielsen, R Nock, M Carioni International conference on machine learning, 708-717, 2016 | 148 | 2016 |
| Sinkhorn autoencoders G Patrini, R Van den Berg, P Forre, M Carioni, S Bhargav, M Welling, ... Uncertainty in Artificial Intelligence, 733-743, 2020 | 142 | 2020 |
| Sparsity of solutions for variational inverse problems with finite-dimensional data K Bredies, M Carioni Calculus of Variations and Partial Differential Equations 59 (1), 14, 2020 | 115 | 2020 |
| End-to-end reconstruction meets data-driven regularization for inverse problems S Mukherjee, M Carioni, O Öktem, CB Schönlieb Advances in Neural Information Processing Systems 34, 21413-21425, 2021 | 55 | 2021 |
| A generalized conditional gradient method for dynamic inverse problems with optimal transport regularization K Bredies, M Carioni, S Fanzon, F Romero Foundations of Computational Mathematics 23 (3), 833-898, 2023 | 42 | 2023 |
| On the extremal points of the ball of the Benamou–Brenier energy K Bredies, M Carioni, S Fanzon, F Romero Bulletin of the London Mathematical Society 53 (5), 1436-1452, 2021 | 30 | 2021 |
| Asymptotic linear convergence of fully-corrective generalized conditional gradient methods K Bredies, M Carioni, S Fanzon, D Walter Mathematical programming 205 (1), 135-202, 2024 | 28* | 2024 |
| Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI S Saitta, M Carioni, S Mukherjee, CB Schönlieb, A Redaelli Computer methods and programs in biomedicine 246, 108057, 2024 | 27 | 2024 |
| A superposition principle for the inhomogeneous continuity equation with Hellinger–Kantorovich-regular coefficients K Bredies, M Carioni, S Fanzon Communications in Partial Differential Equations 47 (10), 2023-2069, 2022 | 21 | 2022 |
| Extremal points and sparse optimization for generalized Kantorovich–Rubinstein norms M Carioni, JA Iglesias, D Walter Foundations of Computational Mathematics 25 (1), 103-144, 2025 | 13 | 2025 |
| Calibrations for minimal networks in a covering space setting M Carioni, A Pluda ESAIM: Control, Optimisation and Calculus of Variations 26, 40, 2020 | 11 | 2020 |
| On different notions of calibrations for minimal partitions and minimal networks in ℝ2 M Carioni, A Pluda Advances in Calculus of Variations 14 (3), 401-417, 2021 | 10 | 2021 |
| Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imaging M Carioni, S Mukherjee, HY Tan, J Tang Data-driven Models in Inverse Problems, 2024 | 7 | 2024 |
| A general theory for exact sparse representation recovery in convex optimization M Carioni, L Del Grande arXiv preprint arXiv:2311.08072, 2023 | 5 | 2023 |
| Regularization graphs—a unified framework for variational regularization of inverse problems K Bredies, M Carioni, M Holler Inverse Problems 38 (10), 105006, 2022 | 5 | 2022 |
| A sparse optimization approach to infinite infimal convolution regularization K Bredies, M Carioni, M Holler, Y Korolev, CB Schönlieb Numerische Mathematik 157 (1), 41-96, 2025 | 4 | 2025 |
| CAFLOW: conditional autoregressive flows G Batzolis, M Carioni, C Etmann, S Afyouni, Z Kourtzi, CB Schönlieb arXiv preprint arXiv:2106.02531, 2021 | 3 | 2021 |
| The oriented mailing problem and its convex relaxation M Carioni, A Marchese, A Massaccesi, A Pluda, R Tione Nonlinear Analysis 199, 112035, 2020 | 3 | 2020 |
| A Lipschitz spaces view of infinitely wide shallow neural networks F Bartolucci, M Carioni, JA Iglesias, Y Korolev, E Naldi, S Vigogna arXiv preprint arXiv:2410.14591, 2024 | 2 | 2024 |
| Perturbation-Aware Distributionally Robust Optimization for Inverse Problems F van Maarschalkerwaart, S Mukherjee, MS Landman, C Brune, ... International Conference on Scale Space and Variational Methods in Computer …, 2025 | 1 | 2025 |
Kristian BrediesUniversity of GrazVerified email at uni-graz.at
