Edouard Leurent
About Me
Hi! I am a Research Scientist at Google DeepMind, working on Gemini.
Research Interests
- Reinforcement learning: for systems optimisation, from human feedback.
- Generative models: language models, diffusion models.
Publications
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RoboSoft
2022 IEEE 5th International Conference on Soft Robotics (RoboSoft), 2022 -
ALT
International Conference on Algorithmic Learning Theory (ALT), 2021 -
PhD Thesis -
NeurIPS
Advances in Neural Information Processing Systems (NeurIPS), 2020, Vol. 33 -
NeurIPS
Advances in Neural Information Processing Systems (NeurIPS), 2020, Vol. 33 -
ALT
International Conference on Algorithmic Learning Theory (ALT), 2020 -
ACML
Asian Conference on Machine Learning (ACML), 2020 -
CDC
Proceedings of the 59th Conference on Decision and Control (CDC 2020) -
NeurIPS
Advances in Neural Information Processing Systems (NeurIPS), 2019, Vol. 32 -
ML4AD @NeurIPS 2019
Machine Learning for Autonomous Driving Workshop at NeurIPS 2019 -
CDC
Conference on Decision and Control (CDC), 2019 -
ECML-PKDD
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2019 -
MLITS @NeurIPS 2018
Machine Learning for Intelligent Transportation System workshop at NeurIPS 2018
Nature
Projects
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Tool to determine the statute of limitations for sexual offences in French criminal law -
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Talks
PhD Defense, October 2020. Communication at a science popularization event, Inria 13:45, October 2020. Invited Speaker, CoFed-DLAD workshop at ITSC, September 2020. Invited Speaker, Amazon Vancouver at NeurIPS, December 2019. Organizer and Teaching Assistant, Reinforcement Learning Summer SCOOL, July 2019. Invited Speaker, Inria-Industry Meetings, September 2018.
Accomplishments
Abertis Prize for Best Doctoral Thesis, awarded by Abertis Chair . Certificate.Best PhD Award, awarded by CNRS (GdR MACS) & Club EEA . Certificate.Second prize at the "AI and the 3rd industrial revolution" Challenge . Certificate.
