A unified framework for Hamiltonian deep neural networks. - Clara Lucía Galimberti; Liang Xu 005; Giancarlo Ferrari-Trecate (L4DC, 2021)

Hamiltonian Deep Neural Networks Guaranteeing Non-vanishing Gradients by Design. - Clara Lucía Galimberti; Luca Furieri; Liang Xu 005; Giancarlo Ferrari-Trecate (CoRR, 2021)

Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear Systems. - Luca Furieri; Clara Lucía Galimberti; Giancarlo Ferrari-Trecate (CDC, 2022)

Distributed Neural Network Control with Dependability Guarantees: a Compositional Port-Hamiltonian Approach. - Luca Furieri; Clara Lucía Galimberti; Muhammad Zakwan; Giancarlo Ferrari-Trecate (L4DC, 2022)

Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations. - Daniele Martinelli; Clara Lucía Galimberti; Ian R. Manchester; Luca Furieri; Giancarlo Ferrari-Trecate (CDC, 2023)

Hamiltonian Deep Neural Networks Guaranteeing Nonvanishing Gradients by Design. - Clara Lucía Galimberti; Luca Furieri; Liang Xu 005; Giancarlo Ferrari-Trecate (IEEE Trans. Autom. Control., 2023)

A PAC-Bayesian Framework for Optimal Control with Stability Guarantees. - Mahrokh Ghoddousi Boroujeni; Clara Lucía Galimberti; Andreas Krause; Giancarlo Ferrari-Trecate (CDC, 2024)

Learning to Boost the Performance of Stable Nonlinear Systems. - Luca Furieri; Clara Lucía Galimberti; Giancarlo Ferrari-Trecate (CoRR, 2024)

Parametrizations of All Stable Closed-loop Responses: From Theory to Neural Network Control Design. - Clara Lucía Galimberti; Luca Furieri; Giancarlo Ferrari-Trecate (CoRR, 2024)

Neural Identification of Feedback-Stabilized Nonlinear Systems. - Mahrokh Ghoddousi Boroujeni; Laura Meroi; Leonardo Massai; Clara L. Galimberti; Giancarlo Ferrari-Trecate (CoRR, 2025)