Gonzalo Mateos

174 papers A* 3Misc 29Journal 100Unranked 42

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Generative Model for Controllable Feature Heterophily in Graphs. CoRR Haoyu Wang, Renyuan Ma, Gonzalo Mateos, Luana Ruiz
2025	J	`jnl`	BDoG-Net: Algorithm Unrolling for Blind Deconvolution on Graphs. IEEE Trans. Signal Inf. Process. over Networks Chang Ye, Gonzalo Mateos
2025	J	`jnl`	BUILD with Precision: Bottom-Up Inference of Linear DAGs. CoRR Hamed Ajorlou, Samuel Rey, Gonzalo Mateos, Geert Leus, Antonio G. Marques
2025	J	`jnl`	Blind Deconvolution of Graph Signals: Robustness to Graph Perturbations. IEEE Signal Process. Lett. Chang Ye, Gonzalo Mateos
2025	J	`jnl`	Blind deconvolution on graphs: Exact and stable recovery. Signal Process. Chang Ye, Gonzalo Mateos
2025	J	`jnl`	Conformal Inference for Time Series over Graphs. CoRR Sonakshi Dua, Gonzalo Mateos, Sundeep Prabhakar Chepuri
2025	J	`jnl`	Directed Acyclic Graph Convolutional Networks. CoRR Samuel Rey, Hamed Ajorlou, Gonzalo Mateos
2025	—	`conf`	Dirichlet Meets Horvitz and Thompson: Estimating Homophily in Large Networks via Sampling. IEEECONF Hamed Ajorlou, Gonzalo Mateos, Luana Ruiz
2025	J	`jnl`	Dirichlet Meets Horvitz and Thompson: Estimating Homophily in Large Networks via Sampling. CoRR Hamed Ajorlou, Gonzalo Mateos, Luana Ruiz
2025	J	`jnl`	Disentangling Neurodegeneration With Brain Age Gap Prediction Models: A graph signal processing perspective. IEEE Signal Process. Mag. Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
2025	J	`jnl`	Disentangling Neurodegeneration with Brain Age Gap Prediction Models: A Graph Signal Processing Perspective. CoRR Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
2025	—	`conf`	Explainable Brain Age Gap Prediction in Neurodegenerative Conditions Using Covariance Neural Networks. ISBI Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
2025	J	`jnl`	Explainable Brain Age Gap Prediction in Neurodegenerative Conditions using coVariance Neural Networks. CoRR Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
2025	—	`conf`	Graph Contrastive Learning for Connectome Classification. IEEECONF Martín Schmidt, Sara Silva, Federico Larroca, Gonzalo Mateos, Pablo Musé
2025	J	`jnl`	Graph Contrastive Learning for Connectome Classification. CoRR Martín Schmidt, Sara Silva, Federico Larroca, Gonzalo Mateos, Pablo Musé
2025	J	`jnl`	LASE: Learned Adjacency Spectral Embeddings. Trans. Mach. Learn. Res. Sofía Pérez Casulo, Marcelo Fiori, Federico Larroca, Gonzalo Mateos
2025	—	`conf`	Non-negative DAG Learning from Time-Series Data. IEEECONF Samuel Rey, Gonzalo Mateos
2025	J	`jnl`	Non-negative DAG Learning from Time-Series Data. CoRR Samuel Rey, Gonzalo Mateos
2025	Misc	`conf`	Non-negative Weighted DAG Structure Learning. ICASSP Samuel Rey, Seyed Saman Saboksayr, Gonzalo Mateos
2025	Misc	`conf`	Online Proximal ADMM for Graph Learning from Streaming Smooth Signals. ICASSP Hector Chahuara, Gonzalo Mateos
2025	J	`jnl`	Stabilizing the Kumaraswamy Distribution. Trans. Mach. Learn. Res. Max Wasserman, Gonzalo Mateos
2025	—	`conf`	Task-driven Heterophilic Graph Structure Learning. IEEECONF Ayushman Raghuvanshi, Gonzalo Mateos, Sundeep Prabhakar Chepuri
2025	J	`jnl`	Task-driven Heterophilic Graph Structure Learning. CoRR Ayushman Raghuvanshi, Gonzalo Mateos, Sundeep Prabhakar Chepuri
2025	J	`jnl`	Topology Identification and Inference over Graphs. CoRR Gonzalo Mateos, Yanning Shen, Georgios B. Giannakis, Ananthram Swami
2025	J	`jnl`	Unlearning Algorithmic Biases over Graphs. CoRR Öykü Deniz Köse, Gonzalo Mateos, Yanning Shen
2025	—	`conf`	Unrolling Dynamic Programming via Graph Filters. CAMSAP Sergio Rozada, Samuel Rey, Gonzalo Mateos, Antonio G. Marques
