Michael G. Rabbat

209 papers A* 11A 2B 8C 2Misc 18Journal 119Unranked 49

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Revisiting Feature Prediction for Learning Visual Representations from Video. CoRR Adrien Bardes, Quentin Garrido, Jean Ponce, Xinlei Chen, Michael G. Rabbat, Yann LeCun, Mahmoud Assran, Nicolas Ballas
2023	J	`jnl`	DINOv2: Learning Robust Visual Features without Supervision. CoRR Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mahmoud Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-wen Li, Ishan Misra, Michael G. Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski
2023	J	`jnl`	Green Federated Learning. CoRR Ashkan Yousefpour, Shen Guo, Ashish Shenoy, Sayan Ghosh, Pierre Stock, Kiwan Maeng, Schalk-Willem Krüger, Michael G. Rabbat, Carole-Jean Wu, Ilya Mironov
2023	A*	`conf`	Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design. ICML Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Michael G. Rabbat
2023	A*	`conf`	Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture. CVPR Mahmoud Assran, Quentin Duval, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Yann LeCun, Nicolas Ballas
2023	J	`jnl`	Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture. CoRR Mahmoud Assran, Quentin Duval, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Yann LeCun, Nicolas Ballas
2023	A*	`conf`	The hidden uniform cluster prior in self-supervised learning. ICLR Mido Assran, Randall Balestriero, Quentin Duval, Florian Bordes, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Nicolas Ballas
2023	A*	`conf`	Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning. ICLR John Nguyen, Jianyu Wang, Kshitiz Malik, Maziar Sanjabi, Michael G. Rabbat
2023	J	`jnl`	lo-fi: distributed fine-tuning without communication. Trans. Mach. Learn. Res. Mitchell Wortsman, Suchin Gururangan, Shen Li, Ali Farhadi, Ludwig Schmidt, Michael G. Rabbat, Ari S. Morcos
2022	J	`jnl`	FedShuffle: Recipes for Better Use of Local Work in Federated Learning. CoRR Samuel Horváth, Maziar Sanjabi, Lin Xiao, Peter Richtárik, Michael G. Rabbat
2022	J	`jnl`	FedShuffle: Recipes for Better Use of Local Work in Federated Learning. Trans. Mach. Learn. Res. Samuel Horváth, Maziar Sanjabi, Lin Xiao, Peter Richtárik, Michael G. Rabbat
2022	A*	`conf`	Federated Learning with Partial Model Personalization. ICML Krishna Pillutla, Kshitiz Malik, Abdelrahman Mohamed, Michael G. Rabbat, Maziar Sanjabi, Lin Xiao
2022	J	`jnl`	Federated Learning with Partial Model Personalization. CoRR Krishna Pillutla, Kshitiz Malik, Abdelrahman Mohamed, Michael G. Rabbat, Maziar Sanjabi, Lin Xiao
2022	J	`jnl`	Masked Siamese Networks for Label-Efficient Learning. CoRR Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Michael G. Rabbat, Nicolas Ballas
2022	J	`jnl`	Positive Unlabeled Contrastive Learning. CoRR Anish Acharya, Sujay Sanghavi, Li Jing, Bhargav Bhushanam, Dhruv Choudhary, Michael G. Rabbat, Inderjit S. Dhillon
2022	J	`jnl`	The Hidden Uniform Cluster Prior in Self-Supervised Learning. CoRR Mahmoud Assran, Randall Balestriero, Quentin Duval, Florian Bordes, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Nicolas Ballas
2022	J	`jnl`	Where to Begin? Exploring the Impact of Pre-Training and Initialization in Federated Learning. CoRR John Nguyen, Kshitiz Malik, Maziar Sanjabi, Michael G. Rabbat
2022	J	`jnl`	Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning. CoRR John Nguyen, Jianyu Wang, Kshitiz Malik, Maziar Sanjabi, Michael G. Rabbat
2022	J	`jnl`	lo-fi: distributed fine-tuning without communication. CoRR Mitchell Wortsman, Suchin Gururangan, Shen Li, Ali Farhadi, Ludwig Schmidt, Michael G. Rabbat, Ari S. Morcos
2021	J	`jnl`	Asynchronous Gradient Push. IEEE Trans. Autom. Control. Mahmoud Assran, Michael G. Rabbat
2021	J	`jnl`	Federated Learning with Buffered Asynchronous Aggregation. CoRR John Nguyen, Kshitiz Malik, Hongyuan Zhan, Ashkan Yousefpour, Michael G. Rabbat, Mani Malek, Dzmitry Huba
2021	A*	`conf`	Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. ICCV Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael G. Rabbat
