Balestriero, Randall

A Cookbook of Self-Supervised Learning

Balestriero, R., Ibrahim, M., Sobal, V., Morcos, A., Shekhar, S., Goldstein, T., Bordes, F., Bardes, A., Mialon, G., Tian, Y., et al. (2023) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 182

Learning in High Dimension Always Amounts to Extrapolation

Balestriero, R., Pesenti, J., & LeCun, Y. (2021) · arXiv

Stochastic Gradient Optimization TechniquesMachine Learning and Algorithms

Cited by 93

The Hidden Uniform Cluster Prior in Self-Supervised Learning

Assran, M., Balestriero, R., Duval, Q., Bordes, F., Misra, I., Bojanowski, P., Vincent, P., Rabbat, M., & Ballas, N. (2022) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 18

Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models

Sobal, V., Zhang, W., Cho, K., Balestriero, R., Rudner, T. G. J., & LeCun, Y. (2025) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 1

LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels

Maes, L., Lidec, Q. L., Scieur, D., LeCun, Y., & Balestriero, R. (2026) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 0