MR
Michael Rabbat
cs.LGcs.AIcs.CVcs.DCmath.OCcs.SIphysics.soc-phstat.MLcs.MAcond-mat.stat-mech
On Valency
published · living versionsW_5352xgra·v1 · currentpublished
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
with Jure Zbontar, Florian Knoll, Anuroop Sriram, Tullie Murrell +22
1 version
Preprints & journals
90 papers in the corpus · 2009–2026H-JEPA: End-to-End Learning of Hierarchical World Models for Visual Planning2610.06805v1 · Wancong Zhang, Basile Terver, Michael Rabbat et al.2026 · 0 citationsarXiv
MJEPA: A Simple and Scalable Joint-Embedding Predictive Architecture for Audio-Visual Learning2606.25225v1 · Revant Teotia, Adrien Bardes, Michael Rabbat et al.2026 · 0 citationsarXiv
Beyond Language Modeling: An Exploration of Multimodal Pretraining2603.03276v1 · Shengbang Tong, David Fan, John Nguyen et al.2026 · 0 citationsarXiv
Parallel Stochastic Gradient-Based Planning for World Models2602.00475v1 · Michael Psenka, Michael Rabbat, Aditi Krishnapriyan et al.2026 · 0 citationsarXiv
Learning Latent Action World Models In The Wild2601.05230v2 · Quentin Garrido, Tushar Nagarajan, Basile Terver et al.2026 · 0 citationsarXiv
World Models for Learning Dexterous Hand-Object Interactions from Human Videos2512.13644v2 · Raktim Gautam Goswami, Amir Bar, David Fan et al.2025 · 0 citationsarXiv
Scalable Option Learning in High-Throughput Environments2509.00338v3 · Mikael Henaff, Scott Fujimoto, Michael Matthews et al.2025 · 0 citationsarXiv
IntPhys 2: Benchmarking Intuitive Physics Understanding In Complex Synthetic Environments2506.09849v1 · Florian Bordes, Quentin Garrido, Justine T Kao et al.2025 · 0 citationsarXiv
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning2506.09985v1 · Mido Assran, Adrien Bardes, David Fan et al.2025 · 8 citationsarXiv
Scaling Language-Free Visual Representation Learning2504.01017v1 · David Fan, Shengbang Tong, Jiachen Zhu et al.2025 · 5 citationsarXiv
Intuitive physics understanding emerges from self-supervised pretraining on natural videos2502.11831v1 · Quentin Garrido, Nicolas Ballas, Mahmoud Assran et al.2025 · 3 citationsarXiv
Towards General-Purpose Model-Free Reinforcement Learning2501.16142v1 · Scott Fujimoto, Pierluca D'Oro, Amy Zhang et al.2025 · 1 citationarXiv
MetaMorph: Multimodal Understanding and Generation via Instruction Tuning2412.14164v1 · Shengbang Tong, David Fan, Jiachen Zhu et al.2024 · 18 citationsarXiv
Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces2410.09918v3 · DiJia Su, Sainbayar Sukhbaatar, Michael Rabbat et al.2024 · 2 citationsarXiv
Embracing Diversity: Interpretable Zero-shot classification beyond one vector per class2404.16717v1 · Mazda Moayeri, Michael Rabbat, Mark Ibrahim et al.2024 · 3 citationsarXiv
Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping2402.14083v2 · Lucas Lehnert, Sainbayar Sukhbaatar, DiJia Su et al.2024 · 8 citationsarXiv
Revisiting Feature Prediction for Learning Visual Representations from Video2404.08471v1 · Adrien Bardes, Quentin Garrido, Jean Ponce et al.2024 · 17 citationsarXiv
A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale2309.06497v1 · Hao-Jun Michael Shi, Tsung-Hsien Lee, Shintaro Iwasaki et al.2023 · 0 citationsarXiv
DINOv2: Learning Robust Visual Features without Supervision2304.07193v2 · Maxime Oquab, Timoth'ee Darcet, Th'eo Moutakanni et al.2023 · 1,077 citationsarXiv
Green Federated Learning2303.14604v2 · Ashkan Yousefpour, Shen Guo, Ashish Shenoy et al.2023 · 18 citationsarXiv
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture2301.08243v3 · Mahmoud Assran, Quentin Duval, Ishan Misra et al.2023 · 451 citationsarXiv
lo-fi: distributed fine-tuning without communication2210.11948v2 · Mitchell Wortsman, Suchin Gururangan, Shen Li et al.2022 · 7 citationsarXiv
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning2210.08090v1 · John Nguyen, Jianyu Wang, Kshitiz Malik et al.2022 · 30 citationsarXiv
The Hidden Uniform Cluster Prior in Self-Supervised Learning2210.07277v1 · Mahmoud Assran, Randall Balestriero, Quentin Duval et al.2022 · 18 citationsarXiv
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning2206.15387v3 · John Nguyen, Jianyu Wang, Kshitiz Malik et al.2022 · 3 citationsInternational Conference on Learning Representations 2023