2025	J	`jnl`	Unrolling Dynamic Programming via Graph Filters. CoRR Sergio Rozada, Samuel Rey, Gonzalo Mateos, Antonio G. Marques
2025	J	`jnl`	Weighted Random Dot Product Graphs. CoRR Bernardo Marenco, Paola Bermolen, Marcelo Fiori, Federico Larroca, Gonzalo Mateos
2024	—	`conf`	A Random Dot Product Graph Model for Weighted and Directed Networks. IEEECONF Bernardo Marenco, Paola Bermolen, Marcelo Fiori, Federico Larroca, Gonzalo Mateos
2024	—	`conf`	Block Successive Convex Approximation for Concomitant Linear DAG Estimation. SAM Seyed Saman Saboksayr, Gonzalo Mateos, Mariano Tepper
2024	A*	`conf`	CoLiDE: Concomitant Linear DAG Estimation. ICLR Seyed Saman Saboksayr, Gonzalo Mateos, Mariano Tepper
2024	—	`conf`	Convolutional Learning on Directed Acyclic Graphs. IEEECONF Samuel Rey, Hamed Ajorlou, Gonzalo Mateos
2024	J	`jnl`	Convolutional Learning on Directed Acyclic Graphs. CoRR Samuel Rey, Hamed Ajorlou, Gonzalo Mateos
2024	—	`conf`	Filtering as Rewiring for Bias Mitigation on Graphs. SAM Oyku Deniz Kose, Gonzalo Mateos, Yanning Shen
2024	J	`jnl`	Gradient-Based Spectral Embeddings of Random Dot Product Graphs. IEEE Trans. Signal Inf. Process. over Networks Marcelo Fiori, Bernardo Marenco, Federico Larroca, Paola Bermolen, Gonzalo Mateos
2024	J	`jnl`	Graph Structure Learning with Interpretable Bayesian Neural Networks. CoRR Max Wasserman, Gonzalo Mateos
2024	J	`jnl`	Graph Structure Learning with Interpretable Bayesian Neural Networks. Trans. Mach. Learn. Res. Max Wasserman, Gonzalo Mateos
2024	J	`jnl`	LASE: Learned Adjacency Spectral Embeddings. CoRR Sofía Pérez Casulo, Marcelo Fiori, Federico Larroca, Gonzalo Mateos
2024	J	`jnl`	Non-negative Weighted DAG Structure Learning. CoRR Samuel Rey, Seyed Saman Saboksayr, Gonzalo Mateos
2024	J	`jnl`	Online Proximal ADMM for Graph Learning from Streaming Smooth Signals. CoRR Hector Chahuara, Gonzalo Mateos
2024	J	`jnl`	Stabilizing the Kumaraswamy Distribution. CoRR Max Wasserman, Gonzalo Mateos
2024	J	`jnl`	Towards a Foundation Model for Brain Age Prediction using coVariance Neural Networks. CoRR Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
2023	J	`jnl`	CoLiDE: Concomitant Linear DAG Estimation. CoRR Seyed Saman Saboksayr, Gonzalo Mateos, Mariano Tepper
2023	Misc	`conf`	Dual-Based Online Learning of Dynamic Network Topologies. ICASSP Seyed Saman Saboksayr, Gonzalo Mateos
2023	A*	`conf`	Explainable Brain Age Prediction using coVariance Neural Networks. NeurIPS Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
2023	J	`jnl`	Explainable Brain Age Prediction using coVariance Neural Networks. CoRR Saurabh Sihag, Gonzalo Mateos, Corey T. McMillan, Alejandro Ribeiro
2023	Misc	`conf`	Fairness-Aware Graph Filter Design. ACSSC Öykü Deniz Köse, Yanning Shen, Gonzalo Mateos
2023	J	`jnl`	Fairness-Aware Graph Filter Design. CoRR Öykü Deniz Köse, Yanning Shen, Gonzalo Mateos
2023	J	`jnl`	Fairness-aware Optimal Graph Filter Design. CoRR Oyku Deniz Kose, Yanning Shen, Gonzalo Mateos
2023	J	`jnl`	Gradient-Based Spectral Embeddings of Random Dot Product Graphs. CoRR Marcelo Fiori, Bernardo Marenco, Federico Larroca, Paola Bermolen, Gonzalo Mateos
2023	J	`jnl`	Joint Sampling and Reconstruction of Time-Varying Signals Over Directed Graphs. IEEE Trans. Signal Process. Zhenlong Xiao, He Fang, Stefano Tomasin, Gonzalo Mateos, Xianbin Wang
2023	J	`jnl`	Learning Graph Structure from Convolutional Mixtures. Trans. Mach. Learn. Res. Max Wasserman, Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
2023	Misc	`conf`	Predicting Brain Age Using Transferable Covariance Neural Networks. ICASSP Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
