Adrien Banse

According to our database, Adrien Banse authored at least 16 papers between 2022 and 2026.

Collaborative distances:

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

2026

A Path-Complete Approach for Optimal Control of Switched Systems.

Léa Ninite, Adrien Banse, Guillaume O. Berger, Raphaël M. Jungers

CoRR, February, 2026

2025

Data-Driven Memory-Dependent Abstractions of Dynamical Systems via a Cantor-Kantorovich Metric.

Adrien Banse, Licio Romao, Alessandro Abate, Raphaël M. Jungers

IEEE Trans. Autom. Control., December, 2025

Comparing Labeled Markov Chains: A Cantor-Kantorovich Approach.

Adrien Banse, Alessandro Abate, Raphaël M. Jungers

CoRR, November, 2025

EcoLogits: Evaluating the Environmental Impacts of Generative AI.

Samuel Rincé, Adrien Banse

J. Open Source Softw., July, 2025

Memory-dependent abstractions of stochastic systems through the lens of transfer operators.

Adrien Banse, Giannis Delimpaltadakis, Luca Laurenti, Manuel Mazo, Raphaël M. Jungers

Proceedings of the 28th ACM International Conference on Hybrid Systems: Computation and Control, 2025

Agile Temporal Discretization for Symbolic Optimal Control.

Adrien Janssens, Adrien Banse, Julien Calbert, Raphaël M. Jungers

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

2024

Dionysos.jl: a Modular Platform for Smart Symbolic Control.

Julien Calbert, Adrien Banse, Benoît Legat, Raphaël M. Jungers

Dataset, December, 2024

A Cantor-Kantorovich Metric Between Markov Decision Processes with Application to Transfer Learning.

Adrien Banse, Venkatraman Renganathan, Raphaël M. Jungers

CoRR, 2024

Dionysos.jl: a Modular Platform for Smart Symbolic Control.

Julien Calbert, Adrien Banse, Benoît Legat, Raphaël M. Jungers

CoRR, 2024

Federated Learning with Differential Privacy.

Adrien Banse, Jan Kreischer, Xavier Oliva i Jürgens

CoRR, 2024

2023

Data-driven abstractions via adaptive refinements and a Kantorovich metric [extended version].

Adrien Banse, Licio Romao, Alessandro Abate, Raphaël M. Jungers

CoRR, 2023

Learning stability guarantees for constrained switching linear systems from noisy observations.

Adrien Banse, Zheming Wang, Raphaël M. Jungers

CoRR, 2023

Data-driven memory-dependent abstractions of dynamical systems.

Adrien Banse, Licio Romao, Alessandro Abate, Raphaël M. Jungers

Proceedings of the Learning for Dynamics and Control Conference, 2023

Data-driven Abstractions via Adaptive Refinements and a Kantorovich Metric.

Adrien Banse, Licio Romao, Alessandro Abate, Raphaël M. Jungers

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

2022

Learning stability guarantees for data-driven constrained switching linear systems.

Adrien Banse, Zheming Wang, Raphaël M. Jungers

CoRR, 2022

Black-box stability analysis of hybrid systems with sample-based multiple Lyapunov functions.

Adrien Banse, Zheming Wang, Raphaël M. Jungers

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