Quentin Garrido

30 papers A* 5Journal 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Lightweight Library for Energy-Based Joint-Embedding Predictive Architectures. CoRR Basile Terver, Randall Balestriero, Megi Dervishi, David Fan, Quentin Garrido, Tushar Nagarajan, Koustuv Sinha, Wancong Zhang, Mike Rabbat, Yann LeCun, Amir Bar
2026	J	`jnl`	Interpreting Physics in Video World Models. CoRR Sonia Joseph, Quentin Garrido, Randall Balestriero, Matthew Kowal, Thomas Fel, Shahab Bakhtiari, Blake A. Richards, Mike Rabbat
2026	J	`jnl`	Learning Latent Action World Models In The Wild. CoRR Quentin Garrido, Tushar Nagarajan, Basile Terver, Nicolas Ballas, Yann LeCun, Michael Rabbat
2025	J	`jnl`	A Shortcut-aware Video-QA Benchmark for Physical Understanding via Minimal Video Pairs. CoRR Benno Krojer, Mojtaba Komeili, Candace Ross, Quentin Garrido, Koustuv Sinha, Nicolas Ballas, Mahmoud Assran
2025	J	`jnl`	A Shortcut-aware Video-QA Benchmark for Physical Understanding via Minimal Video Pairs. Trans. Mach. Learn. Res. Benno Krojer, Mojtaba Komeili, Candace Ross, Quentin Garrido, Koustuv Sinha, Nicolas Ballas, Mido Assran
2025	J	`jnl`	IntPhys 2: Benchmarking Intuitive Physics Understanding In Complex Synthetic Environments. CoRR Florian Bordes, Quentin Garrido, Justine T. Kao, Adina Williams, Michael Rabbat, Emmanuel Dupoux
2025	J	`jnl`	Intuitive physics understanding emerges from self-supervised pretraining on natural videos. CoRR Quentin Garrido, Nicolas Ballas, Mahmoud Assran, Adrien Bardes, Laurent Najman, Michael Rabbat, Emmanuel Dupoux, Yann LeCun
2025	—	`—`	Self-supervised learning beyond invariant image representations. (Apprentissage auto-supervisé au-delà de représentations invariantes d'images). Quentin Garrido
2025	J	`jnl`	V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning. CoRR Mido Assran, Adrien Bardes, David Fan, Quentin Garrido, Russell Howes, Mojtaba Komeili, Matthew J. Muckley, Ammar Rizvi, Claire Roberts, Koustuv Sinha, Artem Zholus, Sergio Arnaud, Abha Gejji, Ada Martin, Francois Robert Hogan, Daniel Dugas, Piotr Bojanowski, Vasil Khalidov, Patrick Labatut, Francisco Massa, Marc Szafraniec, Kapil Krishnakumar, Yong Li, Xiaodong Ma, Sarath Chandar, Franziska Meier, Yann LeCun, Michael Rabbat, Nicolas Ballas
2024	J	`jnl`	An Introduction to Vision-Language Modeling. CoRR Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra
2024	J	`jnl`	Learning and Leveraging World Models in Visual Representation Learning. CoRR Quentin Garrido, Mahmoud Assran, Nicolas Ballas, Adrien Bardes, Laurent Najman, Yann LeCun
2024	J	`jnl`	Revisiting Feature Prediction for Learning Visual Representations from Video. CoRR Adrien Bardes, Quentin Garrido, Jean Ponce, Xinlei Chen, Michael G. Rabbat, Yann LeCun, Mahmoud Assran, Nicolas Ballas
2024	J	`jnl`	Revisiting Feature Prediction for Learning Visual Representations from Video. Trans. Mach. Learn. Res. Adrien Bardes, Quentin Garrido, Jean Ponce, Xinlei Chen, Michael Rabbat, Yann LeCun, Mido Assran, Nicolas Ballas
2024	A*	`conf`	UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling. NeurIPS Haider Al-Tahan, Quentin Garrido, Randall Balestriero, Diane Bouchacourt, Caner Hazirbas, Mark Ibrahim
2024	J	`jnl`	UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling. CoRR Haider Al-Tahan, Quentin Garrido, Randall Balestriero, Diane Bouchacourt, Caner Hazirbas, Mark Ibrahim
2023	J	`jnl`	A Cookbook of Self-Supervised Learning. CoRR 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
2023	J	`jnl`	Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning. Trans. Mach. Learn. Res. Florian Bordes, Randall Balestriero, Quentin Garrido, Adrien Bardes, Pascal Vincent
2023	A*	`conf`	On the duality between contrastive and non-contrastive self-supervised learning. ICLR Quentin Garrido, Yubei Chen, Adrien Bardes, Laurent Najman, Yann LeCun
2023	A*	`conf`	RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank. ICML Quentin Garrido, Randall Balestriero, Laurent Najman, Yann LeCun
2023	A*	`conf`	Self-Supervised Learning with Lie Symmetries for Partial Differential Equations. NeurIPS Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak T. Kiani
2023	J	`jnl`	Self-Supervised Learning with Lie Symmetries for Partial Differential Equations. CoRR Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak Toussi Kiani
2023	A*	`conf`	Self-supervised learning of Split Invariant Equivariant representations. ICML Quentin Garrido, Laurent Najman, Yann LeCun
2023	J	`jnl`	Self-supervised learning of Split Invariant Equivariant representations. CoRR Quentin Garrido, Laurent Najman, Yann LeCun
2023	J	`jnl`	The Robustness Limits of SoTA Vision Models to Natural Variation. Trans. Mach. Learn. Res. Mark Ibrahim, Quentin Garrido, Ari S. Morcos, Diane Bouchacourt
2022	J	`jnl`	Guillotine Regularization: Improving Deep Networks Generalization by Removing their Head. CoRR Florian Bordes, Randall Balestriero, Quentin Garrido, Adrien Bardes, Pascal Vincent
2022	J	`jnl`	On the duality between contrastive and non-contrastive self-supervised learning. CoRR Quentin Garrido, Yubei Chen, Adrien Bardes, Laurent Najman, Yann LeCun
2022	J	`jnl`	RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank. CoRR Quentin Garrido, Randall Balestriero, Laurent Najman, Yann LeCun
2022	J	`jnl`	The Robustness Limits of SoTA Vision Models to Natural Variation. CoRR Mark Ibrahim, Quentin Garrido, Ari Morcos, Diane Bouchacourt
2022	J	`jnl`	Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder. Bioinform. Quentin Garrido, Sebastian Damrich, Alexander Jäger, Dario Cerletti, Manfred Claassen, Laurent Najman, Fred A. Hamprecht
2021	J	`jnl`	Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder. CoRR Quentin Garrido, Sebastian Damrich, Alexander Jäger, Dario Cerletti, Manfred Claassen, Laurent Najman, Fred A. Hamprecht