Quentin Garrido
Research Scientist, FAIR at Meta.
I’m Quentin Garrido, a Research Scientist at FAIR at Meta working broadly on Self-Supervised Learning and World Models.
My resarch focuses primarily on self-supervised learning and it’s application to computer vision and natural sciences. More recently, my research has pivoted towards video understanding and building world models from natural data (e.g. raw videos).
Previously, I obtained a PhD in computer science from FAIR at Meta and Université Gustave Eiffel, co-advised by Yann LeCun and Laurent Najman. I also hold a master degree from the Mathématiques,Vision, Apprentissage (MVA) program at École Normale Supérieure Paris-Saclay, as well as an engineering degree from ESIEE Paris in computer science.
news
| Sep 21, 2023 | Our paper Self-Supervised Learning with Lie Symmetries for Partial Differential Equations has been accepted at NeurIPS 2023. |
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| Apr 24, 2023 | Two papers accepted at ICML 2023, RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank and Self-supervised learning of Split Invariant Equivariant representations ! |
| Mar 21, 2023 | Our paper On the duality between contrastive and non-contrastive self-supervised learning has received an Oustanding Paper Honorable Mention at ICLR 2023 ! |
| Jul 14, 2022 | I have been awarded the Ian Lawson Van Toch Memorial Award for Outstanding Student Paper at ISMB 2022 for our work Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder ! |
| Mar 7, 2022 | I have officialy started my PhD at Meta AI - FAIR and LIGM. |