2021	J	`jnl`	Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. CoRR Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael G. Rabbat
2021	J	`jnl`	Stochastic Polyak Stepsize with a Moving Target. CoRR Robert M. Gower, Aaron Defazio, Michael G. Rabbat
2020	J	`jnl`	A Closer Look at Codistillation for Distributed Training. CoRR Shagun Sodhani, Olivier Delalleau, Mahmoud Assran, Koustuv Sinha, Nicolas Ballas, Michael G. Rabbat
2020	J	`jnl`	Advances in Asynchronous Parallel and Distributed Optimization. CoRR Mahmoud Assran, Arda Aytekin, Hamid Reza Feyzmahdavian, Mikael Johansson, Michael G. Rabbat
2020	J	`jnl`	Advances in Asynchronous Parallel and Distributed Optimization. Proc. IEEE Mahmoud Assran, Arda Aytekin, Hamid Reza Feyzmahdavian, Mikael Johansson, Michael G. Rabbat
2020	J	`jnl`	Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge. CoRR Florian Knoll, Tullie Murrell, Anuroop Sriram, Nafissa Yakubova, Jure Zbontar, Michael G. Rabbat, Aaron Defazio, Matthew J. Muckley, Daniel K. Sodickson, C. Lawrence Zitnick, Michael P. Recht
2020	Misc	`conf`	Lookahead Converges to Stationary Points of Smooth Non-convex Functions. ICASSP Jianyu Wang, Vinayak Tantia, Nicolas Ballas, Michael G. Rabbat
2020	J	`jnl`	On the Convergence of Nesterov's Accelerated Gradient Method in Stochastic Settings. CoRR Mahmoud Assran, Michael G. Rabbat
2020	J	`jnl`	Optimization for Data-Driven Learning and Control. Proc. IEEE Usman A. Khan, Waheed U. Bajwa, Angelia Nedic, Michael G. Rabbat, Ali H. Sayed
2020	J	`jnl`	Recovering Petaflops in Contrastive Semi-Supervised Learning of Visual Representations. CoRR Mahmoud Assran, Nicolas Ballas, Lluís Castrejón, Michael G. Rabbat
2020	A*	`conf`	SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum. ICLR Jianyu Wang, Vinayak Tantia, Nicolas Ballas, Michael G. Rabbat
2020	—	`conf`	Stability of Decentralized Gradient Descent in Open Multi-Agent Systems. CDC Julien M. Hendrickx, Michael G. Rabbat
2020	J	`jnl`	Stability of Decentralized Gradient Descent in Open Multi-Agent Systems. CoRR Julien M. Hendrickx, Michael G. Rabbat
2019	J	`jnl`	Graph-Based Compression for Distributed Particle Filters. IEEE Trans. Signal Inf. Process. over Networks Jun Ye Yu, Mark J. Coates, Michael G. Rabbat
2019	J	`jnl`	Improved Bounds for Max Consensus in Wireless Networks. IEEE Trans. Signal Inf. Process. over Networks Aida Nowzari, Michael G. Rabbat
2019	J	`jnl`	Learning Graphs From Data: A Signal Representation Perspective. IEEE Signal Process. Mag. Xiaowen Dong, Dorina Thanou, Michael G. Rabbat, Pascal Frossard
2019	Misc	`conf`	Provably Accelerated Randomized Gossip Algorithms. ICASSP Nicolas Loizou, Michael G. Rabbat, Peter Richtárik
2019	J	`jnl`	SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum. CoRR Jianyu Wang, Vinayak Tantia, Nicolas Ballas, Michael G. Rabbat
2019	A*	`conf`	Stochastic Gradient Push for Distributed Deep Learning. ICML Mahmoud Assran, Nicolas Loizou, Nicolas Ballas, Michael G. Rabbat
2018	Misc	`conf`	A Graph-CNN for 3D Point Cloud Classification. ICASSP Yingxue Zhang, Michael G. Rabbat
2018	J	`jnl`	A Graph-CNN for 3D Point Cloud Classification. CoRR Yingxue Zhang, Michael G. Rabbat
2018	J	`jnl`	Asynchronous Subgradient-Push. CoRR Mahmoud Assran, Michael G. Rabbat
2018	J	`jnl`	Characterization and Inference of Graph Diffusion Processes From Observations of Stationary Signals. IEEE Trans. Signal Inf. Process. over Networks Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier, Dominique Pastor, Michael G. Rabbat
2018	J	`jnl`	Effectiveness of Alter Sampling in Social Networks. CoRR Naghmeh Momeni, Michael G. Rabbat
2018	J	`jnl`	Learning Graphs from Data: A Signal Representation Perspective. CoRR Xiaowen Dong, Dorina Thanou, Michael G. Rabbat, Pascal Frossard
2018	J	`jnl`	Memory Vectors for Similarity Search in High-Dimensional Spaces. IEEE Trans. Big Data Ahmet Iscen, Teddy Furon, Vincent Gripon, Michael G. Rabbat, Hervé Jégou
2018	J	`jnl`	Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization. Proc. IEEE Angelia Nedic, Alex Olshevsky, Michael G. Rabbat
2018	J	`jnl`	Provably Accelerated Randomized Gossip Algorithms. CoRR Nicolas Loizou, Michael G. Rabbat, Peter Richtárik
2018	J	`jnl`	Stochastic Gradient Push for Distributed Deep Learning. CoRR Mahmoud Assran, Nicolas Loizou, Nicolas Ballas, Michael G. Rabbat
2018	J	`jnl`	TarMAC: Targeted Multi-Agent Communication. CoRR Abhishek Das, Théophile Gervet, Joshua Romoff, Dhruv Batra, Devi Parikh, Michael G. Rabbat, Joelle Pineau
2018	J	`jnl`	Temporal evolution of the degree distribution of alters in growing networks. Netw. Sci. Babak Fotouhi, Michael G. Rabbat
2018	J	`jnl`	fastMRI: An Open Dataset and Benchmarks for Accelerated MRI. CoRR Jure Zbontar, Florian Knoll, Anuroop Sriram, Matthew J. Muckley, Mary Bruno, Aaron Defazio, Marc Parente, Krzysztof J. Geras, Joe Katsnelson, Hersh Chandarana, Zizhao Zhang, Michal Drozdzal, Adriana Romero, Michael G. Rabbat, Pascal Vincent, James Pinkerton, Duo Wang, Nafissa Yakubova, Erich Owens, C. Lawrence Zitnick, Michael P. Recht, Daniel K. Sodickson, Yvonne W. Lui
2017	J	`jnl`	A Multisensor Multi-Bernoulli Filter. IEEE Trans. Signal Process. Augustin-Alexandru Saucan, Mark J. Coates, Michael G. Rabbat
2017	—	`conf`	Algorithms for the multi-sensor assignment problem in the δ-generalized labeled multi-Bernoulli filter. CAMSAP Jun Ye Yu, Augustin-Alexandru Saucan, Mark Coates, Michael G. Rabbat
2017	—	`conf`	An empirical comparison of multi-agent optimization algorithms. GlobalSIP Mahmoud Assran, Michael G. Rabbat
2017	J	`jnl`	Cooperative Special Issue on Graph Signal Processing in the IEEE Journal of Selected Topics in Signal Processing and the IEEE Transactions on Signal and Information Processing Over Networks. IEEE Trans. Signal Inf. Process. over Networks Pascal Frossard, Pier Luigi Dragotti, Antonio Ortega, Michael G. Rabbat, Alejandro Ribeiro
2017	J	`jnl`	Inferring Structural Characteristics of Networks With Strong and Weak Ties From Fixed-Choice Surveys. IEEE Trans. Signal Inf. Process. over Networks Naghmeh Momeni, Michael G. Rabbat
2017	J	`jnl`	Inferring Structural Characteristics of Networks with Strong and Weak Ties from Fixed-Choice Surveys. CoRR Naghmeh Momeni, Michael G. Rabbat
2017	Misc	`conf`	Inferring sparse graphs from smooth signals with theoretical guarantees. ICASSP Michael G. Rabbat
2017	J	`jnl`	Introduction to the IEEE Journal on Selected Topics in Signal Processing and IEEE Transactions on Signal and Information Processing Over Networks Joint Special Issue on Graph Signal Processing. IEEE J. Sel. Top. Signal Process. Pascal Frossard, Pier Luigi Dragotti, Antonio Ortega, Michael G. Rabbat, Alejandro Ribeiro
2017	J	`jnl`	Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization. CoRR Angelia Nedic, Alex Olshevsky, Michael G. Rabbat
2017	J	`jnl`	Time-Varying Mixtures of Markov Chains: An Application to Road Traffic Modeling. IEEE Trans. Signal Process. Sean F. Lawlor, Michael G. Rabbat
2016	J	`jnl`	A Distributed Particle Filter for Bearings-Only Tracking on Spherical Surfaces. IEEE Signal Process. Lett. Jun Ye Yu, Mark J. Coates, Michael G. Rabbat, Stéphane Blouin
2016	J	`jnl`	Characterization and inference of weighted graph topologies from observations of diffused signals. CoRR Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier, Dominique Pastor, Michael G. Rabbat
2016	J	`jnl`	Detecting Convoys Using License Plate Recognition Data. IEEE Trans. Signal Inf. Process. over Networks Sean F. Lawlor, Timothy Sider, Naveen Eluru, Marianne Hatzopoulou, Michael G. Rabbat
2016	J	`jnl`	Distributed Finite-Time Computation of Digraph Parameters: Left-Eigenvector, Out-Degree and Spectrum. IEEE Trans. Control. Netw. Syst. Themistoklis Charalambous, Michael G. Rabbat, Mikael Johansson, Christoforos N. Hadjicostis
2016	Misc	`conf`	Distributed multi-sensor CPHD filter using pairwise gossiping. ICASSP Jun Ye Yu, Mark Coates, Michael G. Rabbat
2016	J	`jnl`	Efficient Distributed Online Prediction and Stochastic Optimization With Approximate Distributed Averaging. IEEE Trans. Signal Inf. Process. over Networks Konstantinos I. Tsianos, Michael G. Rabbat
2016	A*	`conf`	Efficient Large-Scale Similarity Search Using Matrix Factorization. CVPR Ahmet Iscen, Michael G. Rabbat, Teddy Furon
2016	—	`conf`	Estimation of time-varying mixture models: An application to traffic estimation. SSP Sean F. Lawlor, Michael G. Rabbat
2016	J	`jnl`	Fault-Tolerant Associative Memories Based on c-Partite Graphs. IEEE Trans. Signal Process. François Leduc-Primeau, Vincent Gripon, Michael G. Rabbat, Warren J. Gross
2016	—	`conf`	Graph Laplacian distributed particle filtering. EUSIPCO Michael G. Rabbat, Mark Coates, Stéphane Blouin
2016	J	`jnl`	Graph reconstruction from the observation of diffused signals. CoRR Bastien Pasdeloup, Michael G. Rabbat, Vincent Gripon, Dominique Pastor, Grégoire Mercier
2016	—	`conf`	Inferring network properties from fixed-choice design with strong and weak ties. SSP Naghmeh Momeni, Michael G. Rabbat
2016	J	`jnl`	Multisensor CPHD filter. IEEE Trans. Aerosp. Electron. Syst. Santosh Nannuru, Stéphane Blouin, Mark Coates, Michael G. Rabbat
2016	J	`jnl`	On reconstructability of quadratic utility functions from the iterations in gradient methods. Autom. Farhad Farokhi, Iman Shames, Michael G. Rabbat, Mikael Johansson
2016	J	`jnl`	On the Convergence of Alternating Direction Lagrangian Methods for Nonconvex Structured Optimization Problems. IEEE Trans. Control. Netw. Syst. Sindri Magnússon, Pradeep Chathuranga Weeraddana, Michael G. Rabbat, Carlo Fischione
2016	J	`jnl`	Qualities and Inequalities in Online Social Networks through the Lens of the Generalized Friendship Paradox. CoRR Naghmeh Momeni, Michael G. Rabbat
2016	J	`jnl`	Storing Sequences in Binary Tournament-Based Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Xiaoran Jiang, Vincent Gripon, Claude Berrou, Michael G. Rabbat
2016	—	`conf`	Totally asynchronous distributed estimation of eigenvector centrality in digraphs with application to the PageRank problem. CDC Themistoklis Charalambous, Christoforos N. Hadjicostis, Michael G. Rabbat, Mikael Johansson
2015	J	`jnl`	Error Propagation in Gossip-Based Distributed Particle Filters. IEEE Trans. Signal Inf. Process. over Networks Syamantak Datta Gupta, Mark Coates, Michael G. Rabbat
2015	Misc	`conf`	General solution and approximate implementation of the multisensor multitarget CPHD filter. ICASSP Santosh Nannuru, Mark Coates, Michael G. Rabbat, Stéphane Blouin
2015	—	`conf`	Graph reconstruction from the observation of diffused signals. Allerton Bastien Pasdeloup, Michael G. Rabbat, Vincent Gripon, Dominique Pastor, Grégoire Mercier
2015	—	`conf`	Measuring the Generalized Friendship Paradox in Networks with Quality-Dependent Connectivity. CompleNet Naghmeh Momeni, Michael G. Rabbat
2015	—	`conf`	Multi-agent mirror descent for decentralized stochastic optimization. CAMSAP Michael G. Rabbat
2015	J	`jnl`	On Reconstructability of Quadratic Utility Functions from the Iterations in Gradient Methods. CoRR Farhad Farokhi, Iman Shames, Michael G. Rabbat, Mikael Johansson
2015	—	`conf`	Particle weight approximation with clustering for gossip-based distributed particle filters. CAMSAP Chon-Wang Chao, Michael G. Rabbat, Stéphane Blouin
2015	—	`conf`	Performance investigation on constraint sufficient statistics distributed particle filter. CCECE Jun Ye Yu, Michael G. Rabbat, Mark Coates, Stéphane Blouin
2015	J	`jnl`	Toward An Uncertainty Principle For Weighted Graphs. CoRR Bastien Pasdeloup, Réda Alami, Vincent Gripon, Michael G. Rabbat
2015	—	`conf`	Toward an uncertainty principle for weighted graphs. EUSIPCO Bastien Pasdeloup, Réda Alami, Vincent Gripon, Michael G. Rabbat
2014	—	`conf`	A GPU-based associative memory using sparse Neural Networks. HPCS Zhe Yao, Vincent Gripon, Michael G. Rabbat
2014	J	`jnl`	Active Learning of Multiple Source Multiple Destination Topologies. IEEE Trans. Signal Process. Pegah Sattari, Maciej Kurant, Animashree Anandkumar, Athina Markopoulou, Michael G. Rabbat