2023	J	`jnl`	Transferability of coVariance Neural Networks and Application to Interpretable Brain Age Prediction using Anatomical Features. CoRR Saurabh Sihag, Gonzalo Mateos, Corey T. McMillan, Alejandro Ribeiro
2022	—	`conf`	Algorithmic Advances for the Adjacency Spectral Embedding. EUSIPCO Marcelo Fiori, Bernardo Marenco, Federico Larroca, Paola Bermolen, Gonzalo Mateos
2022	J	`jnl`	Learning Graph Structure from Convolutional Mixtures. CoRR Max Wasserman, Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
2022	—	`conf`	Learning Similarity-Preserving Representations of Brain Structure-Function Coupling. EUSIPCO Yang Li, Gonzalo Mateos
2022	—	`conf`	Learning to Identify Sources of Network Diffusion. EUSIPCO Chang Ye, Gonzalo Mateos
2022	J	`jnl`	Learning to Model the Relationship Between Brain Structural and Functional Connectomes. IEEE Trans. Signal Inf. Process. over Networks Yang Li, Gonzalo Mateos, Zhengwu Zhang
2022	J	`jnl`	Networks of international football: communities, evolution and globalization of the game. Appl. Netw. Sci. Yang Li, Gonzalo Mateos
2022	J	`jnl`	Networks of international football: communities, evolution and globalization of the game. CoRR Yang Li, Gonzalo Mateos
2022	J	`jnl`	Online Change Point Detection for Weighted and Directed Random Dot Product Graphs. CoRR Bernardo Marenco, Paola Bermolen, Marcelo Fiori, Federico Larroca, Gonzalo Mateos
2022	J	`jnl`	Online Change Point Detection for Weighted and Directed Random Dot Product Graphs. IEEE Trans. Signal Inf. Process. over Networks Bernardo Marenco, Paola Bermolen, Marcelo Fiori, Federico Larroca, Gonzalo Mateos
2022	J	`jnl`	Predicting Brain Age using Transferable coVariance Neural Networks. CoRR Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
2022	J	`jnl`	Towards accelerated greedy sampling and reconstruction of bandlimited graph signals. Signal Process. Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos
2022	—	`conf`	Tracking the Adjacency Spectral Embedding for Streaming Graphs. IEEECONF Federico Larroca, Paola Bermolen, Marcelo Fiori, Bernardo Marenco, Gonzalo Mateos
2022	A*	`conf`	coVariance Neural Networks. NeurIPS Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
2022	J	`jnl`	coVariance Neural Networks. CoRR Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
2022	J	`jnl`	pyGSL: A Graph Structure Learning Toolkit. CoRR Max Wasserman, Gonzalo Mateos
2021	J	`jnl`	Accelerated Graph Learning From Smooth Signals. IEEE Signal Process. Lett. Seyed Saman Saboksayr, Gonzalo Mateos
2021	J	`jnl`	Accelerated Graph Learning from Smooth Signals. CoRR Seyed Saman Saboksayr, Gonzalo Mateos
2021	—	`conf`	Change Point Detection in Weighted and Directed Random Dot Product Graphs. EUSIPCO Federico Larroca, Paola Bermolen, Marcelo Fiori, Gonzalo Mateos
2021	Misc	`conf`	EEG-Based Emotion Classification Using Graph Signal Processing. ICASSP Seyed Saman Saboksayr, Gonzalo Mateos, Müjdat Çetin
2021	Misc	`conf`	Graph Frequency Analysis of COVID-19 Incidence to Identify County-Level Contagion Patterns in the United States. ICASSP Yang Li, Gonzalo Mateos
2021	J	`jnl`	Learning to Model the Relationship Between Brain Structural and Functional Connectomes. CoRR Yang Li, Gonzalo Mateos, Zhengwu Zhang
2021	—	`conf`	Online Change Point Detection for Random Dot Product Graphs. ACSCC Bernardo Marenco, Paola Bermolen, Marcelo Fiori, Federico Larroca, Gonzalo Mateos
2021	—	`conf`	Online Graph Learning under Smoothness Priors. EUSIPCO Seyed Saman Saboksayr, Gonzalo Mateos, Müjdat Çetin
2021	J	`jnl`	Online Graph Learning under Smoothness Priors. CoRR Seyed Saman Saboksayr, Gonzalo Mateos, Müjdat Çetin
