Implementing Partial Persistence in Object-Oriented Languages. - Frédéric Pluquet; Stefan Langerman; Antoine Marot; Roel Wuyts (ALENEX, 2008)

A DSL to declare aspect execution order. - Antoine Marot; Roel Wuyts (DSAL@AOSD, 2008)

Composability of aspects. - Antoine Marot; Roel Wuyts (SPLAT@AOSD, 2008)

Fast type reconstruction for dynamically typed programming languages. - Frédéric Pluquet; Antoine Marot; Roel Wuyts (DLS, 2009)

Detecting unanticipated aspect interferences at runtime with compositional intentions. - Antoine Marot; Roel Wuyts (RAM-SE@ECOOP, 2009)

Preserving the separation of concerns while composing aspects on shared joinpoints. - Antoine Marot (OOPSLA Companion, 2009)

Composing aspects with aspects. - Antoine Marot; Roel Wuyts (AOSD, 2010)

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)

Deep Statistical Solvers. - Balthazar Donon; Zhengying Liu; Wenzhuo Liu; Isabelle Guyon; Antoine Marot; Marc Schoenauer (NeurIPS, 2020)

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)

Reinforcement Learning for Electricity Network Operation. - Adrian Kelly; Aidan O'Sullivan; Patrick de Mars; Antoine Marot (CoRR, 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)

Metadata-informed community detection with lazy encoding using absorbing random walks. - Aleix Bassolas; Anton Eriksson; Antoine Marot; Martin Rosvall; Vincenzo Nicosia (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)

Creating StoryLines: Participatory Design with Power Grid Operators. - Wissal Sahel; Wendy E. Mackay; Antoine Marot (CHIRA (2), 2023)

Grid2Onto: An Application Ontology for Knowledge Capitalisation to Assist Power Grid Operators. - Emna Amdouni; Mostepha Khouadjia; Maroua Meddeb; Antoine Marot; Laure Crochepierre; Walid Achour (JOWO, 2023)

Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents. - Malte Lehna; Jan Viebahn; Christoph Scholz 001; Antoine Marot; Sven Tomforde (CoRR, 2023)

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

AI Competitions and Benchmarks: towards impactful challenges with post-challenge papers, benchmarks and other dissemination actions. - Antoine Marot; David Rousseau; Zhen Xu 007 (CoRR, 2023)

A Pioneering Roadmap for ML-Driven Algorithmic Advancements in Electrical Networks. - Jochen L. Cremer; Adrian Kelly; Ricardo J. Bessa; Milos Subasic; Panagiotis N. Papadopoulos; Samuel Young; Amar Sagar; Antoine Marot (ISGT EUROPE, 2024)

Risk Evaluation of AI Systems in the Energy Sector - Three Case Studies from TSO Business. - Fabian Heymann; Antoine Marot; Medha Subramanian; Matthias Galus (RTSI, 2024)

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)

A Conceptual Framework for AI-based Decision Systems in Critical Infrastructures. - Milad Leyli-Abadi; Ricardo J. Bessa; Jan Viebahn; Daniel Boos; Clark Borst; Alberto Castagna; Ricardo Chavarriaga; Mohamed Hassouna; Bruno Lemetayer; Giulia Leto; Antoine Marot; Maroua Meddeb; et al. (CoRR, 2025)

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case. - Milad Leyli-Abadi; Jérôme Picault; Antoine Marot; Jean-Patrick Brunet; Agathe Gilain; Amarsagar Reddy Ramapuram Matavalam; Shaban Ghias Satti; Qingbin Jiang; Yang Liu; Dean Justin Ninalga (CoRR, 2025)