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Journal Articles
- 2024
[j36]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: 1-16 (2024)- 2023
- [j35]Max Wasserman, Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro:
Learning Graph Structure from Convolutional Mixtures. Trans. Mach. Learn. Res. 2023 (2023) - [j34]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: 2204-2219 (2023) - 2022
- [j33]Yang Li, Gonzalo Mateos:
Networks of international football: communities, evolution and globalization of the game. Appl. Netw. Sci. 7(1): 59 (2022) - [j32]Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos:
Towards accelerated greedy sampling and reconstruction of bandlimited graph signals. Signal Process. 195: 108505 (2022) - [j31]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: 144-159 (2022) - [j30]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: 830-843 (2022) - 2021
- [j29]Seyed Saman Saboksayr, Gonzalo Mateos, Müjdat Çetin:
Online discriminative graph learning from multi-class smooth signals. Signal Process. 186: 108101 (2021) - [j28]Seyed Saman Saboksayr, Gonzalo Mateos:
Accelerated Graph Learning From Smooth Signals. IEEE Signal Process. Lett. 28: 2192-2196 (2021) - 2020
- [j27]Rasoul Shafipour, Gonzalo Mateos:
Online Topology Inference from Streaming Stationary Graph Signals with Partial Connectivity Information. Algorithms 13(9): 228 (2020) - [j26]Fernando Gama, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Rethinking sketching as sampling: A graph signal processing approach. Signal Process. 169: 107404 (2020) - [j25]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): 99-116 (2020) - 2019
- [j24]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): 16-43 (2019) - [j23]Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos, Evdokia Nikolova:
A Directed Graph Fourier Transform With Spread Frequency Components. IEEE Trans. Signal Process. 67(4): 946-960 (2019) - 2017
- [j22]Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Network Topology Inference from Spectral Templates. IEEE Trans. Signal Inf. Process. over Networks 3(3): 467-483 (2017) - [j21]Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, Alejandro Ribeiro:
Blind Identification of Graph Filters. IEEE Trans. Signal Process. 65(5): 1146-1159 (2017) - 2016
- [j20]Arian Shoari, Gonzalo Mateos, Alireza Seyedi:
Analysis of Target Localization With Ideal Binary Detectors via Likelihood Function Smoothing. IEEE Signal Process. Lett. 23(5): 737-741 (2016) - [j19]Arian Shoari, Gonzalo Mateos:
On the Definition and Existence of a Minimum Variance Unbiased Estimator for Target Localization. IEEE Signal Process. Lett. 23(7): 964-968 (2016) - 2015
- [j18]Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis:
Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors. IEEE Trans. Signal Process. 63(10): 2663-2677 (2015) - 2014
- [j17]Brian Baingana, Gonzalo Mateos, Georgios B. Giannakis:
Proximal-Gradient Algorithms for Tracking Cascades Over Social Networks. IEEE J. Sel. Top. Signal Process. 8(4): 563-575 (2014) - [j16]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): 18-31 (2014) - [j15]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): 124-129 (2014) - 2013
- [j14]Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis:
Dynamic Anomalography: Tracking Network Anomalies Via Sparsity and Low Rank. IEEE J. Sel. Top. Signal Process. 7(1): 50-66 (2013) - [j13]Gonzalo Mateos, Ketan Rajawat:
Dynamic Network Cartography: Advances in Network Health Monitoring. IEEE Signal Process. Mag. 30(3): 129-143 (2013) - [j12]Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis:
