| A Levenberg–Marquardt method for large nonlinear least-squares problems with dynamic accuracy in functions and gradients S Bellavia, S Gratton, E Riccietti Numerische Mathematik 140 (3), 791-825, 2018 | 77 | 2018 |
| Efficient identification of butterfly sparse matrix factorizations L Zheng, E Riccietti, R Gribonval SIAM Journal on Mathematics of Data Science 5 (1), 22-49, 2023 | 18 | 2023 |
| On high-order multilevel optimization strategies H Calandra, S Gratton, E Riccietti, X Vasseur SIAM Journal on Optimization 31 (1), 307-330, 2021 | 18 | 2021 |
| Sequential linear programming and particle swarm optimization for the optimization of energy districts E Riccietti, S Bellavia, S Sello Engineering Optimization 51 (1), 84-100, 2019 | 18 | 2019 |
| Fast learning of fast transforms, with guarantees QT Le, L Zheng, E Riccietti, R Gribonval ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 17 | 2022 |
| On a multilevel Levenberg–Marquardt method for the training of artificial neural networks and its application to the solution of partial differential equations H Calandra, S Gratton, E Riccietti, X Vasseur Optimization Methods and Software 37 (1), 361-386, 2022 | 14* | 2022 |
| Support vector machine classification applied to the parametric design of centrifugal pumps E Riccietti, J Bellucci, M Checcucci, M Marconcini, A Arnone Engineering Optimization 50 (8), 1304-1324, 2018 | 10 | 2018 |
| On an adaptive regularization for ill-posed nonlinear systems and its trust-region implementation S Bellavia, B Morini, E Riccietti Computational Optimization and Applications 64, 1-30, 2016 | 10 | 2016 |
| On an elliptical trust-region procedure for ill-posed nonlinear least-squares problems S Bellavia, E Riccietti Journal of Optimization Theory and Applications 178, 824-859, 2018 | 9 | 2018 |
| Spurious valleys, np-hardness, and tractability of sparse matrix factorization with fixed support QT Le, E Riccietti, R Gribonval SIAM Journal on Matrix Analysis and Applications 44 (2), 503-529, 2023 | 8 | 2023 |
| Identifiability in two-layer sparse matrix factorization L Zheng, E Riccietti, R Gribonval arXiv preprint arXiv:2110.01235, 2021 | 8* | 2021 |
| Worst-case complexity bounds of directional direct-search methods for multiobjective optimization AL Custódio, Y Diouane, R Garmanjani, E Riccietti Journal of Optimization Theory and Applications 188 (1), 73-93, 2021 | 8 | 2021 |
| Self-supervised learning with rotation-invariant kernels L Zheng, G Puy, E Riccietti, P Pérez, R Gribonval arXiv preprint arXiv:2208.00789, 2022 | 6 | 2022 |
| Approximation speed of quantized versus unquantized relu neural networks and beyond A Gonon, N Brisebarre, R Gribonval, E Riccietti IEEE Transactions on Information Theory 69 (6), 3960-3977, 2023 | 5 | 2023 |
| Does a sparse ReLU network training problem always admit an optimum? T LE, R Gribonval, E Riccietti Advances in Neural Information Processing Systems 36, 65265-65298, 2023 | 4 | 2023 |
| Multilevel FISTA for image restoration G Lauga, E Riccietti, N Pustelnik, P Gonçalves ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
| Hierarchical identifiability in multi-layer sparse matrix factorization L Zheng, E Riccietti, R Gribonval | 4 | 2021 |
| A path-norm toolkit for modern networks: consequences, promises and challenges A Gonon, N Brisebarre, E Riccietti, R Gribonval arXiv preprint arXiv:2310.01225, 2023 | 3 | 2023 |
| Butterfly factorization by algorithmic identification of rank-one blocks L Zheng, G Puy, E Riccietti, P Pérez, R Gribonval arXiv preprint arXiv:2307.00820, 2023 | 3 | 2023 |
| Optimal quantization of rank-one matrices in floating-point arithmetic---with applications to butterfly factorizations R Gribonval, T Mary, E Riccietti | 3 | 2023 |
