Research scientist at NaverLabs Europe within the Spatial AI team, developing new end-to-end algorithms for robotics.
PhD in Deep learning for physics simulation and control theory, background in electrical engineering and signal processing. I am also an "agrégé" teacher in engineering and computer science.
Guilty pleasure with overly animated slides, and fancy project pages...
My PhD defense was on the January 2024, and I went all-in with the animations and visualisations.
I've been invited to give a talk to the "Journée Deep Learning pour la Science" (JDLS) at CNRS in June 2025. Yet another occasion to make a fancy slidedeck.
A cool set of data visualisations to highlight our findings from our CVPR 2025 paper.
Uses ArXiv API to search for papers by authors !
Subject: Incorporation of physical prior knowledge in deep learning for forecasting and control
Advisors:
