Gonzalo Mateos

发表

Rank minimization for subspace tracking from incomplete data

Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Proximal-Gradient Algorithms for Tracking Cascades Over Social Networks

Gonzalo Mateos, Georgios B. Giannakis, Brian Baingana, 2014, IEEE Journal of Selected Topics in Signal Processing.

Decentralized learning for wireless communications and networking pdf

Qing Ling, Ioannis D. Schizas, Gonzalo Mateos, 2015, ArXiv.

Distributed Recursive Least-Squares: Stability and Performance Analysis

Gonzalo Mateos, Georgios B. Giannakis, G. Giannakis, 2011, IEEE Transactions on Signal Processing.

Distributed Lasso for in-network linear regression

Gonzalo Mateos, Georgios B. Giannakis, Juan Andrés Bazerque, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Health Monitoring and Management Using Internet-of-Things (IoT) Sensing with Cloud-Based Processing: Opportunities and Challenges

Gonzalo Mateos, Burak Kantarci, Gaurav Sharma, 2015, 2015 IEEE International Conference on Services Computing.

Blind Identification of Invertible Graph Filters with Multiple Sparse Inputs

Gonzalo Mateos, Chang Ye, Rasoul Shafipour, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

Dynamic Structural Equation Models for Social Network Topology Inference pdf

Gonzalo Mateos, Georgios B. Giannakis, Brian Baingana, 2013, ArXiv.

Network topology identification from imperfect spectral templates

Santiago Segarra, Alejandro Ribeiro, Gonzalo Mateos, 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

Dynamic Network Cartography: Advances in Network Health Monitoring

Gonzalo Mateos, Ketan Rajawat, 2013, IEEE Signal Processing Magazine.

Network topology identification from spectral templates

Santiago Segarra, Alejandro Ribeiro, Gonzalo Mateos, 2016, 2016 IEEE Statistical Signal Processing Workshop (SSP).

Distributed Recursive Least-Squares for Consensus-Based In-Network Adaptive Estimation

Ioannis D. Schizas, Gonzalo Mateos, Georgios B. Giannakis, 2009, IEEE Transactions on Signal Processing.

DIRECTED NETWORK TOPOLOGY INFERENCE VIA GRAPH FILTER IDENTIFICATION

Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, 2018, 2018 IEEE Data Science Workshop (DSW).

Load Curve Data Cleansing and Imputation Via Sparsity and Low Rank

Gonzalo Mateos, Georgios B. Giannakis, G. Giannakis, 2013, IEEE Transactions on Smart Grid.

Analysis of Target Localization With Ideal Binary Detectors via Likelihood Function Smoothing

Gonzalo Mateos, Alireza Seyedi, Arian Shoari, 2016, IEEE Signal Processing Letters.

Closed-Form MSE Performance of the Distributed LMS Algorithm

Ioannis D. Schizas, Gonzalo Mateos, Georgios B. Giannakis, 2009, 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop.

A proximal gradient algorithm for tracking cascades over networks

Gonzalo Mateos, Georgios B. Giannakis, Brian Baingana, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Spatiotemporal load curve data cleansing and imputation via sparsity and low rank

Gonzalo Mateos, Georgios B. Giannakis, G. Giannakis, 2012, 2012 IEEE Third International Conference on Smart Grid Communications (SmartGridComm).

Blind Identification of Graph Filters

Santiago Segarra, Alejandro Ribeiro, Gonzalo Mateos, 2016, IEEE Transactions on Signal Processing.

Supervised Graph Representation Learning for Modeling the Relationship between Structural and Functional Brain Connectivity

Zhengwu Zhang, Gonzalo Mateos, Yang Li, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Basis pursuit for spectrum cartography

Gonzalo Mateos, Georgios B. Giannakis, Juan Andrés Bazerque, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Mapping Brain Structural Connectivities to Functional Networks Via Graph Encoder-Decoder With Interpretable Latent Embeddings

Zhengwu Zhang, Gonzalo Mateos, Yang Li, 2019, 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Online Topology Inference from Streaming Stationary Graph Signals with Partial Connectivity Information

Gonzalo Mateos, Rasoul Shafipour, G. Mateos, 2020, Algorithms.

Rank Regularization and Bayesian Inference for Tensor Completion and Extrapolation

Gonzalo Mateos, Georgios B. Giannakis, Juan Andrés Bazerque, 2013, IEEE Transactions on Signal Processing.

Robust PCA as Bilinear Decomposition With Outlier-Sparsity Regularization

Gonzalo Mateos, Georgios B. Giannakis, G. Giannakis, 2011, IEEE Transactions on Signal Processing.

European Signal Processing Conference

Gonzalo Mateos, Georgios B. Giannakis, 2011 .

Identifying the Topology of Undirected Networks From Diffused Non-Stationary Graph Signals pdf

Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, 2018, IEEE Open Journal of Signal Processing.

