Antoine Marot

According to our database, Antoine Marot authored at least 35 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

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

CoRR, 2024

Risk Evaluation of AI Systems in the Energy Sector - Three Case Studies from TSO Business.

Fabian Heymann, Antoine Marot, Medha Subramanian, Matthias Galus

Proceedings of the 8th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2024

2023

AI Competitions and Benchmarks: towards impactful challenges with post-challenge papers, benchmarks and other dissemination actions.

Antoine Marot, David Rousseau, Zhen Xu

CoRR, 2023

Extended superposition theorem under power grid topological changes.

Antoine Marot, Benjamin Donnot, Noureddine Henka, Sami Tazi

CoRR, 2023

Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents.

Malte Lehna, Jan Viebahn, Christoph Scholz, Antoine Marot, Sven Tomforde

CoRR, 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

Proceedings of the Joint Ontology Workshops 2023 Episode IX: The Quebec Summer of Ontology co-located with the 13th International Conference on Formal Ontology in Information Systems (FOIS 2023), 2023

Creating StoryLines: Participatory Design with Power Grid Operators.

Wissal Sahel, Wendy E. Mackay, Antoine Marot

Proceedings of the Computer-Human Interaction Research and Applications, 2023

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

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards an AI Assistant for Power Grid Operators.

Antoine Marot, Alexandre Rozier, Matthieu Dussartre, Laure Crochepierre, Benjamin Donnot

Proceedings of the HHAI 2022: Augmenting Human Intellect, 2022

2021

Metadata-informed community detection with lazy encoding using absorbing random walks.

Aleix Bassolas, Anton Eriksson, Antoine Marot, Martin Rosvall, Vincenzo Nicosia

CoRR, 2021

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

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

Adversarial training for continuous robustness control problem in power systems.

Loïc Omnes, Antoine Marot, Benjamin Donnot

CoRR, 2020

Towards an AI assistant for human grid operators.

Antoine Marot, Alexandre Rozier, Matthieu Dussartre, Laure Crochepierre, Benjamin Donnot

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

Reinforcement Learning for Electricity Network Operation.

Adrian Kelly, Aidan O'Sullivan, Patrick de Mars, Antoine Marot

CoRR, 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

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Deep Statistical Solvers.

Balthazar Donon, Zhengying Liu, Wenzhuo Liu, Isabelle Guyon, Antoine Marot, Marc Schoenauer

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

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

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Graph Neural Solver for Power Systems.

Balthazar Donon, Benjamin Donnot, Isabelle Guyon, Antoine Marot

Proceedings of the International Joint Conference on Neural Networks, 2019

LEAP nets for power grid perturbations.

Benjamin Donnot, Balthazar Donon, Isabelle Guyon, Zhengying Liu, Antoine Marot, Patrick Panciatici, Marc Schoenauer

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018

Guided Machine Learning for Power Grid Segmentation.

Antoine Marot, Sami Tazi, Benjamin Donnot, Patrick Panciatici

Proceedings of the 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2018

Optimization of computational budget for power system risk assessment.

Benjamin Donnot, Isabelle Guyon, Antoine Marot, Marc Schoenauer, Patrick Panciatici

Proceedings of the 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2018

Anticipating contingengies in power grids using fast neural net screening.

Benjamin Donnot, Isabelle Guyon, Marc Schoenauer, Antoine Marot, Patrick Panciatici

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Fast Power system security analysis with Guided Dropout.

Benjamin Donnot, Isabelle Guyon, Antoine Marot, Marc Schoenauer, Patrick Panciatici

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017

Introducing machine learning for power system operation support.

Benjamin Donnot, Isabelle Guyon, Marc Schoenauer, Patrick Panciatici, Antoine Marot

CoRR, 2017

2010

Composing aspects with aspects.

Antoine Marot, Roel Wuyts

Proceedings of the 9th International Conference on Aspect-Oriented Software Development, 2010

2009

Preserving the separation of concerns while composing aspects on shared joinpoints.

Antoine Marot

Proceedings of the Companion to the 24th Annual ACM SIGPLAN Conference on Object-Oriented Programming, 2009

Detecting unanticipated aspect interferences at runtime with compositional intentions.

Antoine Marot, Roel Wuyts

Proceedings of the Workshop on AOP and Meta-Data for Software Evolution, 2009

Fast type reconstruction for dynamically typed programming languages.

Frédéric Pluquet, Antoine Marot, Roel Wuyts

Proceedings of the 5th Symposium on Dynamic Languages, 2009

2008

Composability of aspects.

Antoine Marot, Roel Wuyts

Proceedings of the SPLAT@AOSD 2008: Proceedings of the 2008 AOSD workshop on Software engineering properties of languages and aspect technologies, Brussels, Belgium, 31 March, 2008

A DSL to declare aspect execution order.

Antoine Marot, Roel Wuyts

Proceedings of the 2008 AOSD workshop on Domain-specific aspect languages, 2008

Implementing Partial Persistence in Object-Oriented Languages.

Frédéric Pluquet, Stefan Langerman, Antoine Marot, Roel Wuyts

Proceedings of the Tenth Workshop on Algorithm Engineering and Experiments, 2008