Michael Rabbat

Computer Science · Physical Sciences

44h-index11.5kcitations252works1.32yr avg
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Research Topics

Distributed Control Multi-Agent Systems(63), Complex Network Analysis Techniques(42), Sparse and Compressive Sensing Techniques(29), Distributed Sensor Networks and Detection Algorithms(26), Stochastic Gradient Optimization Techniques(25)

Publications252 total

Parallel Stochastic Gradient-Based Planning for World Models
arXiv (Cornell University)·2026Open Access
Parallel Stochastic Gradient-Based Planning for World Models
ArXiv.org·2026Open Access
Learning Latent Action World Models In The Wild
arXiv (Cornell University)·2026Open Access
Learning Latent Action World Models In The Wild
ArXiv.org·2026Open Access
World Models Can Leverage Human Videos for Dexterous Manipulation
arXiv (Cornell University)·2025Open Access
Scalable Option Learning in High-Throughput Environments
arXiv (Cornell University)·2025Open Access
IntPhys 2: Benchmarking Intuitive Physics Understanding In Complex Synthetic Environments
arXiv (Cornell University)·2025Open Access
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
arXiv (Cornell University)·2025Open Access
Scaling Language-Free Visual Representation Learning
arXiv (Cornell University)·2025Open Access
Intuitive physics understanding emerges from self-supervised pretraining on natural videos
arXiv (Cornell University)·2025· 1 citedOpen Access
Towards General-Purpose Model-Free Reinforcement Learning
arXiv (Cornell University)·2025Open Access
MetaMorph: Multimodal Understanding and Generation via Instruction Tuning
arXiv (Cornell University)·2024· 1 citedOpen Access
Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces
arXiv (Cornell University)·2024· 1 citedOpen Access
Embracing Diversity: Interpretable Zero-shot Classification Beyond One Vector Per Class
2024· 1 citedOpen Access
Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping
arXiv (Cornell University)·2024· 6 citedOpen Access
Revisiting Feature Prediction for Learning Visual Representations from Video
arXiv (Cornell University)·2024· 10 citedOpen Access
A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale
arXiv (Cornell University)·2023Open Access
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
2023· 245 cited
DINOv2: Learning Robust Visual Features without Supervision
arXiv (Cornell University)·2023· 1.0k citedOpen Access
Green Federated Learning
arXiv (Cornell University)·2023· 15 citedOpen Access
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Frequent Co-authors

Mark Coates(11), Robert D. Nowak(7), Mahmoud Assran(5), Nicolas Ballas(5), Konstantinos I. Tsianos(5), Jure Žbontar(4), Florian Knöll(4), Anuroop Sriram(4), Matthew J. Muckley(4), Aaron Defazio(4), Nafissa Yakubova(4), C. Lawrence Zitnick(4), Michael P. Recht(4), Daniel K. Sodickson(4), Ishan Misra(3), Piotr Bojanowski(3), Yvonne W. Lui(3), Sean Lawlor(3), Armand Joulin(2), Mary Bruno(2)