Publications

This list may not be updated, see my 🎓 page for the latest version.

Journal papers

• EcoLogits: Evaluating the Environmental Impacts of Generative AI
  Samuel Rincé, AB
  The Journal of Open Source Software - 2025
  Paper written as a GenAI Impact non-profit member (outside of the scope of my research)
  paper review package

• Data-driven memory-dependent abstractions of dynamical systems via a Cantor-Kantorovich metric
  AB, Licio Romao, Alessandro Abate, Raphaël M. Jungers
  arXiv, 2024 - Accepted for publication in IEEE-TAC
  pre-print

• Learning stability guarantees for constrained switching linear systems from noisy observations
  AB, Zheming Wang, Raphaël M. Jungers
  Nonlinear Analysis: Hybrid Systems - 2024
  paper

Peer-reviewed conferences

• Agile Temporal Discretization for Symbolic Optimal Control
  Adrien Janssens, AB, Julien Calbert, Raphaël M. Jungers
  arXiv, 2025 - Accepted for presentation at CDC25
  pre-print

• Memory-dependent abstractions of stochastic systems through the lens of transfer operators
  AB, Giannis Delimpaltadakis, Luca Laurenti, Manuel Mazo Jr., Raphaël M. Jungers
  28th ACM International Conference on Hybrid Systems: Computation and Control, 2025
  paper code

• A Cantor-Kantorovich Metric Between Markov Decision Processes with Application to Transfer Learning
  AB, Venkatraman Renganathan, Raphaël M. Jungers
  26th International Symposium on Mathematical Theory of Networks and Systems (MTNS) - 2024
  paper code

• Dionysos.jl: a Modular Platform for Smart Symbolic Control
  Julien Calbert, AB, Benoît Legat, Raphaël M. Jungers
  JuliaCon - 2024
  paper review code

• Data-driven abstractions via adaptive refinements and a Kantorovich metric
  AB, Licio Romao, Alessandro Abate, Raphaël M. Jungers
  62nd IEEE Conference on Decision and Control (CDC) - 2023
  Hybrid Systems TC Outstanding Student Paper Prize
  paper extended version

• Data-driven memory-dependent abstractions of dynamical systems
  AB, Licio Romao, Alessandro Abate, Raphaël M. Jungers
  5th Conference on Learning for Dynamics & Control (L4DC) - 2023
  paper

• Black-box stability analysis of hybrid systems with sample-based multiple Lyapunov functions
  AB, Zheming Wang, Raphaël M. Jungers
  61st IEEE Conference on Decision and Control (CDC) - 2022
  paper

• Learning stability guarantees for data-driven constrained switching linear systems
  AB, Zheming Wang, Raphaël M. Jungers
  25th International Symposium on Mathematical Theory of Networks and Systems (MTNS) - 2022
  paper