Michael Rabbat

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Citations	18235	12210
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Mark CoatesProfessor of Electrical Engineering, McGill UniversityVerified email at ece.mcgill.ca
Robert D NowakKeith and Jane Morgan Nosbusch Professor in ECE, Grace Wahba Professor of Data ScienceVerified email at wisc.edu
Mahmoud (Mido) AssranResearch Scientist at Meta AI (FAIR)Verified email at meta.com
Vincent GriponIMT Atlantique and Lab-STICCVerified email at imt-atlantique.fr
Konstantinos TsianosPhD, McGill UniversityVerified email at mail.mcgill.ca
Sean LawlorData Science Team Leader, Genetec IncVerified email at slawlor.com
Deniz UstebayVerified email at mail.mcgill.ca
Angelia NedichProfessor, Arizona State UniversityVerified email at asu.edu
Jarvis HauptAssociate Professor of Electrical and Computer Engineering, University of MinnesotaVerified email at umn.edu
Jun Ye (Jay) YuResearch Scientist --- OODA TechnologiesVerified email at mail.mcgill.ca
Babak FotouhiUniversity of Maryland College ParkVerified email at umd.edu
Bastien PasdeloupIMT AtlantiqueVerified email at imt-atlantique.fr
Waheed U. BajwaProfessor of Electrical & Computer Engineering and Statistics, Rutgers UniversityVerified email at rutgers.edu
Pascal FrossardEcole Polytechnique Fédérale de Lausanne, EPFLVerified email at epfl.ch
Soummya KarElectrical and Computer Engineering, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Jose M. F. MouraPhilip L. and Marsha Dowd University Professor, Carnegie Mellon UniversityVerified email at ece.cmu.edu
Mikael JohanssonProfessor of Electrical Engineering, KTHVerified email at kth.se
Naveen EluruProfessor, Civil, Envir. and Constr. Engg, University of Central FloridaVerified email at ucf.edu
Gregoire MercierCTO at eXo maKina (ex-Professor at Telecom Bretagne-Verified email at exomakina.fr
Dorina ThanouEPFLVerified email at epfl.ch

Michael Rabbat

Research Scientist at Facebook

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Machine Learning Optimization Signal Processing Distributed Computation


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	1744	2023
Distributed optimization in sensor networks M Rabbat, R Nowak Proceedings of the 3rd international symposium on Information processing in …, 2004	1096	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	1030	2010
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	921	2018
Compressed sensing for networked data J Haupt, WU Bajwa, M Rabbat, R Nowak IEEE Signal Processing Magazine 25 (2), 92-101, 2008	721	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	613	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	605	2018
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	482	2022
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	464	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	451	2019
Quantized incremental algorithms for distributed optimization MG Rabbat, RD Nowak IEEE Journal on Selected Areas in Communications 23 (4), 798-808, 2005	443	2005
Stochastic gradient push for distributed deep learning M Assran, N Loizou, N Ballas, M Rabbat International Conference on Machine Learning, 344-353, 2019	405	2019
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	394	2020
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	357	2012
Distributed average consensus with dithered quantization TC Aysal, MJ Coates, MG Rabbat IEEE transactions on Signal Processing 56 (10), 4905-4918, 2008	347	2008
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	326	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	299	2022
Self-supervised learning from images with a joint-embedding predictive architecture M Assran, Q Duval, I Misra, P Bojanowski, P Vincent, M Rabbat, Y LeCun, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	275	2023
Decentralized source localization and tracking [wireless sensor networks] MG Rabbat, RD Nowak 2004 IEEE International Conference on Acoustics, Speech, and Signal …, 2004	273	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	269	2012

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