2021	J	`jnl`	Online discriminative graph learning from multi-class smooth signals. Signal Process. Seyed Saman Saboksayr, Gonzalo Mateos, Müjdat Çetin
2020	—	`conf`	Graph Topology Inference Benchmarks for Machine Learning. MLSP Carlos Lassance, Vincent Gripon, Gonzalo Mateos
2020	J	`jnl`	Graph topology inference benchmarks for machine learning. CoRR Carlos Lassance, Vincent Gripon, Gonzalo Mateos
2020	J	`jnl`	Online Topology Inference from Streaming Stationary Graph Signals with Partial Connectivity Information. Algorithms Rasoul Shafipour, Gonzalo Mateos
2020	J	`jnl`	Online Topology Inference from Streaming Stationary Graph Signals with Partial Connectivity Information. CoRR Rasoul Shafipour, Gonzalo Mateos
2020	—	`conf`	Online proximal gradient for learning graphs from streaming signals. EUSIPCO Rasoul Shafipour, Gonzalo Mateos
2020	J	`jnl`	Rethinking sketching as sampling: A graph signal processing approach. Signal Process. Fernando Gama, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
2020	J	`jnl`	Signal Processing on Directed Graphs: The Role of Edge Directionality When Processing and Learning From Network Data. IEEE Signal Process. Mag. Antonio G. Marques, Santiago Segarra, Gonzalo Mateos
2020	Misc	`conf`	Supervised Graph Representation Learning for Modeling the Relationship between Structural and Functional Brain Connectivity. ICASSP Yang Li, Rasoul Shafipour, Gonzalo Mateos, Zhengwu Zhang
2019	J	`jnl`	A Directed Graph Fourier Transform With Spread Frequency Components. IEEE Trans. Signal Process. Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos, Evdokia Nikolova
2019	Misc	`conf`	A Windowed Digraph Fourier Transform. ICASSP Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos
2019	J	`jnl`	Connecting the Dots: Identifying Network Structure via Graph Signal Processing. IEEE Signal Process. Mag. Gonzalo Mateos, Santiago Segarra, Antonio G. Marques, Alejandro Ribeiro
2019	Misc	`conf`	Identifying Structural Brain Networks from Functional Connectivity: A Network Deconvolution Approach. ICASSP Yang Li, Gonzalo Mateos
2019	—	`conf`	Mapping Brain Structural Connectivities to Functional Networks Via Graph Encoder-Decoder With Interpretable Latent Embeddings. GlobalSIP Yang Li, Rasoul Shafipour, Gonzalo Mateos, Zhengwu Zhang
2019	—	`conf`	Online Network Topology Inference with Partial Connectivity Informatio. CAMSAP Rasoul Shafipour, Gonzalo Mateos
2019	—	`conf`	Online Tensor Decomposition and Imputation for Count Data. DSW Chang Ye, Gonzalo Mateos
2019	—	`conf`	Online Topology Inference from Streaming Stationary Graph Signals. DSW Rasoul Shafipour, Abolfazl Hashemi, Gonzalo Mateos, Haris Vikalo
2018	—	`conf`	A Novel Scheme for Support Identification and Iterative Sampling of Bandlimited Graph Signals. GlobalSIP Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos
2018	—	`conf`	Blind Identification of Invertible Graph Filters with Multiple Sparse Inputs. EUSIPCO Chang Ye, Rasoul Shafipour, Gonzalo Mateos
2018	J	`jnl`	Blind Identification of Invertible Graph Filters with Multiple Sparse Inputs. CoRR Chang Ye, Rasoul Shafipour, Gonzalo Mateos
2018	Misc	`conf`	Digraph Fourier Transform via Spectral Dispersion Minimization. ICASSP Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos, Evdokia Nikolova
2018	—	`conf`	Directed Network Topology Inference via Graph Filter Identification. DSW Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos
2018	Misc	`conf`	Identifying Undirected Network Structure via Semidefinite Relaxation. ICASSP Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos
2018	J	`jnl`	Identifying the Topology of Undirected Networks from Diffused Non-stationary Graph Signals. CoRR Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos
2018	Misc	`conf`	Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation. ICASSP Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos
2018	Misc	`conf`	Spread and Sparse: Learning Interpretable Transforms for Bandlimited Signals on Directed Graphs. ACSSC Rasoul Shafipour, Gonzalo Mateos
2017	—	`conf`	A digraph fourier transform with spread frequency components. GlobalSIP Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos, Evdokia Nikolova
2017	J	`jnl`	Blind Identification of Graph Filters. IEEE Trans. Signal Process. Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, Alejandro Ribeiro
2017	J	`jnl`	Closing the Knowledge Gap in an Online Learning Community: Network-Analytic Discoveries, Simulation and Prediction. CoRR Rasoul Shafipour, Raiyan Abdul Baten, Md. Kamrul Hasan, Gourab Ghoshal, Gonzalo Mateos, Mohammed E. Hoque
2017	J	`jnl`	Network Topology Inference from Spectral Templates. IEEE Trans. Signal Inf. Process. over Networks Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
2017	Misc	`conf`	Network topology inference from non-stationary graph signals. ICASSP Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos
2017	Misc	`conf`	Robust network topology inference. ICASSP Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
2017	J	`jnl`	Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation. CoRR Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos
2017	—	`conf`	United Nations General Assembly Vote Similarity Networks. COMPLEX NETWORKS Rijul Magu, Gonzalo Mateos
2016	J	`jnl`	Analysis of Target Localization With Ideal Binary Detectors via Likelihood Function Smoothing. IEEE Signal Process. Lett. Arian Shoari, Gonzalo Mateos, Alireza Seyedi
2016	J	`jnl`	Blind Identification of Graph Filters. CoRR Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, Alejandro Ribeiro
2016	Misc	`conf`	Blind identification of graph filters with multiple sparse inputs. ICASSP Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
2016	J	`jnl`	Network Topology Identification from Spectral Templates. CoRR Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
2016	J	`jnl`	Network Topology Inference from Spectral Templates. CoRR Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
2016	Misc	`conf`	Network topology identification from imperfect spectral templates. ACSSC Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
2016	—	`conf`	Network topology identification from spectral templates. SSP Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
2016	J	`jnl`	On the Definition and Existence of a Minimum Variance Unbiased Estimator for Target Localization. IEEE Signal Process. Lett. Arian Shoari, Gonzalo Mateos
2016	J	`jnl`	Rethinking Sketching as Sampling: A Graph Signal Processing Approach. CoRR Fernando Gama, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
2016	—	`conf`	Rethinking sketching as sampling: Efficient approximate solution to linear inverse problems. GlobalSIP Fernando Garna, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
2016	Misc	`conf`	Rethinking sketching as sampling: Linear transforms of graph signals. ACSSC Fernando Gama, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
2016	—	`conf`	SIGIBE: Solving random bilinear equations via gradient descent with spectral initialization. EUSIPCO Antonio G. Marques, Gonzalo Mateos, Yonina C. Eldar
2015	—	`conf`	Blind identification of graph filters with sparse inputs. CAMSAP Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, Alejandro Ribeiro
2015	J	`jnl`	Decentralized learning for wireless communications and networking. CoRR Georgios B. Giannakis, Qing Ling, Gonzalo Mateos, Ioannis D. Schizas, Hao Zhu
