Stability analysis of the consensus-based distributed LMS algorithm. - Ioannis D. Schizas; Gonzalo Mateos; Georgios B. Giannakis (ICASSP, 2008)

Performance Analysis of the Consensus-Based Distributed LMS Algorithm. - Gonzalo Mateos; Ioannis D. Schizas; Georgios B. Giannakis (EURASIP J. Adv. Signal Process., 2009)

Distributed recursive least-squares for consensus-based in-network adaptive estimation. - Gonzalo Mateos; Ioannis D. Schizas; Georgios B. Giannakis (IEEE Trans. Signal Process., 2009)

Distributed LMS for consensus-based in-network adaptive processing. - Ioannis D. Schizas; Gonzalo Mateos; Georgios B. Giannakis (IEEE Trans. Signal Process., 2009)

Distributed Lasso for in-network linear regression. - Juan Andrés Bazerque; Gonzalo Mateos; Georgios B. Giannakis (ICASSP, 2010)

Sparsity-cognizant overlapping co-clustering for behavior inference in social networks. - Hao Zhu 001; Gonzalo Mateos; Georgios B. Giannakis; Nicholas D. Sidiropoulos; Arindam Banerjee 001 (ICASSP, 2010)

Distributed sparse linear regression. - Gonzalo Mateos; Juan Andrés Bazerque; Georgios B. Giannakis (IEEE Trans. Signal Process., 2010)

Unveiling anomalies in large-scale networks via sparsity and low rank. - Morteza Mardani; Gonzalo Mateos; Georgios B. Giannakis (ACSCC, 2011)

Robust conjoint analysis by controlling outlier sparsity. - Gonzalo Mateos; Georgios B. Giannakis (EUSIPCO, 2011)

Basis pursuit for spectrum cartography. - Juan Andrés Bazerque; Gonzalo Mateos; Georgios B. Giannakis (ICASSP, 2011)

USPACOR: Universal sparsity-controlling outlier rejection. - Georgios B. Giannakis; Gonzalo Mateos; Shahrokh Farahmand; Vassilis Kekatos; Hao Zhu 001 (ICASSP, 2011)

Robust nonparametric regression by controlling sparsity. - Gonzalo Mateos; Georgios B. Giannakis (ICASSP, 2011)

Group-Lasso on Splines for Spectrum Cartography. - Juan Andrés Bazerque; Gonzalo Mateos; Georgios B. Giannakis (IEEE Trans. Signal Process., 2011)

Spatiotemporal load curve data cleansing and imputation via sparsity and low rank. - Gonzalo Mateos; Georgios B. Giannakis (SmartGridComm, 2012)

Distributed nuclear norm minimization for matrix completion. - Morteza Mardani; Gonzalo Mateos; Georgios B. Giannakis (SPAWC, 2012)

Nonparametric low-rank tensor imputation. - Juan Andrés Bazerque; Gonzalo Mateos; Georgios B. Giannakis (SSP, 2012)

Exact recovery of low-rank plus compressed sparse matrices. - Morteza Mardani; Gonzalo Mateos; Georgios B. Giannakis (SSP, 2012)

In-network Sparsity-regularized Rank Minimization: Algorithms and Applications - Morteza Mardani; Gonzalo Mateos; Georgios B. Giannakis (CoRR, 2012)

Dynamic Network Cartography - Gonzalo Mateos; Ketan Rajawat (CoRR, 2012)

Robust Nonparametric Regression via Sparsity Control With Application to Load Curve Data Cleansing. - Gonzalo Mateos; Georgios B. Giannakis (IEEE Trans. Signal Process., 2012)

Distributed Recursive Least-Squares: Stability and Performance Analysis. - Gonzalo Mateos; Georgios B. Giannakis (IEEE Trans. Signal Process., 2012)

Robust PCA as Bilinear Decomposition With Outlier-Sparsity Regularization. - Gonzalo Mateos; Georgios B. Giannakis (IEEE Trans. Signal Process., 2012)