Recovery of Low-Rank Plus Compressed Sparse Matrices With Application to Unveiling Traffic Anomalies. IEEE Trans. Inf. Theory 59(8): 5186-5205 (2013) - [j11]Gonzalo Mateos, Georgios B. Giannakis:
Load Curve Data Cleansing and Imputation Via Sparsity and Low Rank. IEEE Trans. Smart Grid 4(4): 2347-2355 (2013) - [j10]Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis:
Decentralized Sparsity-Regularized Rank Minimization: Algorithms and Applications. IEEE Trans. Signal Process. 61(21): 5374-5388 (2013) - [j9]Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis:
Rank Regularization and Bayesian Inference for Tensor Completion and Extrapolation. IEEE Trans. Signal Process. 61(22): 5689-5703 (2013) - 2012
- [j8]Gonzalo Mateos, Georgios B. Giannakis:
Robust Nonparametric Regression via Sparsity Control With Application to Load Curve Data Cleansing. IEEE Trans. Signal Process. 60(4): 1571-1584 (2012) - [j7]Gonzalo Mateos, Georgios B. Giannakis:
Distributed Recursive Least-Squares: Stability and Performance Analysis. IEEE Trans. Signal Process. 60(7): 3740-3754 (2012) - [j6]Gonzalo Mateos, Georgios B. Giannakis:
Robust PCA as Bilinear Decomposition With Outlier-Sparsity Regularization. IEEE Trans. Signal Process. 60(10): 5176-5190 (2012) - 2011
- [j5]Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis:
Group-Lasso on Splines for Spectrum Cartography. IEEE Trans. Signal Process. 59(10): 4648-4663 (2011) - 2010
- [j4]Gonzalo Mateos, Juan Andrés Bazerque, Georgios B. Giannakis:
Distributed sparse linear regression. IEEE Trans. Signal Process. 58(10): 5262-5276 (2010) - 2009
- [j3]Gonzalo Mateos, Ioannis D. Schizas, Georgios B. Giannakis:
Performance Analysis of the Consensus-Based Distributed LMS Algorithm. EURASIP J. Adv. Signal Process. 2009 (2009) - [j2]Ioannis D. Schizas, Gonzalo Mateos, Georgios B. Giannakis:
Distributed LMS for consensus-based in-network adaptive processing. IEEE Trans. Signal Process. 57(6): 2365-2382 (2009) - [j1]Gonzalo Mateos, Ioannis D. Schizas, Georgios B. Giannakis:
Distributed recursive least-squares for consensus-based in-network adaptive estimation. IEEE Trans. Signal Process. 57(11): 4583-4588 (2009)
Conference and Workshop Papers
- 2024
- [c64]Seyed Saman Saboksayr, Gonzalo Mateos, Mariano Tepper:
CoLiDE: Concomitant Linear DAG Estimation. ICLR 2024 - [c63]Oyku Deniz Kose, Gonzalo Mateos, Yanning Shen:
Filtering as Rewiring for Bias Mitigation on Graphs. SAM 2024: 1-5 - [c62]Seyed Saman Saboksayr, Gonzalo Mateos, Mariano Tepper:
Block Successive Convex Approximation for Concomitant Linear DAG Estimation. SAM 2024: 1-5 - 2023
- [c61]Öykü Deniz Köse, Yanning Shen, Gonzalo Mateos:
Fairness-Aware Graph Filter Design. ACSSC 2023: 330-334 - [c60]Seyed Saman Saboksayr, Gonzalo Mateos:
Dual-Based Online Learning of Dynamic Network Topologies. ICASSP 2023: 1-5 - [c59]Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro:
Predicting Brain Age Using Transferable Covariance Neural Networks. ICASSP 2023: 1-5 - [c58]Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro:
Explainable Brain Age Prediction using coVariance Neural Networks. NeurIPS 2023 - 2022
- [c57]Federico Larroca, Paola Bermolen, Marcelo Fiori, Bernardo Marenco, Gonzalo Mateos:
Tracking the Adjacency Spectral Embedding for Streaming Graphs. IEEECONF 2022: 847-851 - [c56]Marcelo Fiori, Bernardo Marenco, Federico Larroca, Paola Bermolen, Gonzalo Mateos:
Algorithmic Advances for the Adjacency Spectral Embedding. EUSIPCO 2022: 672-676 - [c55]Chang Ye, Gonzalo Mateos:
