Nicholas Barbara

According to our database, Nicholas Barbara authored at least 9 papers between 2023 and 2025.

Collaborative distances:

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

2025

dLITE: Differentiable Lighting-Informed Trajectory Evaluation for On-Orbit Inspection.

Jack Naylor, Raghav Mishra, Nicholas H. Barbara, Donald G. Dansereau

CoRR, December, 2025

React to Surprises: Stable-by-Design Neural Feedback Control and the Youla-REN.

Nicholas H. Barbara, Ruigang Wang, Alexandre Megretski, Ian R. Manchester

CoRR, June, 2025

R2DN: Scalable Parameterization of Contracting and Lipschitz Recurrent Deep Networks.

Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester

CoRR, April, 2025

RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness.

Nicholas H. Barbara, Max Revay, Ruigang Wang, Jing Cheng, Ian R. Manchester

Dataset, February, 2025

2024

On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks.

Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester

CoRR, 2024

2023

Learning Over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System.

Ruigang Wang, Nicholas Barbara, Max Revay, Ian R. Manchester

IEEE Control. Syst. Lett., 2023

RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness.

Nicholas H. Barbara, Max Revay, Ruigang Wang, Jing Cheng, Ian R. Manchester

CoRR, 2023

Learning Over All Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems.

Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester

CoRR, 2023

Learning Over Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems.

Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester

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