Closing the Knowledge Gap in an Online Learning Community: Network-Analytic Discoveries, Simulation and Prediction pdf

Gonzalo Mateos, Gourab Ghoshal, Md. Kamrul Hasan, 2017, ArXiv.

Robust conjoint analysis by controlling outlier sparsity

Gonzalo Mateos, Georgios B. Giannakis, G. Giannakis, 2011, 2011 19th European Signal Processing Conference.

Rethinking sketching as sampling: Efficient approximate solution to linear inverse problems

Alejandro Ribeiro, Gonzalo Mateos, Antonio G. Marques, 2016, 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Group-Lasso on Splines for Spectrum Cartography

Gonzalo Mateos, Georgios B. Giannakis, Juan Andrés Bazerque, 2010, IEEE Transactions on Signal Processing.

United Nations General Assembly Vote Similarity Networks

Gonzalo Mateos, Rijul Magu, 2017, COMPLEX NETWORKS.

Recovery of Low-Rank Plus Compressed Sparse Matrices With Application to Unveiling Traffic Anomalies

Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis, 2012, IEEE Transactions on Information Theory.

Performance Analysis of the Consensus-Based Distributed LMS Algorithm

Ioannis D. Schizas, Gonzalo Mateos, Georgios B. Giannakis, 2009, EURASIP J. Adv. Signal Process..

Robust Nonparametric Regression via Sparsity Control With Application to Load Curve Data Cleansing

Gonzalo Mateos, Georgios B. Giannakis, G. Giannakis, 2011, IEEE Transactions on Signal Processing.

Dynamic Anomalography: Tracking Network Anomalies Via Sparsity and Low Rank

Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis, 2012, IEEE Journal of Selected Topics in Signal Processing.

Signal Processing on Directed Graphs: The Role of Edge Directionality When Processing and Learning From Network Data

Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, 2020, IEEE Signal Processing Magazine.

Unveiling anomalies in large-scale networks via sparsity and low rank

Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis, 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation

Gonzalo Mateos, Haris Vikalo, Abolfazl Hashemi, 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Inference of Poisson count processes using low-rank tensor data

Gonzalo Mateos, Georgios B. Giannakis, Juan Andrés Bazerque, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Blind identification of graph filters with sparse inputs

Santiago Segarra, Alejandro Ribeiro, Gonzalo Mateos, 2015, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Efficient Sampling of Bandlimited Graph Signals

Gonzalo Mateos, Haris Vikalo, Abolfazl Hashemi, 2018 .

Rethinking sketching as sampling: Linear transforms of graph signals

Alejandro Ribeiro, Gonzalo Mateos, Fernando Gama, 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

Blind identification of graph filters with multiple sparse inputs

Santiago Segarra, Alejandro Ribeiro, Gonzalo Mateos, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Distributed LMS for Consensus-Based In-Network Adaptive Processing

Ioannis D. Schizas, Gonzalo Mateos, Georgios B. Giannakis, 2009, IEEE Transactions on Signal Processing.

Imputation of streaming low-rank tensor data

Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis, 2014, 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM).

Signal Processing on Directed Graphs: The Role of Edge Directionality When Processing and Learning From Network Data

Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, 2020, IEEE Signal Processing Magazine.

Modeling and Optimization for Big Data Analytics: (Statistical) learning tools for our era of data deluge

Gonzalo Mateos, Georgios B. Giannakis, Konstantinos Slavakis, 2014, IEEE Signal Processing Magazine.

Robust kriged Kalman filtering

Gonzalo Mateos, Georgios B. Giannakis, Emiliano Dall'Anese, 2015, 2015 49th Asilomar Conference on Signals, Systems and Computers.

Online Network Topology Inference with Partial Connectivity Informatio

Gonzalo Mateos, Rasoul Shafipour, 2019, 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Beyond Blocks: Hyperbolic Community Detection

Christos Faloutsos, Gonzalo Mateos, Stephan Günnemann, 2014, ECML/PKDD.

Robust nonparametric regression by controlling sparsity*

Gonzalo Mateos, Georgios B. Giannakis, G. Giannakis, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Inference of Graph Topology

Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, 2018 .

Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors

Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis, 2014, IEEE Transactions on Signal Processing.

Graph Topology Inference Benchmarks for Machine Learning

Vincent Gripon, Gonzalo Mateos, Carlos Lassance, 2020, 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP).

Distributed nuclear norm minimization for matrix completion

Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis, 2012, 2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

Identifying Undirected Network Structure via Semidefinite Relaxation

Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Parallelizable algorithms for the selection of grouped variables

Gonzalo Mateos, Georgios B. Giannakis, Juan Andres Bazerque, 2011, 2011 Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE).

SIGIBE: Solving random bilinear equations via gradient descent with spectral initialization

Yonina C. Eldar, Gonzalo Mateos, Antonio G. Marques, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Dynamic Network Cartography pdf

Gonzalo Mateos, Ketan Rajawat, 2012, ArXiv.