Learning to Identify Sources of Network Diffusion. EUSIPCO 2022: 727-731 - [c54]Yang Li, Gonzalo Mateos:
Learning Similarity-Preserving Representations of Brain Structure-Function Coupling. EUSIPCO 2022: 922-926 - [c53]Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro:
coVariance Neural Networks. NeurIPS 2022 - 2021
- [c52]Bernardo Marenco, Paola Bermolen, Marcelo Fiori, Federico Larroca, Gonzalo Mateos:
Online Change Point Detection for Random Dot Product Graphs. ACSCC 2021: 1525-1530 - [c51]Federico Larroca, Paola Bermolen, Marcelo Fiori, Gonzalo Mateos:
Change Point Detection in Weighted and Directed Random Dot Product Graphs. EUSIPCO 2021: 1810-1814 - [c50]Seyed Saman Saboksayr, Gonzalo Mateos, Müjdat Çetin:
Online Graph Learning under Smoothness Priors. EUSIPCO 2021: 1820-1824 - [c49]Seyed Saman Saboksayr, Gonzalo Mateos, Müjdat Çetin:
EEG-Based Emotion Classification Using Graph Signal Processing. ICASSP 2021: 1065-1069 - [c48]Yang Li, Gonzalo Mateos:
Graph Frequency Analysis of COVID-19 Incidence to Identify County-Level Contagion Patterns in the United States. ICASSP 2021: 3230-3234 - 2020
- [c47]Rasoul Shafipour, Gonzalo Mateos:
Online proximal gradient for learning graphs from streaming signals. EUSIPCO 2020: 865-869 - [c46]Yang Li, Rasoul Shafipour, Gonzalo Mateos, Zhengwu Zhang:
Supervised Graph Representation Learning for Modeling the Relationship between Structural and Functional Brain Connectivity. ICASSP 2020: 9065-9069 - [c45]Carlos Lassance, Vincent Gripon, Gonzalo Mateos:
Graph Topology Inference Benchmarks for Machine Learning. MLSP 2020: 1-6 - 2019
- [c44]Rasoul Shafipour, Gonzalo Mateos:
Online Network Topology Inference with Partial Connectivity Informatio. CAMSAP 2019: 226-230 - [c43]Chang Ye, Gonzalo Mateos:
Online Tensor Decomposition and Imputation for Count Data. DSW 2019: 17-21 - [c42]Rasoul Shafipour, Abolfazl Hashemi, Gonzalo Mateos, Haris Vikalo:
Online Topology Inference from Streaming Stationary Graph Signals. DSW 2019: 140-144 - [c41]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: 1-5 - [c40]Yang Li, Gonzalo Mateos:
Identifying Structural Brain Networks from Functional Connectivity: A Network Deconvolution Approach. ICASSP 2019: 1135-1139 - [c39]Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos:
A Windowed Digraph Fourier Transform. ICASSP 2019: 7525-7529 - 2018
- [c38]Rasoul Shafipour, Gonzalo Mateos:
Spread and Sparse: Learning Interpretable Transforms for Bandlimited Signals on Directed Graphs. ACSSC 2018: 742-746 - [c37]Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos:
Directed Network Topology Inference via Graph Filter Identification. DSW 2018: 210-214 - [c36]Chang Ye, Rasoul Shafipour, Gonzalo Mateos:
Blind Identification of Invertible Graph Filters with Multiple Sparse Inputs. EUSIPCO 2018: 121-125 - [c35]Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos:
A Novel Scheme for Support Identification and Iterative Sampling of Bandlimited Graph Signals. GlobalSIP 2018: 778-782 - [c34]Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos:
Identifying Undirected Network Structure via Semidefinite Relaxation. ICASSP 2018: 4049-4053 - [c33]Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos:
Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation. ICASSP 2018: 4179-4183 - [c32]Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos, Evdokia Nikolova:
Digraph Fourier Transform via Spectral Dispersion Minimization. ICASSP 2018: 6284-6288 - 2017
- [c31]Rijul Magu, Gonzalo Mateos:
United Nations General Assembly Vote Similarity Networks. COMPLEX NETWORKS 2017: 1174-1183 - [c30]Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos, Evdokia Nikolova:
