Follow
Vlad Sobal
Title
Cited by
Cited by
Year
Avi Schwarzschild, Andrew Gordon Wilson, Jonas Geiping, Quentin Garrido, Pierre Fernandez, Amir Bar, Hamed Pirsiavash, Yann LeCun, and Micah Goldblum
R Balestriero, M Ibrahim, V Sobal, A Morcos, S Shekhar, T Goldstein, ...
A cookbook of self-supervised learning 2, 2023
542023
Tico: Transformation invariance and covariance contrast for self-supervised visual representation learning
J Zhu, RM Moraes, S Karakulak, V Sobol, A Canziani, Y LeCun
arXiv preprint arXiv:2206.10698, 2022
192022
A cookbook of self-supervised learning. arXiv 2023
R Balestriero, M Ibrahim, V Sobal, A Morcos, S Shekhar, T Goldstein, ...
arXiv preprint arXiv:2304.12210, 0
10
Light-weight probing of unsupervised representations for reinforcement learning
W Zhang, A GX-Chen, V Sobal, Y LeCun, N Carion
arXiv preprint arXiv:2208.12345, 2022
92022
A Cookbook of Self-Supervised Learning,(2023)
R Balestriero, M Ibrahim, V Sobal, A Morcos, S Shekhar, T Goldstein, ...
arXiv preprint arXiv:2304.12210, 0
7
Joint embedding predictive architectures focus on slow features
V Sobal, J SV, S Jalagam, N Carion, K Cho, Y LeCun
arXiv preprint arXiv:2211.10831, 2022
62022
Separating the world and ego models for self-driving
V Sobal, A Canziani, N Carion, K Cho, Y LeCun
arXiv preprint arXiv:2204.07184, 2022
62022
A Cookbook of Self-Supervised Learning. arXiv. Cornell University. April 24, 2023
R Balestriero, M Ibrahim, V Sobal, A Morcos, S Shekhar, T Goldstein, ...
arXiv preprint arXiv:2304.12210, 0
5
Gradient-based planning with world models
SV Jyothir, S Jalagam, Y LeCun, V Sobal
arXiv preprint arXiv:2312.17227, 2023
32023
Hierarchical World Models as Visual Whole-Body Humanoid Controllers
N Hansen, J SV, V Sobal, Y LeCun, X Wang, H Su
arXiv preprint arXiv:2405.18418, 2024
2024
Gradient-based Planning with World Models
J SV, S Jalagam, Y LeCun, V Sobal
arXiv preprint arXiv:2312.17227, 2023
2023
Gradient-based Planning with World Models
S Jalagam, Y LeCun, V Sobal
arXiv e-prints, arXiv: 2312.17227, 2023
2023
-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs
V Sobal, M Ibrahim, R Balestriero, V Cabannes, D Bouchacourt, P Astolfi, ...
ICML 2024 Workshop on Foundation Models in the Wild, 0
The system can't perform the operation now. Try again later.
Articles 1–13