Gonzalo Mateos

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 87

Top Venues

Publications

Samuel Rey, Hamed Ajorlou, Gonzalo Mateos
Convolutional Learning on Directed Acyclic Graphs. CoRR (2024)
Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
Towards a Foundation Model for Brain Age Prediction using coVariance Neural Networks. CoRR (2024)
Marcelo Fiori, Bernardo Marenco, Federico Larroca, Paola Bermolen, Gonzalo Mateos
Gradient-Based Spectral Embeddings of Random Dot Product Graphs. IEEE Trans. Signal Inf. Process. over Networks 10 (2024)
Max Wasserman, Gonzalo Mateos
Graph Structure Learning with Interpretable Bayesian Neural Networks. CoRR (2024)
Seyed Saman Saboksayr, Gonzalo Mateos, Mariano Tepper
CoLiDE: Concomitant Linear DAG Estimation. ICLR (2024)
Öykü Deniz Köse, Yanning Shen, Gonzalo Mateos
Fairness-Aware Graph Filter Design. ACSSC (2023)
Zhenlong Xiao, He Fang, Stefano Tomasin, Gonzalo Mateos, Xianbin Wang
Joint Sampling and Reconstruction of Time-Varying Signals Over Directed Graphs. IEEE Trans. Signal Process. 71 (2023)
Saurabh Sihag, Gonzalo Mateos, Corey T. McMillan, Alejandro Ribeiro
Explainable Brain Age Prediction using coVariance Neural Networks. CoRR (2023)
Marcelo Fiori, Bernardo Marenco, Federico Larroca, Paola Bermolen, Gonzalo Mateos
Gradient-Based Spectral Embeddings of Random Dot Product Graphs. CoRR (2023)
Max Wasserman, Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
Learning Graph Structure from Convolutional Mixtures. Trans. Mach. Learn. Res. 2023 (2023)
Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
Explainable Brain Age Prediction using coVariance Neural Networks. NeurIPS (2023)
Seyed Saman Saboksayr, Gonzalo Mateos, Mariano Tepper
CoLiDE: Concomitant Linear DAG Estimation. CoRR (2023)
Oyku Deniz Kose, Yanning Shen, Gonzalo Mateos
Fairness-aware Optimal Graph Filter Design. CoRR (2023)
Öykü Deniz Köse, Yanning Shen, Gonzalo Mateos
Fairness-Aware Graph Filter Design. CoRR (2023)
Seyed Saman Saboksayr, Gonzalo Mateos
Dual-Based Online Learning of Dynamic Network Topologies. ICASSP (2023)
Saurabh Sihag, Gonzalo Mateos, Corey T. McMillan, Alejandro Ribeiro
Transferability of coVariance Neural Networks and Application to Interpretable Brain Age Prediction using Anatomical Features. CoRR (2023)
Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
Predicting Brain Age Using Transferable Covariance Neural Networks. ICASSP (2023)
Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos
Towards accelerated greedy sampling and reconstruction of bandlimited graph signals. Signal Process. 195 (2022)
Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
Predicting Brain Age using Transferable coVariance Neural Networks. CoRR (2022)
Marcelo Fiori, Bernardo Marenco, Federico Larroca, Paola Bermolen, Gonzalo Mateos
Algorithmic Advances for the Adjacency Spectral Embedding. EUSIPCO (2022)
Yang Li, Gonzalo Mateos
Learning Similarity-Preserving Representations of Brain Structure-Function Coupling. EUSIPCO (2022)
Chang Ye, Gonzalo Mateos
Learning to Identify Sources of Network Diffusion. EUSIPCO (2022)
Yang Li, Gonzalo Mateos, Zhengwu Zhang
Learning to Model the Relationship Between Brain Structural and Functional Connectomes. IEEE Trans. Signal Inf. Process. over Networks 8 (2022)
Max Wasserman, Gonzalo Mateos
pyGSL: A Graph Structure Learning Toolkit. CoRR (2022)
Max Wasserman, Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
Learning Graph Structure from Convolutional Mixtures. CoRR (2022)
Bernardo Marenco, Paola Bermolen, Marcelo Fiori, Federico Larroca, Gonzalo Mateos
Online Change Point Detection for Weighted and Directed Random Dot Product Graphs. CoRR (2022)
Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
coVariance Neural Networks. NeurIPS (2022)
Federico Larroca, Paola Bermolen, Marcelo Fiori, Bernardo Marenco, Gonzalo Mateos
Tracking the Adjacency Spectral Embedding for Streaming Graphs. IEEECONF (2022)
Bernardo Marenco, Paola Bermolen, Marcelo Fiori, Federico Larroca, Gonzalo Mateos
Online Change Point Detection for Weighted and Directed Random Dot Product Graphs. IEEE Trans. Signal Inf. Process. over Networks 8 (2022)
Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
coVariance Neural Networks. CoRR (2022)
Yang Li, Gonzalo Mateos
Networks of international football: communities, evolution and globalization of the game. Appl. Netw. Sci. 7 (1) (2022)
Yang Li, Gonzalo Mateos
Networks of international football: communities, evolution and globalization of the game. CoRR (2022)
Seyed Saman Saboksayr, Gonzalo Mateos
Accelerated Graph Learning From Smooth Signals. IEEE Signal Process. Lett. 28 (2021)
Federico Larroca, Paola Bermolen, Marcelo Fiori, Gonzalo Mateos
Change Point Detection in Weighted and Directed Random Dot Product Graphs. EUSIPCO (2021)
Seyed Saman Saboksayr, Gonzalo Mateos, Müjdat Çetin
Online Graph Learning under Smoothness Priors. EUSIPCO (2021)
Seyed Saman Saboksayr, Gonzalo Mateos, Müjdat Çetin
Online discriminative graph learning from multi-class smooth signals. Signal Process. 186 (2021)
Yang Li, Gonzalo Mateos, Zhengwu Zhang
Learning to Model the Relationship Between Brain Structural and Functional Connectomes. CoRR (2021)
Yang Li, Gonzalo Mateos
Graph Frequency Analysis of COVID-19 Incidence to Identify County-Level Contagion Patterns in the United States. ICASSP (2021)
Seyed Saman Saboksayr, Gonzalo Mateos, Müjdat Çetin
EEG-Based Emotion Classification Using Graph Signal Processing. ICASSP (2021)
Seyed Saman Saboksayr, Gonzalo Mateos
Accelerated Graph Learning from Smooth Signals. CoRR (2021)
Seyed Saman Saboksayr, Gonzalo Mateos, Müjdat Çetin
Online Graph Learning under Smoothness Priors. CoRR (2021)
Bernardo Marenco, Paola Bermolen, Marcelo Fiori, Federico Larroca, Gonzalo Mateos
Online Change Point Detection for Random Dot Product Graphs. ACSCC (2021)
Yang Li, Rasoul Shafipour, Gonzalo Mateos, Zhengwu Zhang
Supervised Graph Representation Learning for Modeling the Relationship between Structural and Functional Brain Connectivity. ICASSP (2020)
Carlos Lassance, Vincent Gripon, Gonzalo Mateos
Graph Topology Inference Benchmarks for Machine Learning. MLSP (2020)
Carlos Lassance, Vincent Gripon, Gonzalo Mateos
Graph topology inference benchmarks for machine learning. CoRR (2020)
Rasoul Shafipour, Gonzalo Mateos
Online proximal gradient for learning graphs from streaming signals. EUSIPCO (2020)
Antonio G. Marques, Santiago Segarra, Gonzalo Mateos
Signal Processing on Directed Graphs: The Role of Edge Directionality When Processing and Learning From Network Data. IEEE Signal Process. Mag. 37 (6) (2020)
Rasoul Shafipour, Gonzalo Mateos
Online Topology Inference from Streaming Stationary Graph Signals with Partial Connectivity Information. CoRR (2020)
Rasoul Shafipour, Gonzalo Mateos
Online Topology Inference from Streaming Stationary Graph Signals with Partial Connectivity Information. Algorithms 13 (9) (2020)
Fernando Gama, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
Rethinking sketching as sampling: A graph signal processing approach. Signal Process. 169 (2020)
Rasoul Shafipour, Gonzalo Mateos
Online Network Topology Inference with Partial Connectivity Informatio. CAMSAP (2019)
Rasoul Shafipour, Abolfazl Hashemi, Gonzalo Mateos, Haris Vikalo
