I’m Quentin Garrido, a PhD student at Meta AI - FAIR and LIGM working on Self-Supervised Learning.
My particular area of focus is on joint embedding architectures applied to images and videos, but I also have an interest in leveraging these methods in other domains.
Previously, I obtained my master degree from the Mathématiques,Vision, Apprentissage (MVA) program at École Normale Supérieure Paris-Saclay. I also hold an engineering degree from ESIEE Paris in computer science.
|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.|