Deep Learning approximation of diffeomorphisms via linear-control systems A Scagliotti Mathematical Control and Related Fields 13 (3), 2023 | 12 | 2023 |
Optimal control of ensembles of dynamical systems A Scagliotti ESAIM: Control, Optimisation and Calculus of Variations 29, 22, 2023 | 11 | 2023 |
A gradient flow equation for optimal control problems with end-point cost A Scagliotti Journal of Dynamical and Control Systems 29 (2), 521-568, 2023 | 9 | 2023 |
From NeurODEs to AutoencODEs: a mean-field control framework for width-varying neural networks C Cipriani, M Fornasier, A Scagliotti European Journal of Applied Mathematics, 1-43, 2024 | 3 | 2024 |
A piecewise conservative method for unconstrained convex optimization A Scagliotti, P Colli Franzone Computational Optimization and Applications 81 (1), 251-288, 2022 | 3 | 2022 |
Equilibrium measure for a nonlocal dislocation energy with physical confinement MG Mora, A Scagliotti Advances in Calculus of Variations 15 (4), 929-938, 2022 | 2 | 2022 |
Losing momentum in continuous-time stochastic optimisation K Jin, J Latz, C Liu, A Scagliotti arXiv preprint arXiv:2209.03705, 2022 | 2 | 2022 |
A minimax optimal control approach for robust neural ODEs C Cipriani, A Scagliotti, T Wöhrer 2024 European Control Conference (ECC), 58-64, 2024 | 1 | 2024 |
Normalizing flows as approximations of optimal transport maps via linear-control neural ODEs A Scagliotti, S Farinelli arXiv preprint arXiv:2311.01404, 2023 | 1 | 2023 |
Minimax problems for ensembles of control-affine systems A Scagliotti arXiv preprint arXiv:2405.05782, 2024 | | 2024 |
Shortest-path recovery from signature with an optimal control approach M Rauscher, A Scagliotti, F Pagginelli arXiv preprint arXiv:2310.10619, 2023 | | 2023 |
A subgradient method with constant step-size for -composite optimization A Scagliotti, PC Franzone Bollettino dell'Unione Matematica Italiana, 2023 | | 2023 |
Ensembles of affine-control systems with applications to Deep Learning A Scagliotti SISSA, 2022 | | 2022 |