quentin le lidec
I am a postdoctoral reseacher at the Courant Institute of Mathematical Sciences at New York University, working with Yann LeCun on learning world models for robotics.
My research interests are in machine learning, optimization, and computer vision, particularly as applied to robotics. I also work on the open-source Pinocchio and Simple libraries, making differentiable physics tools accessible for the robotics community.
Prior to that, I received my PhD in computer science from ENS Paris where I was working under the supervision of Justin Carpentier, Ivan Laptev, and Cordelia Schmid. Even before that, I received an engineering degree from École Polytechnique and an MSc in Mathematics, Computer Vision, and Machine Learning from École Normale Supérieure Paris-Saclay.
news
Dec 17, 2024 | I defended my PhD on Differentiable optimization for robotics: simulation, learning and control. |
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Nov 09, 2024 | I organized a workshop on Differentiable Optimization Everywhere: Simulation, Estimation, Learning, and Control at CORL’24 in Munich! |
Jul 14, 2024 | The paper From Compliant to Rigid Contact Simulation: a Unified and Efficient Approach was accepted to RSS’24! |