Dynamic structural equation models for tracking topologies of social networksy. - Brian Baingana; Gonzalo Mateos; Georgios B. Giannakis (CAMSAP, 2013)

Inference of Poisson count processes using low-rank tensor data. - Juan Andrés Bazerque; Gonzalo Mateos; Georgios B. Giannakis (ICASSP, 2013)

Rank minimization for subspace tracking from incomplete data. - Morteza Mardani; Gonzalo Mateos; Georgios B. Giannakis (ICASSP, 2013)

Dynamic Structural Equation Models for Social Network Topology Inference. - Brian Baingana; Gonzalo Mateos; Georgios B. Giannakis (CoRR, 2013)

Dynamic Anomalography: Tracking Network Anomalies Via Sparsity and Low Rank. - Morteza Mardani; Gonzalo Mateos; Georgios B. Giannakis (IEEE J. Sel. Top. Signal Process., 2013)

Dynamic Network Cartography: Advances in Network Health Monitoring. - Gonzalo Mateos; Ketan Rajawat (IEEE Signal Process. Mag., 2013)

Recovery of Low-Rank Plus Compressed Sparse Matrices With Application to Unveiling Traffic Anomalies. - Morteza Mardani; Gonzalo Mateos; Georgios B. Giannakis (IEEE Trans. Inf. Theory, 2013)

Load Curve Data Cleansing and Imputation Via Sparsity and Low Rank. - Gonzalo Mateos; Georgios B. Giannakis (IEEE Trans. Smart Grid, 2013)

Rank Regularization and Bayesian Inference for Tensor Completion and Extrapolation. - Juan Andrés Bazerque; Gonzalo Mateos; Georgios B. Giannakis (IEEE Trans. Signal Process., 2013)

Decentralized Sparsity-Regularized Rank Minimization: Algorithms and Applications. - Morteza Mardani; Gonzalo Mateos; Georgios B. Giannakis (IEEE Trans. Signal Process., 2013)

A proximal gradient algorithm for tracking cascades over networks. - Brian Baingana; Gonzalo Mateos; Georgios B. Giannakis (ICASSP, 2014)

Imputation of streaming low-rank tensor data. - Morteza Mardani; Gonzalo Mateos; Georgios B. Giannakis (SAM, 2014)

Beyond Blocks: Hyperbolic Community Detection. - Miguel Araujo; Stephan Günnemann; Gonzalo Mateos; Christos Faloutsos (ECML/PKDD (1), 2014)

Proximal-Gradient Algorithms for Tracking Cascades Over Social Networks. - Brian Baingana; Gonzalo Mateos; Georgios B. Giannakis (IEEE J. Sel. Top. Signal Process., 2014)

Modeling and Optimization for Big Data Analytics: (Statistical) learning tools for our era of data deluge. - Konstantinos Slavakis; Georgios B. Giannakis; Gonzalo Mateos (IEEE Signal Process. Mag., 2014)

Stochastic Approximation vis-a-vis Online Learning for Big Data Analytics [Lecture Notes]. - Konstantinos Slavakis; Seung-Jun Kim 002; Gonzalo Mateos; Georgios B. Giannakis (IEEE Signal Process. Mag., 2014)

Health Monitoring and Management Using Internet-of-Things (IoT) Sensing with Cloud-Based Processing: Opportunities and Challenges. - Moeen Hassanalieragh; Alex Page; Tolga Soyata; Gaurav Sharma 001; Mehmet K. Aktas; Gonzalo Mateos; Burak Kantarci; Silvana Andreescu (SCC, 2015)

Robust kriged Kalman filtering. - Brian Baingana; Emiliano Dall'Anese; Gonzalo Mateos; Georgios B. Giannakis (ACSSC, 2015)

Blind identification of graph filters with sparse inputs. - Santiago Segarra; Gonzalo Mateos; Antonio G. Marques; Alejandro Ribeiro (CAMSAP, 2015)

