Clara L. Galimberti

According to our database, Clara L. Galimberti authored at least 11 papers between 2021 and 2025.

Collaborative distances:

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

2025

PAC-Bayesian Optimal Control with Stability and Generalization Guarantees.

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

CoRR, December, 2025

Parametrizations of all stable closed-loop responses: From theory to neural network control design.

Clara Lucía Galimberti, Luca Furieri, Giancarlo Ferrari-Trecate

Annu. Rev. Control., 2025

Neural Identification of Feedback-Stabilized Nonlinear Systems.

Mahrokh Ghoddousi Boroujeni, Laura Meroi, Leonardo Massai, Clara L. Galimberti, Giancarlo Ferrari-Trecate

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

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

Proceedings of the 63rd IEEE Conference on Decision and Control, 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