Positive Unlabeled Contrastive Learning2206.01206v3 · Anish Acharya, Sujay Sanghavi, Li Jing et al.2022 · 5 citationsarXiv
FedShuffle: Recipes for Better Use of Local Work in Federated Learning2204.13169v3 · Samuel Horv'ath, Maziar Sanjabi, Lin Xiao et al.2022 · 6 citationsarXiv
Federated Learning with Partial Model Personalization2204.03809v2 · Krishna Pillutla, Kshitiz Malik, Abdelrahman Mohamed et al.2022 · 74 citationsICML 2022: 17716-17758
Stochastic Polyak Stepsize with a Moving Target2106.11851v2 · Robert M. Gower, Aaron Defazio, Michael Rabbat2021 · 0 citationsarXiv
Federated Learning with Buffered Asynchronous Aggregation2106.06639v4 · John Nguyen, Kshitiz Malik, Hongyuan Zhan et al.2021 · 182 citationsarXiv
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples2104.13963v3 · Mahmoud Assran, Mathilde Caron, Ishan Misra et al.2021 · 98 citationsICCV 2021
Using Deep Learning to Accelerate Knee MRI at 3 T: Results of an Interchangeability Study.32755163 · Recht, Michael P, Zbontar, Jure, Sodickson, Daniel K et al.2021 · 177 citationsAJR. American journal of roentgenology. 2020;215(6):1421-1429
A Closer Look at Codistillation for Distributed Training2010.02838v2 · Shagun Sodhani, Olivier Delalleau, Mahmoud Assran et al.2020 · 5 citationsarXiv
Stability of Decentralized Gradient Descent in Open Multi-Agent Systems2009.05445v1 · Julien M. Hendrickx, Michael G. Rabbat2020 · 34 citationsarXiv
Advances in Asynchronous Parallel and Distributed Optimization2006.13838v1 · Mahmoud Assran, Arda Aytekin, Hamid Feyzmahdavian et al.2020 · 81 citationsarXiv
Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations2006.10803v2 · Mahmoud Assran, Nicolas Ballas, Lluis Castrejon et al.2020 · 6 citationsarXiv
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge.32506658 · Knoll, Florian, Murrell, Tullie, Sriram, Anuroop et al.2021 · 264 citationsMagnetic resonance in medicine. 2020;84(6):3054-3070
On the Convergence of Nesterov's Accelerated Gradient Method in Stochastic Settings2002.12414v2 · Mahmoud Assran, Michael Rabbat2020 · 17 citationsInternational Conference on Machine Learning (ICML 2020)
fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning.32076662 · Knoll, Florian, Zbontar, Jure, Sriram, Anuroop et al.2021 · 416 citationsRadiology. Artificial intelligence. 2020;2(1):e190007
SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum1910.00643v2 · Jianyu Wang, Vinayak Tantia, Nicolas Ballas et al.2019 · 90 citationsarXiv
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning1906.04585v2 · Mahmoud Assran, Joshua Romoff, Nicolas Ballas et al.2019 · 26 citationsAdvances in Neural Information Processing Systems (2019) 13299-13309
Effectiveness of Alter Sampling in Social Networks1812.03096v2 · Naghmeh Momeni, Michael G. Rabbat2018 · 2 citationsarXiv
A Graph-CNN for 3D Point Cloud Classification1812.01711v1 · Yingxue Zhang, Michael Rabbat2018 · 180 citationsarXiv
Stochastic Gradient Push for Distributed Deep Learning1811.10792v3 · Mahmoud Assran, Nicolas Loizou, Nicolas Ballas et al.2018 · 228 citationsInternational Conference on Machine Learning 97 (2019) 344-353
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI1811.08839v2 · Jure Zbontar, Florian Knoll, Anuroop Sriram et al.2018 · 587 citationsarXivon Valency
Provably Accelerated Randomized Gossip Algorithms1810.13084v1 · Nicolas Loizou, Michael Rabbat, Peter Richt'arik2018 · 19 citationsarXiv
TarMAC: Targeted Multi-Agent Communication1810.11187v2 · Abhishek Das, Th'eophile Gervet, Joshua Romoff et al.2018 · 231 citationsarXiv
Learning graphs from data: A signal representation perspective1806.00848v3 · Xiaowen Dong, Dorina Thanou, Michael Rabbat et al.2018 · 407 citationsarXiv
Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization1709.08765v2 · Angelia Nedi'c, Alex Olshevsky, Michael G. Rabbat2017 · 535 citationsarXiv
Inferring Structural Characteristics of Networks with Strong and Weak Ties from Fixed-Choice Surveys1706.07828v1 · Naghmeh Momeni, Michael Rabbat2017 · 1 citationarXiv
Career total: 222 works. 90 are in this corpus.Showing the 50 most recent.
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