Michael Rabbat
Michael Rabbat
Research Scientist at Facebook
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Cited by
Cited by
Distributed optimization in sensor networks
M Rabbat, R Nowak
Proceedings of the 3rd international symposium on Information processing in …, 2004
Gossip algorithms for distributed signal processing
AG Dimakis, S Kar, JMF Moura, MG Rabbat, A Scaglione
Proceedings of the IEEE 98 (11), 1847-1864, 2010
Dinov2: Learning robust visual features without supervision
M Oquab, T Darcet, T Moutakanni, H Vo, M Szafraniec, V Khalidov, ...
arXiv preprint arXiv:2304.07193, 2023
fastMRI: An open dataset and benchmarks for accelerated MRI
J Zbontar, F Knoll, A Sriram, T Murrell, Z Huang, MJ Muckley, A Defazio, ...
arXiv preprint arXiv:1811.08839, 2018
Compressed sensing for networked data
J Haupt, WU Bajwa, M Rabbat, R Nowak
IEEE Signal Processing Magazine 25 (2), 92-101, 2008
How land-use and urban form impact bicycle flows: Evidence from the bicycle-sharing system (BIXI) in Montreal
A Faghih-Imani, N Eluru, AM El-Geneidy, M Rabbat, U Haq
Journal of transport geography 41, 306-314, 2014
Network topology and communication-computation tradeoffs in decentralized optimization
A Nedić, A Olshevsky, MG Rabbat
Proceedings of the IEEE 106 (5), 953-976, 2018
Quantized incremental algorithms for distributed optimization
MG Rabbat, RD Nowak
IEEE Journal on Selected Areas in Communications 23 (4), 798-808, 2005
Learning graphs from data: A signal representation perspective
X Dong, D Thanou, M Rabbat, P Frossard
IEEE Signal Processing Magazine 36 (3), 44-63, 2019
Tarmac: Targeted multi-agent communication
A Das, T Gervet, J Romoff, D Batra, D Parikh, M Rabbat, J Pineau
International Conference on machine learning, 1538-1546, 2019
Stochastic gradient push for distributed deep learning
M Assran, N Loizou, N Ballas, M Rabbat
International Conference on Machine Learning, 344-353, 2019
Sustainable ai: Environmental implications, challenges and opportunities
CJ Wu, R Raghavendra, U Gupta, B Acun, N Ardalani, K Maeng, G Chang, ...
Proceedings of Machine Learning and Systems 4, 795-813, 2022
Push-sum distributed dual averaging for convex optimization
KI Tsianos, S Lawlor, MG Rabbat
2012 ieee 51st ieee conference on decision and control (cdc), 5453-5458, 2012
Distributed average consensus with dithered quantization
TC Aysal, MJ Coates, MG Rabbat
IEEE transactions on Signal Processing 56 (10), 4905-4918, 2008
fastMRI: A publicly available raw k-space and DICOM dataset of knee images for accelerated MR image reconstruction using machine learning
F Knoll, J Zbontar, A Sriram, MJ Muckley, M Bruno, A Defazio, M Parente, ...
Radiology: Artificial Intelligence 2 (1), e190007, 2020
Decentralized source localization and tracking [wireless sensor networks]
MG Rabbat, RD Nowak
2004 IEEE International Conference on Acoustics, Speech, and Signal …, 2004
Consensus-based distributed optimization: Practical issues and applications in large-scale machine learning
KI Tsianos, S Lawlor, MG Rabbat
2012 50th annual allerton conference on communication, control, and …, 2012
Masked siamese networks for label-efficient learning
M Assran, M Caron, I Misra, P Bojanowski, F Bordes, P Vincent, A Joulin, ...
European Conference on Computer Vision, 456-473, 2022
Federated learning with buffered asynchronous aggregation
J Nguyen, K Malik, H Zhan, A Yousefpour, M Rabbat, M Malek, D Huba
International Conference on Artificial Intelligence and Statistics, 3581-3607, 2022
Decentralized compression and predistribution via randomized gossiping
M Rabbat, J Haupt, A Singh, R Nowak
Proceedings of the 5th international conference on Information processing in …, 2006
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