Spread and Sparse: Learning Interpretable Transforms for Bandlimited Signals on Directed Graphs

Gonzalo Mateos, Rasoul Shafipour, 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

On the Definition and Existence of a Minimum Variance Unbiased Estimator for Target Localization

Gonzalo Mateos, Arian Shoari, G. Mateos, 2016, IEEE Signal Processing Letters.

Stability analysis of the consensus-based distributed LMS algorithm

Ioannis D. Schizas, Gonzalo Mateos, Georgios B. Giannakis, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Dynamic structural equation models for tracking topologies of social networksy

Gonzalo Mateos, Georgios B. Giannakis, Brian Baingana, 2013, 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Online proximal gradient for learning graphs from streaming signals

Gonzalo Mateos, Rasoul Shafipour, G. Mateos, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

Sparsity-cognizant overlapping co-clustering for behavior inference in social networks

Nikos D. Sidiropoulos, Gonzalo Mateos, Georgios B. Giannakis, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Rethinking Sketching as Sampling: A Graph Signal Processing Approach

Alejandro Ribeiro, Gonzalo Mateos, Fernando Gama, 2016, Signal Process..

Digraph Fourier Transform via Spectral Dispersion Minimization

Gonzalo Mateos, Evdokia Nikolova, Rasoul Shafipour, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Robust network topology inference

Santiago Segarra, Alejandro Ribeiro, Gonzalo Mateos, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Online discriminative graph learning from multi-class smooth signals

Gonzalo Mateos, Seyed Saman Saboksayr, Mujdat Cetin, 2021, Signal Process..

Distributed Sparse Linear Regression

Gonzalo Mateos, Georgios B. Giannakis, Juan Andrés Bazerque, 2010, IEEE Transactions on Signal Processing.

A NOVEL SCHEME FOR SUPPORT IDENTIFICATION AND ITERATIVE SAMPLING OF BANDLIMITED GRAPH SIGNALS

Gonzalo Mateos, Haris Vikalo, Abolfazl Hashemi, 2018, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Stochastic Approximation vis-a-vis Online Learning for Big Data Analytics [Lecture Notes]

Gonzalo Mateos, Georgios B. Giannakis, Konstantinos Slavakis, 2014, IEEE Signal Processing Magazine.

Accelerated Sampling of Bandlimited Graph Signals

Gonzalo Mateos, Haris Vikalo, Abolfazl Hashemi, 2018 .

Nonparametric low-rank tensor imputation

Gonzalo Mateos, Georgios B. Giannakis, Juan Andrés Bazerque, 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).

USPACOR: Universal sparsity-controlling outlier rejection

Gonzalo Mateos, Georgios B. Giannakis, Vassilis Kekatos, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Decentralized Sparsity-Regularized Rank Minimization: Algorithms and Applications pdf

Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis, 2012, IEEE Transactions on Signal Processing.

Network topology inference from non-stationary graph signals

Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Decentralized Sparsity-Regularized Rank Minimization: Algorithms and Applications

Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis, 2012, IEEE Transactions on Signal Processing.

A digraph fourier transform with spread frequency components

Gonzalo Mateos, Evdokia Nikolova, Rasoul Shafipour, 2017, 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Exact recovery of low-rank plus compressed sparse matrices

Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis, 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).

Network Topology Inference from Spectral Templates

Santiago Segarra, Alejandro Ribeiro, Gonzalo Mateos, 2016, IEEE Transactions on Signal and Information Processing over Networks.

Consensus-based distributed least-mean square algorithm using wireless ad hoc network

Ioannis D. Schizas, Gonzalo Mateos, Georgios B. Giannakis, 2007 .

Online Change Point Detection for Weighted and Directed Random Dot Product Graphs

Gonzalo Mateos, Federico Larroca, Paola Bermolen, 2022, IEEE Transactions on Signal and Information Processing over Networks.

Change Point Detection in Weighted and Directed Random Dot Product Graphs

Gonzalo Mateos, Federico Larroca, Paola Bermolen, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

Online Graph Learning under Smoothness Priors

Gonzalo Mateos, Seyed Saman Saboksayr, Mujdat Cetin, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

Graph Frequency Analysis of COVID-19 Incidence to Identify County-Level Contagion Patterns in the United States

Gonzalo Mateos, Yang Li, G. Mateos, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Learning to Model the Relationship Between Brain Structural and Functional Connectomes pdf

Zhengwu Zhang, Gonzalo Mateos, Yang Li, 2021, IEEE Transactions on Signal and Information Processing over Networks.

Accelerated Graph Learning From Smooth Signals

Gonzalo Mateos, Seyed Saman Saboksayr, G. Mateos, 2021, IEEE Signal Processing Letters.

Spline-based spectrum cartography for cognitive radios

Gonzalo Mateos, Georgios B Giannakis, G. Giannakis, 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.