Michael Rabbat
- Papers
- 11
Cite
Notes
Only stored in your browser.
Authored papers
11V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
arXiv 2025
IntPhys 2: Benchmarking Intuitive Physics Understanding In Complex Synthetic Environments
arXiv 2025
Intuitive physics understanding emerges from self-supervised pretraining on natural videos
arXiv 2025
Towards General-Purpose Model-Free Reinforcement Learning
arXiv 2025
Revisiting Feature Prediction for Learning Visual Representations from Video
arXiv preprint 2024 2
Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping
arXiv 2024
Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces
arXiv 2024
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
CVPR 2023 1
A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale
arXiv 2023
Masked Siamese Networks for Label-Efficient Learning
arXiv 2022
Federated Learning with Partial Model Personalization
federated-learning-with-partial-model
Affiliations
Frequent co-authors
10from 11 papers
Nicolas Ballas
Mahmoud Assran
Quentin Garrido
Yann LeCun
VP & Chief AI Scientist
Adrien Bardes
Piotr Bojanowski
Yuandong Tian
DiJia Su
Emmanuel Dupoux
Florian Bordes