2015	—	`conf`	Health Monitoring and Management Using Internet-of-Things (IoT) Sensing with Cloud-Based Processing: Opportunities and Challenges. SCC Moeen Hassanalieragh, Alex Page, Tolga Soyata, Gaurav Sharma, Mehmet K. Aktas, Gonzalo Mateos, Burak Kantarci, Silvana Andreescu
2015	Misc	`conf`	Robust kriged Kalman filtering. ACSSC Brian Baingana, Emiliano Dall'Anese, Gonzalo Mateos, Georgios B. Giannakis
2015	J	`jnl`	Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors. IEEE Trans. Signal Process. Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
2014	Misc	`conf`	A proximal gradient algorithm for tracking cascades over networks. ICASSP Brian Baingana, Gonzalo Mateos, Georgios B. Giannakis
2014	—	`conf`	Beyond Blocks: Hyperbolic Community Detection. ECML/PKDD (1) Miguel Araujo, Stephan Günnemann, Gonzalo Mateos, Christos Faloutsos
2014	—	`conf`	Imputation of streaming low-rank tensor data. SAM Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
2014	J	`jnl`	Modeling and Optimization for Big Data Analytics: (Statistical) learning tools for our era of data deluge. IEEE Signal Process. Mag. Konstantinos Slavakis, Georgios B. Giannakis, Gonzalo Mateos
2014	J	`jnl`	Proximal-Gradient Algorithms for Tracking Cascades Over Social Networks. IEEE J. Sel. Top. Signal Process. Brian Baingana, Gonzalo Mateos, Georgios B. Giannakis
2014	J	`jnl`	Stochastic Approximation vis-a-vis Online Learning for Big Data Analytics [Lecture Notes]. IEEE Signal Process. Mag. Konstantinos Slavakis, Seung-Jun Kim, Gonzalo Mateos, Georgios B. Giannakis
2014	J	`jnl`	Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors. CoRR Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
2013	J	`jnl`	Decentralized Sparsity-Regularized Rank Minimization: Algorithms and Applications. IEEE Trans. Signal Process. Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
2013	J	`jnl`	Dynamic Anomalography: Tracking Network Anomalies Via Sparsity and Low Rank. IEEE J. Sel. Top. Signal Process. Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
2013	J	`jnl`	Dynamic Network Cartography: Advances in Network Health Monitoring. IEEE Signal Process. Mag. Gonzalo Mateos, Ketan Rajawat
2013	J	`jnl`	Dynamic Structural Equation Models for Social Network Topology Inference. CoRR Brian Baingana, Gonzalo Mateos, Georgios B. Giannakis
2013	—	`conf`	Dynamic structural equation models for tracking topologies of social networksy. CAMSAP Brian Baingana, Gonzalo Mateos, Georgios B. Giannakis
2013	Misc	`conf`	Inference of Poisson count processes using low-rank tensor data. ICASSP Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis
2013	J	`jnl`	Load Curve Data Cleansing and Imputation Via Sparsity and Low Rank. IEEE Trans. Smart Grid Gonzalo Mateos, Georgios B. Giannakis
2013	J	`jnl`	Load curve data cleansing and imputation via sparsity and low rank CoRR Gonzalo Mateos, Georgios B. Giannakis
2013	J	`jnl`	Rank Regularization and Bayesian Inference for Tensor Completion and Extrapolation. IEEE Trans. Signal Process. Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis
2013	Misc	`conf`	Rank minimization for subspace tracking from incomplete data. ICASSP Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
2013	J	`jnl`	Rank regularization and Bayesian inference for tensor completion and extrapolation CoRR Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis
2013	J	`jnl`	Recovery of Low-Rank Plus Compressed Sparse Matrices With Application to Unveiling Traffic Anomalies. IEEE Trans. Inf. Theory Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
2012	J	`jnl`	Distributed Recursive Least-Squares: Stability and Performance Analysis. IEEE Trans. Signal Process. Gonzalo Mateos, Georgios B. Giannakis
