Adrien Bardes

According to our database, Adrien Bardes authored at least 21 papers between 2021 and 2026.

Collaborative distances:

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

2026

Hierarchical Planning with Latent World Models.

Wancong Zhang, Basile Terver, Artem Zholus, Soham Chitnis, Harsh Sutaria, Mido Assran, Randall Balestriero, Amir Bar, Adrien Bardes, Yann LeCun, Nicolas Ballas

CoRR, April, 2026

V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning.

Lorenzo Mur-Labadia, Matthew J. Muckley, Amir Bar, Mido Assran, Koustuv Sinha, Mike Rabbat, Yann LeCun, Nicolas Ballas, Adrien Bardes

CoRR, March, 2026

What Drives Success in Physical Planning with Joint-Embedding Predictive World Models?

Basile Terver, Tsung-Yen Yang, Jean Ponce, Adrien Bardes, Yann LeCun

Trans. Mach. Learn. Res., 2026

2025

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

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

CoRR, June, 2025

Intuitive physics understanding emerges from self-supervised pretraining on natural videos.

Quentin Garrido, Nicolas Ballas, Mahmoud Assran, Adrien Bardes, Laurent Najman, Michael Rabbat, Emmanuel Dupoux, Yann LeCun

CoRR, February, 2025

2024

Self-Supervised Learning with Joint-Embedding Predictive Architectures. (Apprentissage auto-supervisé utilisant des architectures à représentations jointes).

Adrien Bardes

PhD thesis, 2024

Revisiting Feature Prediction for Learning Visual Representations from Video.

Adrien Bardes, Quentin Garrido, Jean Ponce, Xinlei Chen, Michael Rabbat, Yann LeCun, Mido Assran, Nicolas Ballas

Trans. Mach. Learn. Res., 2024

An Introduction to Vision-Language Modeling.

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

CoRR, 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

Bag of Image Patch Embedding Behind the Success of Self-Supervised Learning.

Yubei Chen, Adrien Bardes, Zengyi Li, Yann LeCun

Trans. Mach. Learn. Res., 2023

Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning.

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

Trans. Mach. Learn. Res., 2023

MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features.

Adrien Bardes, Jean Ponce, Yann LeCun

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

No Free Lunch in Self Supervised Representation Learning.

Ihab Bendidi, Adrien Bardes, Ethan Cohen, Alexis Lamiable, Guillaume Bollot, Auguste Genovesio

CoRR, 2023

Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks.

Micah Goldblum, Hossein Souri, Renkun Ni, Manli Shu, Viraj Prabhu, Gowthami Somepalli, Prithvijit Chattopadhyay, Mark Ibrahim, Adrien Bardes, Judy Hoffman, Rama Chellappa, Andrew Gordon Wilson, Tom Goldstein

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

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

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

CoRR, 2022

Intra-Instance VICReg: Bag of Self-Supervised Image Patch Embedding.

Yubei Chen, Adrien Bardes, Zengyi Li, Yann LeCun

CoRR, 2022

VICRegL: Self-Supervised Learning of Local Visual Features.

Adrien Bardes, Jean Ponce, Yann LeCun

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning.

Adrien Bardes, Jean Ponce, Yann LeCun

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Learning to Hallucinate Examples from Extrinsic and Intrinsic Supervision.

Liangke Gui, Adrien Bardes, Ruslan Salakhutdinov, Alexander Hauptmann, Martial Hebert, Yu-Xiong Wang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021