Decentralized learning for wireless communications and networking. - Georgios B. Giannakis; Qing Ling 001; Gonzalo Mateos; Ioannis D. Schizas; Hao Zhu 001 (CoRR, 2015)

Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors. - Morteza Mardani; Gonzalo Mateos; Georgios B. Giannakis (IEEE Trans. Signal Process., 2015)

Rethinking sketching as sampling: Linear transforms of graph signals. - Fernando Gama; Antonio G. Marques; Gonzalo Mateos; Alejandro Ribeiro (ACSSC, 2016)

Network topology identification from imperfect spectral templates. - Santiago Segarra; Antonio G. Marques; Gonzalo Mateos; Alejandro Ribeiro (ACSSC, 2016)

SIGIBE: Solving random bilinear equations via gradient descent with spectral initialization. - Antonio G. Marques; Gonzalo Mateos; Yonina C. Eldar (EUSIPCO, 2016)

Rethinking sketching as sampling: Efficient approximate solution to linear inverse problems. - Fernando Garna; Antonio G. Marques; Gonzalo Mateos; Alejandro Ribeiro (GlobalSIP, 2016)

Blind identification of graph filters with multiple sparse inputs. - Santiago Segarra; Antonio G. Marques; Gonzalo Mateos; Alejandro Ribeiro (ICASSP, 2016)

Network topology identification from spectral templates. - Santiago Segarra; Antonio G. Marques; Gonzalo Mateos; Alejandro Ribeiro (SSP, 2016)

On the Definition and Existence of a Minimum Variance Unbiased Estimator for Target Localization. - Arian Shoari; Gonzalo Mateos (IEEE Signal Process. Lett., 2016)

Analysis of Target Localization With Ideal Binary Detectors via Likelihood Function Smoothing. - Arian Shoari; Gonzalo Mateos; Alireza Seyedi (IEEE Signal Process. Lett., 2016)

United Nations General Assembly Vote Similarity Networks. - Rijul Magu; Gonzalo Mateos (COMPLEX NETWORKS, 2017)

A digraph fourier transform with spread frequency components. - Rasoul Shafipour; Ali Khodabakhsh 002; Gonzalo Mateos; Evdokia Nikolova (GlobalSIP, 2017)

Robust network topology inference. - Santiago Segarra; Antonio G. Marques; Gonzalo Mateos; Alejandro Ribeiro (ICASSP, 2017)

Network topology inference from non-stationary graph signals. - Rasoul Shafipour; Santiago Segarra; Antonio G. Marques; Gonzalo Mateos (ICASSP, 2017)

Closing the Knowledge Gap in an Online Learning Community: Network-Analytic Discoveries, Simulation and Prediction. - Rasoul Shafipour; Raiyan Abdul Baten; Md. Kamrul Hasan 003; Gourab Ghoshal; Gonzalo Mateos; Mohammed E. Hoque 001 (CoRR, 2017)

Network Topology Inference from Spectral Templates. - Santiago Segarra; Antonio G. Marques; Gonzalo Mateos; Alejandro Ribeiro (IEEE Trans. Signal Inf. Process. over Networks, 2017)

Blind Identification of Graph Filters. - Santiago Segarra; Gonzalo Mateos; Antonio G. Marques; Alejandro Ribeiro (IEEE Trans. Signal Process., 2017)

Spread and Sparse: Learning Interpretable Transforms for Bandlimited Signals on Directed Graphs. - Rasoul Shafipour; Gonzalo Mateos (ACSSC, 2018)

Directed Network Topology Inference via Graph Filter Identification. - Rasoul Shafipour; Santiago Segarra; Antonio G. Marques; Gonzalo Mateos (DSW, 2018)

Blind Identification of Invertible Graph Filters with Multiple Sparse Inputs. - Chang Ye; Rasoul Shafipour; Gonzalo Mateos (EUSIPCO, 2018)

A Novel Scheme for Support Identification and Iterative Sampling of Bandlimited Graph Signals. - Abolfazl Hashemi; Rasoul Shafipour; Haris Vikalo; Gonzalo Mateos (GlobalSIP, 2018)

Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation. - Abolfazl Hashemi; Rasoul Shafipour; Haris Vikalo; Gonzalo Mateos (ICASSP, 2018)

Digraph Fourier Transform via Spectral Dispersion Minimization. - Rasoul Shafipour; Ali Khodabakhsh 002; Gonzalo Mateos; Evdokia Nikolova (ICASSP, 2018)

Identifying Undirected Network Structure via Semidefinite Relaxation. - Rasoul Shafipour; Santiago Segarra; Antonio G. Marques; Gonzalo Mateos (ICASSP, 2018)

Identifying the Topology of Undirected Networks from Diffused Non-stationary Graph Signals. - Rasoul Shafipour; Santiago Segarra; Antonio G. Marques; Gonzalo Mateos (CoRR, 2018)

Online Network Topology Inference with Partial Connectivity Informatio. - Rasoul Shafipour; Gonzalo Mateos (CAMSAP, 2019)

Online Topology Inference from Streaming Stationary Graph Signals. - Rasoul Shafipour; Abolfazl Hashemi; Gonzalo Mateos; Haris Vikalo (DSW, 2019)

Online Tensor Decomposition and Imputation for Count Data. - Chang Ye; Gonzalo Mateos (DSW, 2019)

Mapping Brain Structural Connectivities to Functional Networks Via Graph Encoder-Decoder With Interpretable Latent Embeddings. - Yang Li 149; Rasoul Shafipour; Gonzalo Mateos; Zhengwu Zhang (GlobalSIP, 2019)

Identifying Structural Brain Networks from Functional Connectivity: A Network Deconvolution Approach. - Yang Li 149; Gonzalo Mateos (ICASSP, 2019)

A Windowed Digraph Fourier Transform. - Rasoul Shafipour; Ali Khodabakhsh 002; Gonzalo Mateos (ICASSP, 2019)

Connecting the Dots: Identifying Network Structure via Graph Signal Processing. - Gonzalo Mateos; Santiago Segarra; Antonio G. Marques; Alejandro Ribeiro (IEEE Signal Process. Mag., 2019)

A Directed Graph Fourier Transform With Spread Frequency Components. - Rasoul Shafipour; Ali Khodabakhsh 002; Gonzalo Mateos; Evdokia Nikolova (IEEE Trans. Signal Process., 2019)

Online proximal gradient for learning graphs from streaming signals. - Rasoul Shafipour; Gonzalo Mateos (EUSIPCO, 2020)

Supervised Graph Representation Learning for Modeling the Relationship between Structural and Functional Brain Connectivity. - Yang Li 149; Rasoul Shafipour; Gonzalo Mateos; Zhengwu Zhang (ICASSP, 2020)

Graph Topology Inference Benchmarks for Machine Learning. - Carlos Lassance; Vincent Gripon; Gonzalo Mateos (MLSP, 2020)

Online Topology Inference from Streaming Stationary Graph Signals with Partial Connectivity Information. - Rasoul Shafipour; Gonzalo Mateos (Algorithms, 2020)

Rethinking sketching as sampling: A graph signal processing approach. - Fernando Gama; Antonio G. Marques; Gonzalo Mateos; Alejandro Ribeiro (Signal Process., 2020)

Signal Processing on Directed Graphs: The Role of Edge Directionality When Processing and Learning From Network Data. - Antonio G. Marques; Santiago Segarra; Gonzalo Mateos (IEEE Signal Process. Mag., 2020)

Online Change Point Detection for Random Dot Product Graphs. - Bernardo Marenco; Paola Bermolen; Marcelo Fiori; Federico Larroca; Gonzalo Mateos (ACSCC, 2021)

Change Point Detection in Weighted and Directed Random Dot Product Graphs. - Federico Larroca; Paola Bermolen; Marcelo Fiori; Gonzalo Mateos (EUSIPCO, 2021)