2012	—	`conf`	Distributed nuclear norm minimization for matrix completion. SPAWC Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
2012	J	`jnl`	Dynamic Anomalography: Tracking Network Anomalies via Sparsity and Low Rank CoRR Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
2012	J	`jnl`	Dynamic Network Cartography CoRR Gonzalo Mateos, Ketan Rajawat
2012	—	`conf`	Exact recovery of low-rank plus compressed sparse matrices. SSP Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
2012	J	`jnl`	In-network Sparsity-regularized Rank Minimization: Algorithms and Applications CoRR Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
2012	—	`conf`	Nonparametric low-rank tensor imputation. SSP Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis
2012	J	`jnl`	Recovery of Low-Rank Plus Compressed Sparse Matrices with Application to Unveiling Traffic Anomalies CoRR Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
2012	J	`jnl`	Robust Nonparametric Regression via Sparsity Control With Application to Load Curve Data Cleansing. IEEE Trans. Signal Process. Gonzalo Mateos, Georgios B. Giannakis
2012	J	`jnl`	Robust PCA as Bilinear Decomposition With Outlier-Sparsity Regularization. IEEE Trans. Signal Process. Gonzalo Mateos, Georgios B. Giannakis
2012	—	`conf`	Spatiotemporal load curve data cleansing and imputation via sparsity and low rank. SmartGridComm Gonzalo Mateos, Georgios B. Giannakis
2011	Misc	`conf`	Basis pursuit for spectrum cartography. ICASSP Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis
2011	J	`jnl`	Distributed Recursive Least-Squares: Stability and Performance Analysis CoRR Gonzalo Mateos, Georgios B. Giannakis
2011	J	`jnl`	Group-Lasso on Splines for Spectrum Cartography. IEEE Trans. Signal Process. Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis
2011	J	`jnl`	Robust PCA as Bilinear Decomposition with Outlier-Sparsity Regularization CoRR Gonzalo Mateos, Georgios B. Giannakis
2011	—	`conf`	Robust conjoint analysis by controlling outlier sparsity. EUSIPCO Gonzalo Mateos, Georgios B. Giannakis
2011	Misc	`conf`	Robust nonparametric regression by controlling sparsity. ICASSP Gonzalo Mateos, Georgios B. Giannakis
2011	Misc	`conf`	USPACOR: Universal sparsity-controlling outlier rejection. ICASSP Georgios B. Giannakis, Gonzalo Mateos, Shahrokh Farahmand, Vassilis Kekatos, Hao Zhu
2011	—	`conf`	Unveiling anomalies in large-scale networks via sparsity and low rank. ACSCC Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
2010	Misc	`conf`	Distributed Lasso for in-network linear regression. ICASSP Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis
2010	J	`jnl`	Distributed sparse linear regression. IEEE Trans. Signal Process. Gonzalo Mateos, Juan Andrés Bazerque, Georgios B. Giannakis
2010	Misc	`conf`	Sparsity-cognizant overlapping co-clustering for behavior inference in social networks. ICASSP Hao Zhu, Gonzalo Mateos, Georgios B. Giannakis, Nicholas D. Sidiropoulos, Arindam Banerjee
2009	J	`jnl`	Distributed LMS for consensus-based in-network adaptive processing. IEEE Trans. Signal Process. Ioannis D. Schizas, Gonzalo Mateos, Georgios B. Giannakis
2009	J	`jnl`	Distributed recursive least-squares for consensus-based in-network adaptive estimation. IEEE Trans. Signal Process. Gonzalo Mateos, Ioannis D. Schizas, Georgios B. Giannakis
2009	J	`jnl`	Performance Analysis of the Consensus-Based Distributed LMS Algorithm. EURASIP J. Adv. Signal Process. Gonzalo Mateos, Ioannis D. Schizas, Georgios B. Giannakis
2008	Misc	`conf`	Stability analysis of the consensus-based distributed LMS algorithm. ICASSP Ioannis D. Schizas, Gonzalo Mateos, Georgios B. Giannakis