Alessandro Scagliotti

17 papers Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Trade-off Invariance Principle for Minimizers of Regularized Functionals.
J. Optim. Theory Appl.
Massimo Fornasier, Jona Klemenc, Alessandro Scagliotti
2025 J jnl
Approximation of Diffeomorphisms for Quantum State Transfers.
IEEE Control. Syst. Lett.
Eugenio Pozzoli, Alessandro Scagliotti
2025 J jnl
Ensemble optimal control for managing drug resistance in cancer therapies.
CoRR
Alessandro Scagliotti, Federico Scagliotti, Laura Deborah Locati, Federico Sottotetti
2025 J jnl
Losing Momentum in Continuous-time Stochastic Optimisation.
J. Mach. Learn. Res.
Kexin Jin, Jonas Latz, Chenguang Liu, Alessandro Scagliotti
2025 J jnl
Minimax Problems for Ensembles of Control-Affine Systems.
SIAM J. Control. Optim.
Alessandro Scagliotti
2025 J jnl
Shortest-path recovery from signature with an optimal control approach.
Math. Control. Signals Syst.
Marco Rauscher, Alessandro Scagliotti, Felipe Pagginelli Patricio
2025 J jnl
Towards optimal control of ensembles of discrete-time systems.
CoRR
Christian Fiedler, Alessandro Scagliotti
2024 — conf
A Minimax Optimal Control Approach for Robust Neural ODEs.
ECC
Cristina Cipriani, Alessandro Scagliotti, Tobias Wöhrer
2024 J jnl
Minimax problems for ensembles of affine-control systems.
CoRR
Alessandro Scagliotti
2023 J jnl
A minimax optimal control approach for robust neural ODEs.
CoRR
Cristina Cipriani, Alessandro Scagliotti, Tobias Wöhrer
2023 J jnl
A subgradient method with constant step-size for 𝓁
CoRR
Alessandro Scagliotti, Piero Colli Franzone
2023 J jnl
From NeurODEs to AutoencODEs: a mean-field control framework for width-varying Neural Networks.
CoRR
Cristina Cipriani, Massimo Fornasier, Alessandro Scagliotti
2023 J jnl
Normalizing flows as approximations of optimal transport maps via linear-control neural ODEs.
CoRR
Alessandro Scagliotti, Sara Farinelli
2023 J jnl
Shortest-path recovery from signature with an optimal control approach.
CoRR
Marco Rauscher, Alessandro Scagliotti, Felipe Pagginelli
2022 J jnl
A piecewise conservative method for unconstrained convex optimization.
Comput. Optim. Appl.
Alessandro Scagliotti, Piero Colli Franzone
2022 J jnl
Losing momentum in continuous-time stochastic optimisation.
CoRR
Kexin Jin, Jonas Latz, Chenguang Liu, Alessandro Scagliotti
2021 J jnl
Deep Learning Approximation of Diffeomorphisms via Linear-Control Systems.
CoRR
Alessandro Scagliotti