Quentin Becker
EPFL IC IINFCOM GCM
BC 346 (Bâtiment BC)
Station 14
1015 Lausanne
Web site: Web site: https://www.epfl.ch/labs/gcm/
Fields of expertise
Geometric Computing, Generative Models, Optimization, Physics Based Inverse Problems.
Education
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
Selected publications
| Quentin Becker, Seiichi Suzuki, Yingying Ren, Davide Pellis, Julian Panetta, and Mark Pauly ACM Transactions on Graphics, Volume 42, Issue 6, December 2023 (SIGGRAPH Asia 2023) |
C-shells: Deployable Gridshells with Curved Beams |
| 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. |
Teaching & PhD
I have been involved in the following courses as a teaching assistant:
- Geometric Computing (F21, F23)
- Introduction to Computer Graphics (S20, S21)
- Analysis I (F20)
- Analysis II (S22)
- Introduction to Programming (F22)