2014	—	`conf`	Asynchronous decentralized optimization in heterogeneous systems. CDC Michael G. Rabbat, Konstantinos I. Tsianos
2014	Misc	`conf`	Cluster-based associative memories built from unreliable storage. ICASSP François Leduc-Primeau, Vincent Gripon, Michael G. Rabbat, Warren J. Gross
2014	J	`jnl`	Combating Corrupt Messages in Sparse Clustered Associative Memories. CoRR Zhe Yao, Vincent Gripon, Michael G. Rabbat
2014	Misc	`conf`	Detecting convoys in networks of short-ranged sensors. ACSSC Sean F. Lawlor, Michael G. Rabbat
2014	J	`jnl`	Efficient Distributed Online Prediction and Stochastic Optimization with Approximate Distributed Averaging. CoRR Konstantinos I. Tsianos, Michael G. Rabbat
2014	—	`conf`	Generalized Friendship Paradox: An Analytical Approach. SocInfo Workshops Babak Fotouhi, Naghmeh Momeni, Michael G. Rabbat
2014	J	`jnl`	Generalized Friendship Paradox: An Analytical Approach. CoRR Babak Fotouhi, Naghmeh Momeni, Michael G. Rabbat
2014	J	`jnl`	Introduction to the Special Issue on Non-Cooperative Localization Networks. IEEE J. Sel. Top. Signal Process. R. Michael Buehrer, Christopher Robert Anderson, Richard K. Martin, Neal Patwari, Michael G. Rabbat
2014	J	`jnl`	Measuring the Generalized Friendship Paradox in Networks with Quality-dependent Connectivity. CoRR Naghmeh Momeni, Michael G. Rabbat
2014	J	`jnl`	Memory vectors for similarity search in high-dimensional spaces. CoRR Ahmet Iscen, Teddy Furon, Vincent Gripon, Michael G. Rabbat, Hervé Jégou
2014	Misc	`conf`	On the convergence of an alternating direction penalty method for nonconvex problems. ACSSC Sindri Magnússon, P. C. Weeraddana, Michael G. Rabbat, Carlo Fischione
2014	—	`conf`	Sparse binary matrices as efficient associative memories. Allerton Vincent Gripon, Vitaly Skachek, Michael G. Rabbat
2014	J	`jnl`	Storing sequences in binary tournament-based neural networks. CoRR Xiaoran Jiang, Vincent Gripon, Claude Berrou, Michael G. Rabbat
2014	B	`conf`	Subspace synchronization: A network-coding approach to object reconciliation. ISIT Vitaly Skachek, Michael G. Rabbat
2014	Misc	`conf`	The ADMM algorithm for distributed averaging: Convergence rates and optimal parameter selection. ACSSC Euhanna Ghadimi, André Teixeira, Michael G. Rabbat, Mikael Johansson
2014	Misc	`conf`	Towards a spectral characterization of signals supported on small-world networks. ICASSP Michael G. Rabbat, Vincent Gripon
2014	—	`conf`	Tradeoffs for task parallelization in distributed optimization. MLSP Konstantinos I. Tsianos, Anand D. Sarwate, Michael G. Rabbat
2013	J	`jnl`	A Massively Parallel Associative Memory Based on Sparse Neural Networks CoRR Zhe Yao, Vincent Gripon, Michael G. Rabbat
2013	Misc	`conf`	Active learning of multiple source multiple destination topologies. CISS Pegah Sattari, Maciej Kurant, Animashree Anandkumar, Athina Markopoulou, Michael G. Rabbat
2013	J	`jnl`	Background Subtraction for Online Calibration of Baseline RSS in RF Sensing Networks. IEEE Trans. Mob. Comput. Andrea Edelstein, Michael G. Rabbat
2013	J	`jnl`	Bounds on associative memories CoRR Vincent Gripon, Michael G. Rabbat
2013	J	`jnl`	Broadcast Gossip Algorithms for Consensus on Strongly Connected Digraphs. IEEE Trans. Signal Process. Shaochuan Wu, Michael G. Rabbat
2013	—	`conf`	Consensus-based distributed online prediction and optimization. GlobalSIP Konstantinos I. Tsianos, Michael G. Rabbat
2013	J	`jnl`	Degree Correlation in Scale-Free Graphs. CoRR Babak Fotouhi, Michael G. Rabbat
2013	Misc	`conf`	Distributed underwater acoustic source localization and tracking. ACSSC Jun Ye Yu, Deniz Üstebay, Stéphane Blouin, Michael G. Rabbat, Mark Coates
2013	J	`jnl`	Improving Sparse Associative Memories by Escaping from Bogus Fixed Points. CoRR Zhe Yao, Vincent Gripon, Michael G. Rabbat
2013	B	`conf`	Maximum likelihood associative memories. ITW Vincent Gripon, Michael G. Rabbat
2013	J	`jnl`	Multiscale Gossip for Efficient Decentralized Averaging in Wireless Packet Networks. IEEE Trans. Signal Process. Konstantinos I. Tsianos, Michael G. Rabbat
