Adrien Banse

20 papers Journal 15Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Path-Complete Approach for Optimal Control of Switched Systems.
CoRR
Léa Ninite, Adrien Banse, Guillaume O. Berger, Raphaël M. Jungers
2025 — conf
Agile Temporal Discretization for Symbolic Optimal Control.
CDC
Adrien Janssens, Adrien Banse, Julien Calbert, Raphaël M. Jungers
2025 J jnl
Agile Temporal Discretization for Symbolic Optimal Control.
CoRR
Adrien Janssens, Adrien Banse, Julien Calbert, Raphaël M. Jungers
2025 J jnl
Comparing Labeled Markov Chains: A Cantor-Kantorovich Approach.
CoRR
Adrien Banse, Alessandro Abate, Raphaël M. Jungers
2025 J jnl
Data-Driven Memory-Dependent Abstractions of Dynamical Systems via a Cantor-Kantorovich Metric.
IEEE Trans. Autom. Control.
Adrien Banse, Licio Romao, Alessandro Abate, Raphaël M. Jungers
2025 J jnl
EcoLogits: Evaluating the Environmental Impacts of Generative AI.
J. Open Source Softw.
Samuel Rincé, Adrien Banse
2025 — conf
Memory-dependent abstractions of stochastic systems through the lens of transfer operators.
HSCC
Adrien Banse, Giannis Delimpaltadakis, Luca Laurenti, Manuel Mazo, Raphaël M. Jungers
2025 J jnl
Memory-dependent abstractions of stochastic systems through the lens of transfer operators.
CoRR
Adrien Banse, Giannis Delimpaltadakis, Luca Laurenti, Manuel Mazo Jr., Raphaël M. Jungers
2024 J jnl
A Cantor-Kantorovich Metric Between Markov Decision Processes with Application to Transfer Learning.
CoRR
Adrien Banse, Venkatraman Renganathan, Raphaël M. Jungers
2024 J jnl
Data-driven memory-dependent abstractions of dynamical systems via a Cantor-Kantorovich metric.
CoRR
Adrien Banse, Licio Romao, Alessandro Abate, Raphaël M. Jungers
2024 J jnl
Dionysos.jl: a Modular Platform for Smart Symbolic Control.
CoRR
Julien Calbert, Adrien Banse, Benoît Legat, Raphaël M. Jungers
2024 J jnl
Federated Learning with Differential Privacy.
CoRR
Adrien Banse, Jan Kreischer, Xavier Oliva i Jürgens
2023 — conf
Data-driven Abstractions via Adaptive Refinements and a Kantorovich Metric.
CDC
Adrien Banse, Licio Romao, Alessandro Abate, Raphaël M. Jungers
2023 J jnl
Data-driven abstractions via adaptive refinements and a Kantorovich metric [extended version].
CoRR
Adrien Banse, Licio Romao, Alessandro Abate, Raphaël M. Jungers
2023 — conf
Data-driven memory-dependent abstractions of dynamical systems.
L4DC
Adrien Banse, Licio Romao, Alessandro Abate, Raphaël M. Jungers
2023 J jnl
Learning stability guarantees for constrained switching linear systems from noisy observations.
CoRR
Adrien Banse, Zheming Wang, Raphaël M. Jungers
2022 — conf
Black-box stability analysis of hybrid systems with sample-based multiple Lyapunov functions.
CDC
Adrien Banse, Zheming Wang, Raphaël M. Jungers
2022 J jnl
Black-box stability analysis of hybrid systems with sample-based multiple Lyapunov functions.
CoRR
Adrien Banse, Zheming Wang, Raphaël M. Jungers
2022 J jnl
Data-driven memory-dependent abstractions of dynamical systems.
CoRR
Adrien Banse, Licio Romao, Alessandro Abate, Raphaël M. Jungers
2022 J jnl
Learning stability guarantees for data-driven constrained switching linear systems.
CoRR
Adrien Banse, Zheming Wang, Raphaël M. Jungers