Online Graph Learning under Smoothness Priors. - Seyed Saman Saboksayr; Gonzalo Mateos; Müjdat Çetin (EUSIPCO, 2021)

Graph Frequency Analysis of COVID-19 Incidence to Identify County-Level Contagion Patterns in the United States. - Yang Li 149; Gonzalo Mateos (ICASSP, 2021)

EEG-Based Emotion Classification Using Graph Signal Processing. - Seyed Saman Saboksayr; Gonzalo Mateos; Müjdat Çetin (ICASSP, 2021)

Online discriminative graph learning from multi-class smooth signals. - Seyed Saman Saboksayr; Gonzalo Mateos; Müjdat Çetin (Signal Process., 2021)

Accelerated Graph Learning From Smooth Signals. - Seyed Saman Saboksayr; Gonzalo Mateos (IEEE Signal Process. Lett., 2021)

Tracking the Adjacency Spectral Embedding for Streaming Graphs. - Federico Larroca; Paola Bermolen; Marcelo Fiori; Bernardo Marenco; Gonzalo Mateos (IEEECONF, 2022)

Algorithmic Advances for the Adjacency Spectral Embedding. - Marcelo Fiori; Bernardo Marenco; Federico Larroca; Paola Bermolen; Gonzalo Mateos (EUSIPCO, 2022)

Learning Similarity-Preserving Representations of Brain Structure-Function Coupling. - Yang Li 149; Gonzalo Mateos (EUSIPCO, 2022)

Learning to Identify Sources of Network Diffusion. - Chang Ye; Gonzalo Mateos (EUSIPCO, 2022)

coVariance Neural Networks. - Saurabh Sihag; Gonzalo Mateos; Corey McMillan; Alejandro Ribeiro (NeurIPS, 2022)

Networks of international football: communities, evolution and globalization of the game. - Yang Li 149; Gonzalo Mateos (Appl. Netw. Sci., 2022)

pyGSL: A Graph Structure Learning Toolkit. - Max Wasserman; Gonzalo Mateos (CoRR, 2022)

Towards accelerated greedy sampling and reconstruction of bandlimited graph signals. - Abolfazl Hashemi; Rasoul Shafipour; Haris Vikalo; Gonzalo Mateos (Signal Process., 2022)

Learning to Model the Relationship Between Brain Structural and Functional Connectomes. - Yang Li 149; Gonzalo Mateos; Zhengwu Zhang (IEEE Trans. Signal Inf. Process. over Networks, 2022)

Online Change Point Detection for Weighted and Directed Random Dot Product Graphs. - Bernardo Marenco; Paola Bermolen; Marcelo Fiori; Federico Larroca; Gonzalo Mateos (IEEE Trans. Signal Inf. Process. over Networks, 2022)

Fairness-Aware Graph Filter Design. - Öykü Deniz Köse; Yanning Shen; Gonzalo Mateos (ACSSC, 2023)

Dual-Based Online Learning of Dynamic Network Topologies. - Seyed Saman Saboksayr; Gonzalo Mateos (ICASSP, 2023)

Predicting Brain Age Using Transferable Covariance Neural Networks. - Saurabh Sihag; Gonzalo Mateos; Corey McMillan; Alejandro Ribeiro (ICASSP, 2023)

Explainable Brain Age Prediction using coVariance Neural Networks. - Saurabh Sihag; Gonzalo Mateos; Corey McMillan; Alejandro Ribeiro (NeurIPS, 2023)

Transferability of coVariance Neural Networks and Application to Interpretable Brain Age Prediction using Anatomical Features. - Saurabh Sihag; Gonzalo Mateos; Corey T. McMillan; Alejandro Ribeiro (CoRR, 2023)

Fairness-aware Optimal Graph Filter Design. - Oyku Deniz Kose; Yanning Shen; Gonzalo Mateos (CoRR, 2023)

Learning Graph Structure from Convolutional Mixtures. - Max Wasserman; Saurabh Sihag; Gonzalo Mateos; Alejandro Ribeiro (Trans. Mach. Learn. Res., 2023)