2013	—	`conf`	Networked optimization with adaptive communication. GlobalSIP Konstantinos I. Tsianos, Sean F. Lawlor, Jun Ye Yu, Michael G. Rabbat
2013	—	`conf`	Performance comparison of randomized gossip, broadcast gossip and collection tree protocol for distributed averaging. CAMSAP Jun Ye Yu, Michael G. Rabbat
2013	J	`jnl`	Reconstructing a Graph from Path Traces CoRR Vincent Gripon, Michael G. Rabbat
2013	B	`conf`	Reconstructing a graph from path traces. ISIT Vincent Gripon, Michael G. Rabbat
2013	—	`conf`	Simple iteration-optimal distributed optimization. EUSIPCO Konstantinos I. Tsianos, Michael G. Rabbat
2013	—	`conf`	Sparse structured associative memories as efficient set-membership data structures. Allerton Vincent Gripon, Vitaly Skachek, Michael G. Rabbat
2013	J	`jnl`	The Effect of Exogenous Inputs and Defiant Agents on Opinion Dynamics With Local and Global Interactions. IEEE J. Sel. Top. Signal Process. Babak Fotouhi, Michael G. Rabbat
2013	J	`jnl`	Voter Model with Arbitrary Degree Dependence: Clout, Confidence and Irreversibility. CoRR Babak Fotouhi, Michael G. Rabbat
2012	J	`jnl`	Active Learning of Multiple Source Multiple Destination Topologies CoRR Pegah Sattari, Maciej Kurant, Animashree Anandkumar, Athina Markopoulou, Michael G. Rabbat
2012	J	`jnl`	Anomaly Detection Using Proximity Graph and PageRank Algorithm. IEEE Trans. Inf. Forensics Secur. Zhe Yao, Philip Mark, Michael G. Rabbat
2012	Misc	`conf`	Approximating signals supported on graphs. ICASSP Xiaofan Zhu, Michael G. Rabbat
2012	J	`jnl`	Background Subtraction for Online Calibration of Baseline RSS in RF Sensing Networks CoRR Andrea Edelstein, Michael G. Rabbat
2012	—	`conf`	Bounded confidence opinion dynamics with network constraints and localized distributed averaging. SSP Michael G. Rabbat
2012	J	`jnl`	Broadcast Gossip Algorithms for Consensus on Strongly Connected Digraphs CoRR Shaochuan Wu, Michael G. Rabbat
2012	J	`jnl`	Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization CoRR Konstantinos I. Tsianos, Sean F. Lawlor, Michael G. Rabbat
2012	—	`conf`	Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization. NIPS Konstantinos I. Tsianos, Sean F. Lawlor, Michael G. Rabbat
2012	B	`conf`	Compressing multisets using tries. ITW Vincent Gripon, Michael G. Rabbat, Vitaly Skachek, Warren J. Gross
2012	—	`conf`	Consensus-based distributed optimization: Practical issues and applications in large-scale machine learning. Allerton Conference Konstantinos I. Tsianos, Sean F. Lawlor, Michael G. Rabbat
2012	—	`conf`	Convergence properties of normalized random incremental gradient algorithms for least-squares source localization. ACSCC Michael G. Rabbat, Angelia Nedic
2012	—	`conf`	Data aggregation in wireless sensor networks: A comparison of collection tree protocols and gossip algorithms. CCECE Bassel Hakoura, Michael G. Rabbat
2012	J	`jnl`	Directed by Directionality: Benefiting from the Gain Pattern of Active RFID Badges. IEEE Trans. Mob. Comput. Yang Zhao, Neal Patwari, Piyush Agrawal, Michael G. Rabbat
2012	J	`jnl`	Distributed Strongly Convex Optimization CoRR Konstantinos I. Tsianos, Michael G. Rabbat
2012	C	`conf`	Distributed dual averaging for convex optimization under communication delays. ACC Konstantinos I. Tsianos, Michael G. Rabbat
2012	—	`conf`	Distributed strongly convex optimization. Allerton Conference Konstantinos I. Tsianos, Michael G. Rabbat
2012	J	`jnl`	Dynamics of Infuence on Hierarchical Structures: Towards the Statistical Mechanics of Social Class Struggle CoRR Babak Fotouhi, Michael G. Rabbat
2012	—	`conf`	Efficiently reaching consensus on the largest entries of a vector. CDC Deniz Üstebay, Michael G. Rabbat
2012	J	`jnl`	Forwarding Without Repeating: Efficient Rumor Spreading in Bounded-Degree Graphs CoRR Vincent Gripon, Vitaly Skachek, Michael G. Rabbat
2012	J	`jnl`	GANC: Greedy agglomerative normalized cut for graph clustering. Pattern Recognit. Seyed Salim Tabatabaei, Mark Coates, Michael G. Rabbat