Online Topology Inference from Streaming Stationary Graph Signals. DSW (2019)
Chang Ye, Gonzalo Mateos
Online Tensor Decomposition and Imputation for Count Data. DSW (2019)
Yang Li, Gonzalo Mateos
Identifying Structural Brain Networks from Functional Connectivity: A Network Deconvolution Approach. ICASSP (2019)
Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos, Evdokia Nikolova
A Directed Graph Fourier Transform With Spread Frequency Components. IEEE Trans. Signal Process. 67 (4) (2019)
Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos
A Windowed Digraph Fourier Transform. ICASSP (2019)
Gonzalo Mateos, Santiago Segarra, Antonio G. Marques, Alejandro Ribeiro
Connecting the Dots: Identifying Network Structure via Graph Signal Processing. IEEE Signal Process. Mag. 36 (3) (2019)
Yang Li, Rasoul Shafipour, Gonzalo Mateos, Zhengwu Zhang
Mapping Brain Structural Connectivities to Functional Networks Via Graph Encoder-Decoder With Interpretable Latent Embeddings. GlobalSIP (2019)
Chang Ye, Rasoul Shafipour, Gonzalo Mateos
Blind Identification of Invertible Graph Filters with Multiple Sparse Inputs. CoRR (2018)
Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos
Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation. ICASSP (2018)
Chang Ye, Rasoul Shafipour, Gonzalo Mateos
Blind Identification of Invertible Graph Filters with Multiple Sparse Inputs. EUSIPCO (2018)
Rasoul Shafipour, Gonzalo Mateos
Spread and Sparse: Learning Interpretable Transforms for Bandlimited Signals on Directed Graphs. ACSSC (2018)
Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos, Evdokia Nikolova
Digraph Fourier Transform via Spectral Dispersion Minimization. ICASSP (2018)
Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos
Identifying the Topology of Undirected Networks from Diffused Non-stationary Graph Signals. CoRR (2018)
Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos
A Novel Scheme for Support Identification and Iterative Sampling of Bandlimited Graph Signals. GlobalSIP (2018)
Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos
Directed Network Topology Inference via Graph Filter Identification. DSW (2018)
Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos
Identifying Undirected Network Structure via Semidefinite Relaxation. ICASSP (2018)
Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
Network Topology Inference from Spectral Templates. IEEE Trans. Signal Inf. Process. over Networks 3 (3) (2017)
Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
Robust network topology inference. ICASSP (2017)
Rasoul Shafipour, Raiyan Abdul Baten, Md. Kamrul Hasan, Gourab Ghoshal, Gonzalo Mateos, Mohammed E. Hoque
Closing the Knowledge Gap in an Online Learning Community: Network-Analytic Discoveries, Simulation and Prediction. CoRR (2017)
Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos, Evdokia Nikolova
A digraph fourier transform with spread frequency components. GlobalSIP (2017)
Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos
Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation. CoRR (2017)
Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, Alejandro Ribeiro
Blind Identification of Graph Filters. IEEE Trans. Signal Process. 65 (5) (2017)
Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos
Network topology inference from non-stationary graph signals. ICASSP (2017)
Rijul Magu, Gonzalo Mateos
United Nations General Assembly Vote Similarity Networks. COMPLEX NETWORKS (2017)
Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
Blind identification of graph filters with multiple sparse inputs. ICASSP (2016)
Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, Alejandro Ribeiro
