Scholar
Adrien Bardes
Google Scholar ID: SvRU8F8AAAAJ
Research Scientist at Meta, FAIR
Citations & Impact
Citations
3,227
H-index
14
i10-index
15
Publications
19
Co-authors
14
list available
Publications
Resume (English only)
Academic Achievements
- Published work on 'MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features' and contributed to 'A Cookbook of Self-Supervised Learning'.
Research Experience
- A third-year PhD student (graduating in Spring'2024) between Meta AI & Inria, advised by Jean Ponce and Yann LeCun. Focused on research in self-supervised learning during his studies.
Education
- MSc in Mathematics, Vision and Learning; BSc in Theoretical Computer Science from ENS Paris-Saclay; BSc in Mathematics and Computer Science from University Paris-Est Creteil. Interned at Carnegie Mellon University's Robotics Institute, working with Martiel Hebert and Yu-Xiong Wang on few-shot learning in computer vision.
Background
- Research interests lie between the theory and practice of self-supervised learning from visual inputs. Strongly believes that vision is a core component of human intelligence and that future AI systems will understand the world by self-learning from visual data such as images and videos.
Miscellany
- Currently on the job market seeking research opportunities in both academia and the industry.
