Clara L. Galimberti

According to our database, Clara L. Galimberti authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Learning to Boost the Performance of Stable Nonlinear Systems.

Luca Furieri, Clara Lucía Galimberti, Giancarlo Ferrari-Trecate

CoRR, 2024

A PAC-Bayesian Framework for Optimal Control with Stability Guarantees.

Mahrokh Ghoddousi Boroujeni, Clara Lucía Galimberti, Andreas Krause, Giancarlo Ferrari-Trecate

CoRR, 2024

2023

Hamiltonian Deep Neural Networks Guaranteeing Nonvanishing Gradients by Design.

Clara Lucía Galimberti, Luca Furieri, Liang Xu, Giancarlo Ferrari-Trecate

IEEE Trans. Autom. Control., May, 2023

Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations.

Daniele Martinelli, Clara Lucía Galimberti, Ian R. Manchester, Luca Furieri, Giancarlo Ferrari-Trecate

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Distributed Neural Network Control with Dependability Guarantees: a Compositional Port-Hamiltonian Approach.

Luca Furieri, Clara Lucía Galimberti, Muhammad Zakwan, Giancarlo Ferrari-Trecate

Proceedings of the Learning for Dynamics and Control Conference, 2022

Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear Systems.

Luca Furieri, Clara Lucía Galimberti, Giancarlo Ferrari-Trecate

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Hamiltonian Deep Neural Networks Guaranteeing Non-vanishing Gradients by Design.

Clara Lucía Galimberti, Luca Furieri, Liang Xu, Giancarlo Ferrari-Trecate

CoRR, 2021

A unified framework for Hamiltonian deep neural networks.

Clara Lucía Galimberti, Liang Xu, Giancarlo Ferrari-Trecate

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021