Blind Identification of Graph Filters. CoRR (2016)
Arian Shoari, Gonzalo Mateos
On the Definition and Existence of a Minimum Variance Unbiased Estimator for Target Localization. IEEE Signal Process. Lett. 23 (7) (2016)
Antonio G. Marques, Gonzalo Mateos, Yonina C. Eldar
SIGIBE: Solving random bilinear equations via gradient descent with spectral initialization. EUSIPCO (2016)
Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
Network topology identification from spectral templates. SSP (2016)
Fernando Gama, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
Rethinking sketching as sampling: Linear transforms of graph signals. ACSSC (2016)
Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
Network Topology Inference from Spectral Templates. CoRR (2016)
Fernando Garna, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
Rethinking sketching as sampling: Efficient approximate solution to linear inverse problems. GlobalSIP (2016)
Fernando Gama, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
Rethinking Sketching as Sampling: A Graph Signal Processing Approach. CoRR (2016)
Arian Shoari, Gonzalo Mateos, Alireza Seyedi
Analysis of Target Localization With Ideal Binary Detectors via Likelihood Function Smoothing. IEEE Signal Process. Lett. 23 (5) (2016)
Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
Network Topology Identification from Spectral Templates. CoRR (2016)
Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
Network topology identification from imperfect spectral templates. ACSSC (2016)
Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, Alejandro Ribeiro
Blind identification of graph filters with sparse inputs. CAMSAP (2015)
Georgios B. Giannakis, Qing Ling, Gonzalo Mateos, Ioannis D. Schizas, Hao Zhu
Decentralized learning for wireless communications and networking. CoRR (2015)
Brian Baingana, Emiliano Dall'Anese, Gonzalo Mateos, Georgios B. Giannakis
Robust kriged Kalman filtering. ACSSC (2015)
Moeen Hassanalieragh, Alex Page, Tolga Soyata, Gaurav Sharma, Mehmet K. Aktas, Gonzalo Mateos, Burak Kantarci, Silvana Andreescu
Health Monitoring and Management Using Internet-of-Things (IoT) Sensing with Cloud-Based Processing: Opportunities and Challenges. SCC (2015)
Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors. IEEE Trans. Signal Process. 63 (10) (2015)
Brian Baingana, Gonzalo Mateos, Georgios B. Giannakis
Proximal-Gradient Algorithms for Tracking Cascades Over Social Networks. IEEE J. Sel. Top. Signal Process. 8 (4) (2014)
Konstantinos Slavakis, Seung-Jun Kim, Gonzalo Mateos, Georgios B. Giannakis
Stochastic Approximation vis-a-vis Online Learning for Big Data Analytics [Lecture Notes]. IEEE Signal Process. Mag. 31 (6) (2014)
Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors. CoRR (2014)
Brian Baingana, Gonzalo Mateos, Georgios B. Giannakis
A proximal gradient algorithm for tracking cascades over networks. ICASSP (2014)
Konstantinos Slavakis, Georgios B. Giannakis, Gonzalo Mateos
Modeling and Optimization for Big Data Analytics: (Statistical) learning tools for our era of data deluge. IEEE Signal Process. Mag. 31 (5) (2014)
Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
Imputation of streaming low-rank tensor data. SAM (2014)
Miguel Araujo, Stephan Günnemann, Gonzalo Mateos, Christos Faloutsos
Beyond Blocks: Hyperbolic Community Detection. ECML/PKDD (1) (2014)
Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
Decentralized Sparsity-Regularized Rank Minimization: Algorithms and Applications. IEEE Trans. Signal Process. 61 (21) (2013)

Gonzalo Mateos.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Gonzalo Mateos