2012	J	`jnl`	GSGS: A Computational Approach to Reconstruct Signaling Pathway Structures from Gene Sets. IEEE ACM Trans. Comput. Biol. Bioinform. Lipi R. Acharya, Thair Judeh, Zhansheng Duan, Michael G. Rabbat, Dongxiao Zhu
2012	Misc	`conf`	Graph spectral compressed sensing for sensor networks. ICASSP Xiaofan Zhu, Michael G. Rabbat
2012	J	`jnl`	Growing a Network on a Given Substrate CoRR Babak Fotouhi, Michael G. Rabbat
2012	—	`conf`	Growing a network on a given substrate. Allerton Conference Babak Fotouhi, Michael G. Rabbat
2012	J	`jnl`	Migration in a Small World: A Network Approach to Modeling Immigration Processes CoRR Babak Fotouhi, Michael G. Rabbat
2012	—	`conf`	Migration in a small world: A network approach to modeling immigration processes. Allerton Conference Babak Fotouhi, Michael G. Rabbat
2012	J	`jnl`	Network Growth with Arbitrary Initial Conditions: Analytical Results for Uniform and Preferential Attachment CoRR Babak Fotouhi, Michael G. Rabbat
2012	—	`conf`	Push-Sum Distributed Dual Averaging for convex optimization. CDC Konstantinos I. Tsianos, Sean F. Lawlor, Michael G. Rabbat
2012	—	`conf`	Random clique codes. ISTC Vincent Gripon, Vitaly Skachek, Warren J. Gross, Michael G. Rabbat
2012	—	`conf`	Session MP1b: Signal processing and learning in complex systems (invited). ACSCC Michael G. Rabbat
2012	—	`conf`	TOP-K selective gossip. SPAWC Deniz Üstebay, Michael G. Rabbat
2012	J	`jnl`	The Effect of Exogenous Inputs and Defiant Agents on Opinion Dynamics with Local and Global Interactions CoRR Babak Fotouhi, Michael G. Rabbat
2012	J	`jnl`	The Impact of Communication Delays on Distributed Consensus Algorithms CoRR Konstantinos I. Tsianos, Michael G. Rabbat
2011	—	`conf`	A correlation model for shadow fading in multi-hop wireless networks. SpringSim (ANSS) Wen Qin, Michael G. Rabbat, Bo Yang
2011	J	`jnl`	Cross-Layer Monitoring in Transparent Optical Networks. JOCN Yvan Pointurier, Mark Coates, Michael G. Rabbat
2011	Misc	`conf`	Distributed auxiliary particle filters using selective gossip. ICASSP Deniz Üstebay, Mark Coates, Michael G. Rabbat
2011	—	`conf`	Distributed consensus and optimization under communication delays. Allerton Konstantinos I. Tsianos, Michael G. Rabbat
2011	J	`jnl`	Efficient Decentralized Approximation via Selective Gossip. IEEE J. Sel. Top. Signal Process. Deniz Üstebay, Rui M. Castro, Michael G. Rabbat
2011	J	`jnl`	GANC: Greedy Agglomerative Normalized Cut CoRR Seyed Salim Tabatabaei, Mark Coates, Michael G. Rabbat
2011	J	`jnl`	Large scale probabilistic available bandwidth estimation. Comput. Networks Frederic Thouin, Mark Coates, Michael G. Rabbat
2011	B	`conf`	Local silencing rules for randomized gossip. DCOSS Ali Daher, Michael G. Rabbat, Vincent K. N. Lau
2011	Misc	`conf`	RSS-based node localization in the presence of attenuating objects. ICASSP Andrea Edelstein, Xi Chen, Yunpeng Li, Michael G. Rabbat
2011	—	`conf`	Sequential Monte Carlo for simultaneous passive device-free tracking and sensor localization using received signal strength measurements. IPSN Xi Chen, Andrea Edelstein, Yunpeng Li, Mark Coates, Michael G. Rabbat, Aidong Men
2010	B	`conf`	Fast Decentralized Averaging via Multi-scale Gossip. DCOSS Konstantinos I. Tsianos, Michael G. Rabbat
2010	J	`jnl`	Gossip Algorithms for Distributed Signal Processing CoRR Alexandros G. Dimakis, Soummya Kar, José M. F. Moura, Michael G. Rabbat, Anna Scaglione
2010	J	`jnl`	Gossip Algorithms for Distributed Signal Processing. Proc. IEEE Alexandros G. Dimakis, Soummya Kar, José M. F. Moura, Michael G. Rabbat, Anna Scaglione
2010	J	`jnl`	Greedy gossip with eavesdropping. IEEE Trans. Signal Process. Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
2010	J	`jnl`	Large scale probabilistic available bandwidth estimation CoRR Frederic Thouin, Mark Coates, Michael G. Rabbat
2010	J	`jnl`	Multi-path Probabilistic Available Bandwidth Estimation through Bayesian Active Learning CoRR Frederic Thouin, Mark Coates, Michael G. Rabbat
2010	J	`jnl`	Multiscale Gossip for Efficient Decentralized Averaging in Wireless Packet Networks CoRR Konstantinos I. Tsianos, Michael G. Rabbat