A digraph fourier transform with spread frequency components. GlobalSIP 2017: 583-587 - [c29]Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos:
Network topology inference from non-stationary graph signals. ICASSP 2017: 5870-5874 - [c28]Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Robust network topology inference. ICASSP 2017: 6518-6522 - 2016
- [c27]Fernando Gama, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Rethinking sketching as sampling: Linear transforms of graph signals. ACSSC 2016: 522-526 - [c26]Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Network topology identification from imperfect spectral templates. ACSSC 2016: 1465-1469 - [c25]Antonio G. Marques, Gonzalo Mateos, Yonina C. Eldar:
SIGIBE: Solving random bilinear equations via gradient descent with spectral initialization. EUSIPCO 2016: 230-234 - [c24]Fernando Garna, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Rethinking sketching as sampling: Efficient approximate solution to linear inverse problems. GlobalSIP 2016: 390-394 - [c23]Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Blind identification of graph filters with multiple sparse inputs. ICASSP 2016: 4099-4103 - [c22]Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Network topology identification from spectral templates. SSP 2016: 1-5 - 2015
- [c21]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: 285-292 - [c20]Brian Baingana, Emiliano Dall'Anese, Gonzalo Mateos, Georgios B. Giannakis:
Robust kriged Kalman filtering. ACSSC 2015: 1525-1529 - [c19]Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, Alejandro Ribeiro:
Blind identification of graph filters with sparse inputs. CAMSAP 2015: 449-452 - 2014
- [c18]Brian Baingana, Gonzalo Mateos, Georgios B. Giannakis:
A proximal gradient algorithm for tracking cascades over networks. ICASSP 2014: 4778-4782 - [c17]Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis:
Imputation of streaming low-rank tensor data. SAM 2014: 433-436 - [c16]Miguel Araujo, Stephan Günnemann, Gonzalo Mateos, Christos Faloutsos:
Beyond Blocks: Hyperbolic Community Detection. ECML/PKDD (1) 2014: 50-65 - 2013
- [c15]Brian Baingana, Gonzalo Mateos, Georgios B. Giannakis:
Dynamic structural equation models for tracking topologies of social networksy. CAMSAP 2013: 292-295 - [c14]Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis:
Rank minimization for subspace tracking from incomplete data. ICASSP 2013: 5681-5685 - [c13]Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis:
Inference of Poisson count processes using low-rank tensor data. ICASSP 2013: 5989-5993 - 2012
- [c12]Gonzalo Mateos, Georgios B. Giannakis:
Spatiotemporal load curve data cleansing and imputation via sparsity and low rank. SmartGridComm 2012: 653-658 - [c11]Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis:
Distributed nuclear norm minimization for matrix completion. SPAWC 2012: 354-358 - [c10]Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis:
Exact recovery of low-rank plus compressed sparse matrices. SSP 2012: 49-52 - [c9]Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis:
Nonparametric low-rank tensor imputation. SSP 2012: 876-879 - 2011
- [c8]Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis:
Unveiling anomalies in large-scale networks via sparsity and low rank. ACSCC 2011: 403-407 - [c7]Gonzalo Mateos, Georgios B. Giannakis:
Robust conjoint analysis by controlling outlier sparsity. EUSIPCO 2011: 1914-1918 - [c6]Georgios B. Giannakis, Gonzalo Mateos, Shahrokh Farahmand, Vassilis Kekatos, Hao Zhu:
USPACOR: Universal sparsity-controlling outlier rejection. ICASSP 2011: 1952-1955 - [c5]Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis:
Basis pursuit for spectrum cartography. ICASSP 2011: 2992-2995 - [c4]Gonzalo Mateos, Georgios B. Giannakis:
Robust nonparametric regression by controlling sparsity. ICASSP 2011: 3880-3883 - 2010
- [c3]Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis:
Distributed Lasso for in-network linear regression. ICASSP 2010: 2978-2981 - [c2]Hao Zhu, Gonzalo Mateos, Georgios B. Giannakis, Nicholas D. Sidiropoulos, Arindam Banerjee:
Sparsity-cognizant overlapping co-clustering for behavior inference in social networks. ICASSP 2010: 3534-3537 - 2008
- [c1]Ioannis D. Schizas, Gonzalo Mateos, Georgios B. Giannakis:
Stability analysis of the consensus-based distributed LMS algorithm. ICASSP 2008: 3289-3292
Informal and Other Publications
- 2024
- [i42]Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro:
Towards a Foundation Model for Brain Age Prediction using coVariance Neural Networks. CoRR abs/2402.07684 (2024) - [i41]Samuel Rey, Hamed Ajorlou, Gonzalo Mateos:
Convolutional Learning on Directed Acyclic Graphs. CoRR abs/2405.03056 (2024) - [i40]Max Wasserman, Gonzalo Mateos:
Graph Structure Learning with Interpretable Bayesian Neural Networks. CoRR abs/2406.14786 (2024) - [i39]Samuel Rey, Seyed Saman Saboksayr, Gonzalo Mateos:
Non-negative Weighted DAG Structure Learning. CoRR abs/2409.07880 (2024) - [i38]Hector Chahuara, Gonzalo Mateos:
Online Proximal ADMM for Graph Learning from Streaming Smooth Signals. CoRR abs/2409.12916 (2024) - [i37]Max Wasserman, Gonzalo Mateos:
Stabilizing the Kumaraswamy Distribution. CoRR abs/2410.00660 (2024) - 2023
- [i36]Öykü Deniz Köse, Yanning Shen, Gonzalo Mateos:
Fairness-Aware Graph Filter Design. CoRR abs/2303.11459 (2023) - [i35]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 abs/2305.01807 (2023) - [i34]Saurabh Sihag, Gonzalo Mateos, Corey T. McMillan, Alejandro Ribeiro:
Explainable Brain Age Prediction using coVariance Neural Networks. CoRR abs/2305.18370 (2023) - [i33]Marcelo Fiori, Bernardo Marenco, Federico Larroca, Paola Bermolen, Gonzalo Mateos:
Gradient-Based Spectral Embeddings of Random Dot Product Graphs. CoRR abs/2307.13818 (2023) - [i32]Seyed Saman Saboksayr, Gonzalo Mateos, Mariano Tepper:
CoLiDE: Concomitant Linear DAG Estimation. CoRR abs/2310.02895 (2023) - [i31]Oyku Deniz Kose, Yanning Shen, Gonzalo Mateos:
Fairness-aware Optimal Graph Filter Design. CoRR abs/2310.14432 (2023) - 2022
- [i30]Bernardo Marenco, Paola Bermolen, Marcelo Fiori, Federico Larroca, Gonzalo Mateos:
Online Change Point Detection for Weighted and Directed Random Dot Product Graphs. CoRR abs/2201.11222 (2022) - [i29]Max Wasserman, Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro:
Learning Graph Structure from Convolutional Mixtures. CoRR abs/2205.09575 (2022) - [i28]Yang Li, Gonzalo Mateos:
Networks of international football: communities, evolution and globalization of the game. CoRR abs/2205.10599 (2022) - [i27]Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro:
coVariance Neural Networks. CoRR abs/2205.15856 (2022) - [i26]Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro:
Predicting Brain Age using Transferable coVariance Neural Networks. CoRR abs/2210.16363 (2022) - [i25]Max Wasserman, Gonzalo Mateos:
pyGSL: A Graph Structure Learning Toolkit. CoRR abs/2211.03583 (2022) - 2021
- [i24]Seyed Saman Saboksayr, Gonzalo Mateos, Müjdat Çetin:
Online Graph Learning under Smoothness Priors. CoRR abs/2103.03762 (2021) - [i23]Seyed Saman Saboksayr, Gonzalo Mateos:
