Adrien Banse

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 12

Top Topics

Noisy Observations

Stability Analysis

Top Venues

Publications

Adrien Banse, Venkatraman Renganathan, Raphaël M. Jungers
A Cantor-Kantorovich Metric Between Markov Decision Processes with Application to Transfer Learning. CoRR (2024)
Julien Calbert, Adrien Banse, Benoît Legat, Raphaël M. Jungers
Dionysos.jl: a Modular Platform for Smart Symbolic Control. CoRR (2024)
Adrien Banse, Jan Kreischer, Xavier Oliva i Jürgens
Federated Learning with Differential Privacy. CoRR (2024)
Adrien Banse, Licio Romao, Alessandro Abate, Raphaël M. Jungers
Data-driven memory-dependent abstractions of dynamical systems via a Cantor-Kantorovich metric. CoRR (2024)
Adrien Banse, Licio Romao, Alessandro Abate, Raphaël M. Jungers
Data-driven Abstractions via Adaptive Refinements and a Kantorovich Metric. CDC (2023)
Adrien Banse, Licio Romao, Alessandro Abate, Raphaël M. Jungers
Data-driven memory-dependent abstractions of dynamical systems. L4DC (2023)
Adrien Banse, Licio Romao, Alessandro Abate, Raphaël M. Jungers
Data-driven abstractions via adaptive refinements and a Kantorovich metric [extended version]. CoRR (2023)
Adrien Banse, Zheming Wang, Raphaël M. Jungers
Learning stability guarantees for constrained switching linear systems from noisy observations. CoRR (2023)
Adrien Banse, Zheming Wang, Raphaël M. Jungers
Learning stability guarantees for data-driven constrained switching linear systems. CoRR (2022)
Adrien Banse, Zheming Wang, Raphaël M. Jungers
Black-box stability analysis of hybrid systems with sample-based multiple Lyapunov functions. CDC (2022)
Adrien Banse, Zheming Wang, Raphaël M. Jungers
Black-box stability analysis of hybrid systems with sample-based multiple Lyapunov functions. CoRR (2022)
Adrien Banse, Licio Romao, Alessandro Abate, Raphaël M. Jungers
Data-driven memory-dependent abstractions of dynamical systems. CoRR (2022)