Vlad Sobal

According to our database, Vlad Sobal authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

𝕏-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs.

Vlad Sobal, Mark Ibrahim, Randall Balestriero, Vivien Cabannes, Diane Bouchacourt, Pietro Astolfi, Kyunghyun Cho, Yann LeCun

CoRR, 2024

Hierarchical World Models as Visual Whole-Body Humanoid Controllers.

Nicklas Hansen, Jyothir S. V, Vlad Sobal, Yann LeCun, Xiaolong Wang, Hao Su

CoRR, 2024

Light-weight Probing of Unsupervised Representations for Reinforcement Learning.

Wancong Zhang, Anthony GX-Chen, Vlad Sobal, Yann LeCun, Nicolas Carion

Proceedings of the 1st Reinforcement Learning Conference, 2024

2023

Gradient-based Planning with World Models.

Jyothir S. V, Siddhartha Jalagam, Yann LeCun, Vlad Sobal

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

2022

Joint Embedding Predictive Architectures Focus on Slow Features.

Vlad Sobal, Jyothir S. V, Siddhartha Jalagam, Nicolas Carion, Kyunghyun Cho, Yann LeCun

CoRR, 2022

Separating the World and Ego Models for Self-Driving.

Vlad Sobal, Alfredo Canziani, Nicolas Carion, Kyunghyun Cho, Yann LeCun

CoRR, 2022