Accelerated Graph Learning from Smooth Signals. CoRR abs/2110.09677 (2021) - [i22]Yang Li, Gonzalo Mateos, Zhengwu Zhang:
Learning to Model the Relationship Between Brain Structural and Functional Connectomes. CoRR abs/2112.09906 (2021) - 2020
- [i21]Rasoul Shafipour, Gonzalo Mateos:
Online Topology Inference from Streaming Stationary Graph Signals with Partial Connectivity Information. CoRR abs/2007.03653 (2020) - [i20]Carlos Lassance, Vincent Gripon, Gonzalo Mateos:
Graph topology inference benchmarks for machine learning. CoRR abs/2007.08216 (2020) - 2018
- [i19]Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos:
Identifying the Topology of Undirected Networks from Diffused Non-stationary Graph Signals. CoRR abs/1801.03862 (2018) - [i18]Chang Ye, Rasoul Shafipour, Gonzalo Mateos:
Blind Identification of Invertible Graph Filters with Multiple Sparse Inputs. CoRR abs/1803.04072 (2018) - 2017
- [i17]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 abs/1707.01886 (2017) - [i16]Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos:
Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation. CoRR abs/1711.00142 (2017) - 2016
- [i15]Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Network Topology Identification from Spectral Templates. CoRR abs/1604.02610 (2016) - [i14]Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, Alejandro Ribeiro:
Blind Identification of Graph Filters. CoRR abs/1604.07234 (2016) - [i13]Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Network Topology Inference from Spectral Templates. CoRR abs/1608.03008 (2016) - [i12]Fernando Gama, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Rethinking Sketching as Sampling: A Graph Signal Processing Approach. CoRR abs/1611.00119 (2016) - 2015
- [i11]Georgios B. Giannakis, Qing Ling, Gonzalo Mateos, Ioannis D. Schizas, Hao Zhu:
Decentralized learning for wireless communications and networking. CoRR abs/1503.08855 (2015) - 2014
- [i10]Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis:
Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors. CoRR abs/1404.4667 (2014) - 2013
- [i9]Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis:
Rank regularization and Bayesian inference for tensor completion and extrapolation. CoRR abs/1301.7619 (2013) - [i8]Gonzalo Mateos, Georgios B. Giannakis:
Load curve data cleansing and imputation via sparsity and low rank. CoRR abs/1301.7627 (2013) - [i7]Brian Baingana, Gonzalo Mateos, Georgios B. Giannakis:
Dynamic Structural Equation Models for Social Network Topology Inference. CoRR abs/1309.6683 (2013) - 2012
- [i6]Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis:
In-network Sparsity-regularized Rank Minimization: Algorithms and Applications. CoRR abs/1203.1570 (2012) - [i5]Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis:
Recovery of Low-Rank Plus Compressed Sparse Matrices with Application to Unveiling Traffic Anomalies. CoRR abs/1204.6537 (2012) - [i4]Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis:
Dynamic Anomalography: Tracking Network Anomalies via Sparsity and Low Rank. CoRR abs/1208.4043 (2012) - [i3]Gonzalo Mateos, Ketan Rajawat:
Dynamic Network Cartography. CoRR abs/1211.6950 (2012) - 2011
- [i2]Gonzalo Mateos, Georgios B. Giannakis:
Distributed Recursive Least-Squares: Stability and Performance Analysis. CoRR abs/1109.4627 (2011) - [i1]Gonzalo Mateos, Georgios B. Giannakis:
Robust PCA as Bilinear Decomposition with Outlier-Sparsity Regularization. CoRR abs/1111.1788 (2011)
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-06 21:33 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
