Quentin Garrido

According to our database, Quentin Garrido authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning and Leveraging World Models in Visual Representation Learning.

Quentin Garrido, Mahmoud Assran, Nicolas Ballas, Adrien Bardes, Laurent Najman, Yann LeCun

CoRR, 2024

2023

Self-Supervised Learning with Lie Symmetries for Partial Differential Equations.

Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak Toussi Kiani

CoRR, 2023

A Cookbook of Self-Supervised Learning.

Randall Balestriero, Mark Ibrahim, Vlad Sobal, Ari Morcos, Shashank Shekhar, Tom Goldstein, Florian Bordes, Adrien Bardes, Grégoire Mialon, Yuandong Tian, Avi Schwarzschild, Andrew Gordon Wilson, Jonas Geiping, Quentin Garrido, Pierre Fernandez, Amir Bar, Hamed Pirsiavash, Yann LeCun, Micah Goldblum

CoRR, 2023

Self-Supervised Learning with Lie Symmetries for Partial Differential Equations.

Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak T. Kiani

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Self-supervised learning of Split Invariant Equivariant representations.

Quentin Garrido, Laurent Najman, Yann LeCun

Proceedings of the International Conference on Machine Learning, 2023

RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank.

Quentin Garrido, Randall Balestriero, Laurent Najman, Yann LeCun

Proceedings of the International Conference on Machine Learning, 2023

On the duality between contrastive and non-contrastive self-supervised learning.

Quentin Garrido, Yubei Chen, Adrien Bardes, Laurent Najman, Yann LeCun

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

The Robustness Limits of SoTA Vision Models to Natural Variation.

Mark Ibrahim, Quentin Garrido, Ari Morcos, Diane Bouchacourt

CoRR, 2022

Guillotine Regularization: Improving Deep Networks Generalization by Removing their Head.

Florian Bordes, Randall Balestriero, Quentin Garrido, Adrien Bardes, Pascal Vincent

CoRR, 2022

2021

Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder.

Quentin Garrido, Sebastian Damrich, Alexander Jäger, Dario Cerletti, Manfred Claassen, Laurent Najman, Fred A. Hamprecht

CoRR, 2021