2010	J	`jnl`	Optimization and analysis of distributed averaging with short node memory. IEEE Trans. Signal Process. Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
2010	J	`jnl`	Real-Time Multi-path Tracking of Probabilistic Available Bandwidth CoRR Frederic Thouin, Mark Coates, Michael G. Rabbat
2009	B	`conf`	Compressed RF Tomography for Wireless Sensor Networks: Centralized and Decentralized Approaches. DCOSS Mohammad A. Kanso, Michael G. Rabbat
2009	J	`jnl`	Distributed adaptive diverse routing for voice-over-IP in service overlay networks. IEEE Trans. Netw. Serv. Manag. Hong Li, Lorne Mason, Michael G. Rabbat
2009	J	`jnl`	Greedy Gossip with Eavesdropping CoRR Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
2009	C	`conf`	Multi-hop Greedy Gossip with Eavesdropping. FUSION Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
2009	J	`jnl`	Optimization and Analysis of Distributed Averaging with Short Node Memory CoRR Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
2009	—	`conf`	Optimization and analysis of distributed averaging with memory. Allerton Boris N. Oreshkin, Mark J. Coates, Michael G. Rabbat
2009	Misc	`conf`	The speed of greed: Characterizing myopic gossip through network voracity. ICASSP Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
2008	J	`jnl`	Compressed Sensing for Networked Data. IEEE Signal Process. Mag. Jarvis D. Haupt, Waheed U. Bajwa, Michael G. Rabbat, Robert D. Nowak
2008	J	`jnl`	Distributed Average Consensus With Dithered Quantization. IEEE Trans. Signal Process. Tuncer C. Aysal, Mark Coates, Michael G. Rabbat
2008	—	`conf`	Greedy gossip with eavesdropping. ISWPC Deniz Üstebay, Mark Coates, Michael G. Rabbat
2008	A*	`conf`	Learning Bigrams from Unigrams. ACL Xiaojin Zhu, Andrew B. Goldberg, Michael G. Rabbat, Robert D. Nowak
2008	B	`conf`	Learning Minimum Delay Paths in Service Overlay Networks. NCA Hong Li, Lorne Mason, Michael G. Rabbat
2008	J	`jnl`	Network Inference From Co-Occurrences. IEEE Trans. Inf. Theory Michael G. Rabbat, Mário A. T. Figueiredo, Robert D. Nowak
2008	—	`conf`	Rates of convergence for greedy gossip with eavesdropping. Allerton Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
2007	A	`conf`	Compressed network monitoring for ip and all-optical networks. Internet Measurement Conference Mark Coates, Yvan Pointurier, Michael G. Rabbat
2007	—	`conf`	Genomic Network Tomography. ICASSP (1) Michael G. Rabbat, Mário A. T. Figueiredo, Robert D. Nowak
2006	—	`conf`	Decentralized compression and predistribution via randomized gossiping. IPSN Michael G. Rabbat, Jarvis D. Haupt, Aarti Singh, Robert D. Nowak
2006	—	`conf`	Inferring Network Structure from Co-Occurrences. NIPS Michael G. Rabbat, Mário A. T. Figueiredo, Robert D. Nowak
2006	J	`jnl`	Multiple-Source Internet Tomography. IEEE J. Sel. Areas Commun. Michael G. Rabbat, Mark Coates, Robert D. Nowak
2006	J	`jnl`	Network Inference from Co-Occurrences CoRR Michael G. Rabbat, Mário A. T. Figueiredo, Robert D. Nowak
2005	J	`jnl`	Quantized incremental algorithms for distributed optimization. IEEE J. Sel. Areas Commun. Michael G. Rabbat, Robert D. Nowak
2005	—	`conf`	Robust decentralized source localization via averaging. ICASSP (5) Michael G. Rabbat, Robert D. Nowak, James A. Bucklew
2005	—	`conf`	Understanding the topology of a telephone network via internally-sensed network tomography. ICASSP (3) Michael G. Rabbat, John R. Treichler, Sally L. Wood, Michael G. Larimore
2004	—	`conf`	Decentralized source localization and tracking [wireless sensor networks]. ICASSP (3) Michael G. Rabbat, Robert D. Nowak
2004	—	`conf`	Distributed optimization in sensor networks. IPSN Michael G. Rabbat, Robert D. Nowak
2004	A*	`conf`	Multiple Source, Multiple Destination Network Tomography. INFOCOM Michael G. Rabbat, Robert D. Nowak, Mark Coates
2003	A	`conf`	Merging logical topologies using end-to-end measurements. Internet Measurement Conference Mark Coates, Michael G. Rabbat, Robert D. Nowak