2026
- Antoine Martinez, Balthazar Donon, Louis Wehenkel and Efthymios Karangelos, Self-Supervised Graph Neural Networks for Optimal Substation Reconfiguration, PSCC 2026 (pdf)
- Balthazar Donon, Geoffroy Jamgotchian, Hugo Kulesza, Louis Wehenkel, Self-Supervised Graph Neural Networks for Full-Scale Tertiary Voltage Control, PSCC 2026 (pdf)
2025
- François Cubélier, Balthazar Donon, Louis Wehenkel, Boosting Reinforcement Learning for Tertiary Voltage Control by Transfer Learning from a Supervised Power Flow Simulation Task (pdf)
2024
- Balthazar Donon, François Cubélier, Efthymios Karangelos, Louis Wehenkel, Laure Crochepierre, Camille Pache, Lucas Saludjian, Patrick Panciatici, Topology-Aware Reinforcement Learning for Tertiary Voltage Control, PSCC 2024 (pdf)
2022
- Balthazar Donon, Deep Statistical Solvers & Power Systems Applications, Université Paris-Saclay 2022. (PhD Manuscript) (pdf)
2020
- Balthazar Donon, Zhengying Liu, Wenzhuo Liu, Isabelle Guyon, Antoine Marot, Marc Schoenauer, Deep statistical solvers, NeurIPS 2020 (pdf)
- Balthazar Donon, Rémy Clément, Benjamin Donnot, Antoine Marot, Isabelle Guyon, Marc Schoenauer, Neural Networks for Power Flow: Graph Neural Solver, PSCC 2020 (pdf)
- Balthazar Donon, Benjamin Donnot, Isabelle Guyon, Zhengying Liu, Antoine Marot, Patrick Panciatici, Marc Schoenauer, Leap nets for system identification and application to power systems, Neurocomputing 2020, (link)
2019
- Balthazar Donon, Benjamin Donnot, Isabelle Guyon, Antoine Marot, Graph neural solver for power systems, IJCNN 2019 (pdf)
- Benjamin Donnot, Balthazar Donon, Isabelle Guyon, Zhengying Liu, Antoine Marot, Patrick Panciatici, Marc Schoenauer, LEAP nets for power grid perturbations, (pdf)
2018
- Antoine Marot, Balthazar Donon, Isabelle Guyon, Benjamin Donnot, Learning To Run a Power Network Competition, CiML Workshop, NeurIPS 2018 (pdf)
