| 2023 | CVPR | Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture. | Mahmoud Assran, Quentin Duval, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Yann LeCun, Nicolas Ballas |
| 2023 | ICLR | The hidden uniform cluster prior in self-supervised learning. | Mido Assran, Randall Balestriero, Quentin Duval, Florian Bordes, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Nicolas Ballas |
| 2023 | ICLR | Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning. | John Nguyen, Jianyu Wang, Kshitiz Malik, Maziar Sanjabi, Michael G. Rabbat |
| 2023 | ICML | Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design. | Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Michael G. Rabbat |
| 2022 | ICML | Federated Learning with Partial Model Personalization. | Krishna Pillutla, Kshitiz Malik, Abdelrahman Mohamed, Michael G. Rabbat, Maziar Sanjabi, Lin Xiao |
| 2021 | ICCV | Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. | Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael G. Rabbat |
| 2020 | ICASSP | Lookahead Converges to Stationary Points of Smooth Non-convex Functions. | Jianyu Wang, Vinayak Tantia, Nicolas Ballas, Michael G. Rabbat |
| 2020 | ICLR | SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum. | Jianyu Wang, Vinayak Tantia, Nicolas Ballas, Michael G. Rabbat |
| 2019 | ICASSP | Provably Accelerated Randomized Gossip Algorithms. | Nicolas Loizou, Michael G. Rabbat, Peter Richtrik |
| 2019 | ICML | Stochastic Gradient Push for Distributed Deep Learning. | Mahmoud Assran, Nicolas Loizou, Nicolas Ballas, Michael G. Rabbat |
| 2018 | ICASSP | A Graph-CNN for 3D Point Cloud Classification. | Yingxue Zhang, Michael G. Rabbat |
| 2017 | ICASSP | Inferring sparse graphs from smooth signals with theoretical guarantees. | Michael G. Rabbat |
| 2016 | CVPR | Efficient Large-Scale Similarity Search Using Matrix Factorization. | Ahmet Iscen, Michael G. Rabbat, Teddy Furon |
| 2016 | ICASSP | Distributed multi-sensor CPHD filter using pairwise gossiping. | Jun Ye Yu, Mark Coates, Michael G. Rabbat |
| 2015 | ICASSP | General solution and approximate implementation of the multisensor multitarget CPHD filter. | Santosh Nannuru, Mark Coates, Michael G. Rabbat, Stphane Blouin |
| 2014 | ACSSC | The ADMM algorithm for distributed averaging: Convergence rates and optimal parameter selection. | Euhanna Ghadimi, Andr Teixeira, Michael G. Rabbat, Mikael Johansson |
| 2014 | ACSSC | Detecting convoys in networks of short-ranged sensors. | Sean F. Lawlor, Michael G. Rabbat |
| 2014 | ACSSC | On the convergence of an alternating direction penalty method for nonconvex problems. | Sindri Magnsson, P. C. Weeraddana, Michael G. Rabbat, Carlo Fischione |
| 2014 | ICASSP | Cluster-based associative memories built from unreliable storage. | Franois Leduc-Primeau, Vincent Gripon, Michael G. Rabbat, Warren J. Gross |
| 2014 | ICASSP | Towards a spectral characterization of signals supported on small-world networks. | Michael G. Rabbat, Vincent Gripon |
| 2014 | ISIT | Subspace synchronization: A network-coding approach to object reconciliation. | Vitaly Skachek, Michael G. Rabbat |
| 2013 | ACSSC | Distributed underwater acoustic source localization and tracking. | Jun Ye Yu, Deniz stebay, Stphane Blouin, Michael G. Rabbat, Mark Coates |
| 2013 | CISS | Active learning of multiple source multiple destination topologies. | Pegah Sattari, Maciej Kurant, Animashree Anandkumar, Athina Markopoulou, Michael G. Rabbat |
| 2013 | ISIT | Reconstructing a graph from path traces. | Vincent Gripon, Michael G. Rabbat |
| 2013 | ITW | Maximum likelihood associative memories. | Vincent Gripon, Michael G. Rabbat |
| 2012 | ACSSC | Session MP1b: Signal processing and learning in complex systems (invited). | Michael G. Rabbat |
| 2012 | ACSSC | Convergence properties of normalized random incremental gradient algorithms for least-squares source localization. | Michael G. Rabbat, Angelia Nedic |
| 2012 | ICASSP | Graph spectral compressed sensing for sensor networks. | Xiaofan Zhu, Michael G. Rabbat |
| 2012 | ICASSP | Approximating signals supported on graphs. | Xiaofan Zhu, Michael G. Rabbat |
| 2012 | ITW | Compressing multisets using tries. | Vincent Gripon, Michael G. Rabbat, Vitaly Skachek, Warren J. Gross |
| 2011 | DCOSS | Local silencing rules for randomized gossip. | Ali Daher, Michael G. Rabbat, Vincent K. N. Lau |
| 2011 | ICASSP | RSS-based node localization in the presence of attenuating objects. | Andrea Edelstein, Xi Chen, Yunpeng Li, Michael G. Rabbat |
| 2011 | ICASSP | Distributed auxiliary particle filters using selective gossip. | Deniz stebay, Mark Coates, Michael G. Rabbat |
| 2010 | DCOSS | Fast Decentralized Averaging via Multi-scale Gossip. | Konstantinos I. Tsianos, Michael G. Rabbat |
| 2009 | DCOSS | Compressed RF Tomography for Wireless Sensor Networks: Centralized and Decentralized Approaches. | Mohammad A. Kanso, Michael G. Rabbat |
| 2009 | FUSION | Multi-hop Greedy Gossip with Eavesdropping. | Deniz stebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat |
| 2009 | ICASSP | The speed of greed: Characterizing myopic gossip through network voracity. | Deniz stebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat |
| 2008 | ACL | Learning Bigrams from Unigrams. | Xiaojin Zhu, Andrew B. Goldberg, Michael G. Rabbat, Robert D. Nowak |
| 2008 | NCA | Learning Minimum Delay Paths in Service Overlay Networks. | Hong Li, Lorne Mason, Michael G. Rabbat |
| 2007 | ICASSP | Genomic Network Tomography. | Michael G. Rabbat, Mrio A. T. Figueiredo, Robert D. Nowak |
| 2007 | IMC | Compressed network monitoring for ip and all-optical networks. | Mark Coates, Yvan Pointurier, Michael G. Rabbat |
| 2005 | ICASSP | Robust decentralized source localization via averaging. | Michael G. Rabbat, Robert D. Nowak, James A. Bucklew |
| 2005 | ICASSP | Understanding the topology of a telephone network via internally-sensed network tomography. | Michael G. Rabbat, John R. Treichler, Sally L. Wood, Michael G. Larimore |
| 2004 | ICASSP | Decentralized source localization and tracking [wireless sensor networks]. | Michael G. Rabbat, Robert D. Nowak |
| 2004 | INFOCOM | Multiple Source, Multiple Destination Network Tomography. | Michael G. Rabbat, Robert D. Nowak, Mark Coates |
| 2003 | IMC | Merging logical topologies using end-to-end measurements. | Mark Coates, Michael G. Rabbat, Robert D. Nowak |