Introducing machine learning for power system operation support. - Benjamin Donnot; Isabelle Guyon; Marc Schoenauer; Patrick Panciatici; Antoine Marot (CoRR, 2017)

Fast Power system security analysis with Guided Dropout. - Benjamin Donnot; Isabelle Guyon; Antoine Marot; Marc Schoenauer; Patrick Panciatici (ESANN, 2018)

Anticipating contingengies in power grids using fast neural net screening. - Benjamin Donnot; Isabelle Guyon; Marc Schoenauer; Antoine Marot; Patrick Panciatici (IJCNN, 2018)

Optimization of computational budget for power system risk assessment. - Benjamin Donnot; Isabelle Guyon; Antoine Marot; Marc Schoenauer; Patrick Panciatici (ISGT Europe, 2018)

Guided Machine Learning for Power Grid Segmentation. - Antoine Marot; Sami Tazi; Benjamin Donnot; Patrick Panciatici (ISGT Europe, 2018)

LEAP nets for power grid perturbations. - Benjamin Donnot; Balthazar Donon; Isabelle Guyon; Zhengying Liu; Antoine Marot; Patrick Panciatici; Marc Schoenauer (ESANN, 2019)

Graph Neural Solver for Power Systems. - Balthazar Donon; Benjamin Donnot; Isabelle Guyon; Antoine Marot (IJCNN, 2019)

Interpreting Atypical Conditions in Systems with Deep Conditional Autoencoders: The Case of Electrical Consumption. - Antoine Marot; Antoine Rosin; Laure Crochepierre; Benjamin Donnot; Pierre Pinson; Lydia Boudjeloud-Assala (ECML/PKDD (3), 2019)

Learning to run a power network challenge for training topology controllers. - Antoine Marot; Benjamin Donnot; Camilo Romero; Luca Veyrin-Forrer; Marvin Lerousseau; Balthazar Donon; Isabelle Guyon (CoRR, 2019)

Learning to run a Power Network Challenge: a Retrospective Analysis. - Antoine Marot; Benjamin Donnot; Gabriel Dulac-Arnold; Adrian Kelly; Aidan O'Sullivan; Jan Viebahn; Mariette Awad; Isabelle Guyon; Patrick Panciatici; Camilo Romero (NeurIPS (Competition and Demos), 2020)

Exploring grid topology reconfiguration using a simple deep reinforcement learning approach. - Medha Subramanian; Jan Viebahn; Simon H. Tindemans; Benjamin Donnot; Antoine Marot (CoRR, 2020)

Towards an AI assistant for human grid operators. - Antoine Marot; Alexandre Rozier; Matthieu Dussartre; Laure Crochepierre; Benjamin Donnot (CoRR, 2020)

Adversarial training for continuous robustness control problem in power systems. - Loïc Omnes; Antoine Marot; Benjamin Donnot (CoRR, 2020)

LEAP nets for system identification and application to power systems. - Balthazar Donon; Benjamin Donnot; Isabelle Guyon; Zhengying Liu; Antoine Marot; Patrick Panciatici; Marc Schoenauer (Neurocomputing, 2020)

Learning to run a power network with trust. - Antoine Marot; Benjamin Donnot; Karim Chaouache; Adrian Kelly; Qiuhua Huang; Ramij Raja Hossain; Jochen L. Cremer (CoRR, 2021)

Towards an AI Assistant for Power Grid Operators. - Antoine Marot; Alexandre Rozier; Matthieu Dussartre; Laure Crochepierre; Benjamin Donnot (HHAI, 2022)

LIPS - Learning Industrial Physical Simulation benchmark suite. - Milad Leyli-Abadi; Antoine Marot; Jérôme Picault; David Danan; Mouadh Yagoubi; Benjamin Donnot; Seif Attoui; Pavel Dimitrov; Asma Farjallah; Clement Etienam (NeurIPS, 2022)

Reinforcement learning for Energies of the future and carbon neutrality: a Challenge Design. - Gaëtan Serré; Eva Boguslawski; Benjamin Donnot; Adrien Pavão; Isabelle Guyon; Antoine Marot (CoRR, 2022)

Extended superposition theorem under power grid topological changes. - Antoine Marot; Benjamin Donnot; Noureddine Henka; Sami Tazi (CoRR, 2023)

RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations. - Enrico Marchesini; Benjamin Donnot; Constance Crozier; Ian Dytham; Christian Merz; Lars Schewe; Nico Westerbeck; Cathy Wu 002; Antoine Marot; Priya L. Donti (CoRR, 2025)