Joint Sampling and Reconstruction of Time-Varying Signals Over Directed Graphs. - Zhenlong Xiao; He Fang; Stefano Tomasin; Gonzalo Mateos; Xianbin Wang 001 (IEEE Trans. Signal Process., 2023)

A Random Dot Product Graph Model for Weighted and Directed Networks. - Bernardo Marenco; Paola Bermolen; Marcelo Fiori; Federico Larroca; Gonzalo Mateos (IEEECONF, 2024)

Convolutional Learning on Directed Acyclic Graphs. - Samuel Rey; Hamed Ajorlou; Gonzalo Mateos (IEEECONF, 2024)

CoLiDE: Concomitant Linear DAG Estimation. - Seyed Saman Saboksayr; Gonzalo Mateos; Mariano Tepper (ICLR, 2024)

Filtering as Rewiring for Bias Mitigation on Graphs. - Oyku Deniz Kose; Gonzalo Mateos; Yanning Shen (SAM, 2024)

Block Successive Convex Approximation for Concomitant Linear DAG Estimation. - Seyed Saman Saboksayr; Gonzalo Mateos; Mariano Tepper (SAM, 2024)

Towards a Foundation Model for Brain Age Prediction using coVariance Neural Networks. - Saurabh Sihag; Gonzalo Mateos; Alejandro Ribeiro (CoRR, 2024)

Graph Structure Learning with Interpretable Bayesian Neural Networks. - Max Wasserman; Gonzalo Mateos (Trans. Mach. Learn. Res., 2024)

Gradient-Based Spectral Embeddings of Random Dot Product Graphs. - Marcelo Fiori; Bernardo Marenco; Federico Larroca; Paola Bermolen; Gonzalo Mateos (IEEE Trans. Signal Inf. Process. over Networks, 2024)

Online Proximal ADMM for Graph Learning from Streaming Smooth Signals. - Hector Chahuara; Gonzalo Mateos (ICASSP, 2025)

Non-negative Weighted DAG Structure Learning. - Samuel Rey; Seyed Saman Saboksayr; Gonzalo Mateos (ICASSP, 2025)

Explainable Brain Age Gap Prediction in Neurodegenerative Conditions Using Covariance Neural Networks. - Saurabh Sihag; Gonzalo Mateos; Alejandro Ribeiro (ISBI, 2025)

Blind deconvolution on graphs: Exact and stable recovery. - Chang Ye; Gonzalo Mateos (Signal Process., 2025)

Blind Deconvolution of Graph Signals: Robustness to Graph Perturbations. - Chang Ye; Gonzalo Mateos (IEEE Signal Process. Lett., 2025)

LASE: Learned Adjacency Spectral Embeddings. - Sofía Pérez Casulo; Marcelo Fiori; Federico Larroca; Gonzalo Mateos (Trans. Mach. Learn. Res., 2025)

Stabilizing the Kumaraswamy Distribution. - Max Wasserman; Gonzalo Mateos (Trans. Mach. Learn. Res., 2025)

Graph Contrastive Learning for Connectome Classification. - Martín Schmidt; Sara Silva; Federico Larroca; Gonzalo Mateos; Pablo Musé (CoRR, 2025)

Weighted Random Dot Product Graphs. - Bernardo Marenco; Paola Bermolen; Marcelo Fiori; Federico Larroca; Gonzalo Mateos (CoRR, 2025)

Unlearning Algorithmic Biases over Graphs. - Öykü Deniz Köse; Gonzalo Mateos; Yanning Shen (CoRR, 2025)

Directed Acyclic Graph Convolutional Networks. - Samuel Rey; Hamed Ajorlou; Gonzalo Mateos (CoRR, 2025)

Unrolling Dynamic Programming via Graph Filters. - Sergio Rozada; Samuel Rey; Gonzalo Mateos; Antonio G. Marques (CoRR, 2025)