Quentin Becker
EPFL IC IINFCOM GCM
BC 346 (Bâtiment BC)
Station 14
CH-1015 Lausanne
Web site: Site web: https://lgg.epfl.ch/
Domaines de compétences
Geometric Computing, Generative Models, Optimization, Physics Based Inverse Problems.
Parcours professionnel
Research Intern
Google Research (Berlin)
June 2022 - September 2022
Research Intern
Dassault Systèmes (Paris)
January 2019 - July 2019
Formation
Master of Science in Mechanical Engineering
UC Berkeley
August 2017 - December 2018
Bachelor of Science and Master of Science in Aeronautical and Aerospace Engineering
ISAE Supaéro
August 2015 - September 2019
Publications
Sélection de publications
| Michelis, Mike Yan, and Quentin Becker ICLR 2021 Workshop on Geometrical and Topological Representation Learning. 2021. |
On Linear Interpolation in the Latent Space of Deep Generative Models. |
Enseignement & Phd
I have been involved in the following courses as a teaching assistant:
- Geometric Computing (F21)
- Introduction to Computer Graphics (S20, S21)
- Analysis I (F20)
- Analysis II (S22)
- Introduction to Programming (F22)