| 2025 | ACSSC | Dirichlet Meets Horvitz and Thompson: Estimating Homophily in Large Networks via Sampling. | Hamed Ajorlou, Gonzalo Mateos, Luana Ruiz |
| 2025 | ACSSC | Task-driven Heterophilic Graph Structure Learning. | Ayushman Raghuvanshi, Gonzalo Mateos, Sundeep Prabhakar Chepuri |
| 2025 | ACSSC | Non-negative DAG Learning from Time-Series Data. | Samuel Rey, Gonzalo Mateos |
| 2025 | ACSSC | Graph Contrastive Learning for Connectome Classification. | Martn Schmidt, Sara Silva, Federico Larroca, Gonzalo Mateos, Pablo Mus |
| 2025 | ICASSP | Online Proximal ADMM for Graph Learning from Streaming Smooth Signals. | Hector Chahuara, Gonzalo Mateos |
| 2025 | ICASSP | Non-negative Weighted DAG Structure Learning. | Samuel Rey, Seyed Saman Saboksayr, Gonzalo Mateos |
| 2024 | ACSSC | A Random Dot Product Graph Model for Weighted and Directed Networks. | Bernardo Marenco, Paola Bermolen, Marcelo Fiori, Federico Larroca, Gonzalo Mateos |
| 2024 | ACSSC | Convolutional Learning on Directed Acyclic Graphs. | Samuel Rey, Hamed Ajorlou, Gonzalo Mateos |
| 2024 | ICLR | CoLiDE: Concomitant Linear DAG Estimation. | Seyed Saman Saboksayr, Gonzalo Mateos, Mariano Tepper |
| 2023 | ACSSC | Fairness-Aware Graph Filter Design. | yk Deniz Kse, Yanning Shen, Gonzalo Mateos |
| 2023 | ICASSP | Dual-Based Online Learning of Dynamic Network Topologies. | Seyed Saman Saboksayr, Gonzalo Mateos |
| 2023 | ICASSP | Predicting Brain Age Using Transferable Covariance Neural Networks. | Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro |
| 2022 | ACSSC | Tracking the Adjacency Spectral Embedding for Streaming Graphs. | Federico Larroca, Paola Bermolen, Marcelo Fiori, Bernardo Marenco, Gonzalo Mateos |
| 2021 | ACSSC | Online Change Point Detection for Random Dot Product Graphs. | Bernardo Marenco, Paola Bermolen, Marcelo Fiori, Federico Larroca, Gonzalo Mateos |
| 2021 | ICASSP | Graph Frequency Analysis of COVID-19 Incidence to Identify County-Level Contagion Patterns in the United States. | Yang Li, Gonzalo Mateos |
| 2021 | ICASSP | EEG-Based Emotion Classification Using Graph Signal Processing. | Seyed Saman Saboksayr, Gonzalo Mateos, Mjdat etin |
| 2020 | ICASSP | Supervised Graph Representation Learning for Modeling the Relationship between Structural and Functional Brain Connectivity. | Yang Li, Rasoul Shafipour, Gonzalo Mateos, Zhengwu Zhang |
| 2019 | ICASSP | Identifying Structural Brain Networks from Functional Connectivity: A Network Deconvolution Approach. | Yang Li, Gonzalo Mateos |
| 2019 | ICASSP | A Windowed Digraph Fourier Transform. | Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos |
| 2018 | ACSSC | Spread and Sparse: Learning Interpretable Transforms for Bandlimited Signals on Directed Graphs. | Rasoul Shafipour, Gonzalo Mateos |
| 2018 | ICASSP | Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation. | Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos |
| 2018 | ICASSP | Digraph Fourier Transform via Spectral Dispersion Minimization. | Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos, Evdokia Nikolova |
| 2018 | ICASSP | Identifying Undirected Network Structure via Semidefinite Relaxation. | Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos |
| 2017 | ICASSP | Robust network topology inference. | Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro |
| 2017 | ICASSP | Network topology inference from non-stationary graph signals. | Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos |
| 2016 | ACSSC | Rethinking sketching as sampling: Linear transforms of graph signals. | Fernando Gama, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro |
| 2016 | ACSSC | Network topology identification from imperfect spectral templates. | Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro |
| 2016 | ICASSP | Blind identification of graph filters with multiple sparse inputs. | Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro |
| 2015 | ACSSC | Robust kriged Kalman filtering. | Brian Baingana, Emiliano Dall'Anese, Gonzalo Mateos, Georgios B. Giannakis |
| 2014 | ICASSP | A proximal gradient algorithm for tracking cascades over networks. | Brian Baingana, Gonzalo Mateos, Georgios B. Giannakis |
| 2013 | ICASSP | Inference of Poisson count processes using low-rank tensor data. | Juan Andrs Bazerque, Gonzalo Mateos, Georgios B. Giannakis |
| 2013 | ICASSP | Rank minimization for subspace tracking from incomplete data. | Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis |
| 2011 | ACSSC | Unveiling anomalies in large-scale networks via sparsity and low rank. | Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis |
| 2011 | ICASSP | Basis pursuit for spectrum cartography. | Juan Andrs Bazerque, Gonzalo Mateos, Georgios B. Giannakis |
| 2011 | ICASSP | USPACOR: Universal sparsity-controlling outlier rejection. | Georgios B. Giannakis, Gonzalo Mateos, Shahrokh Farahmand, Vassilis Kekatos, Hao Zhu |
| 2011 | ICASSP | Robust nonparametric regression by controlling sparsity. | Gonzalo Mateos, Georgios B. Giannakis |
| 2010 | ICASSP | Distributed Lasso for in-network linear regression. | Juan Andrs Bazerque, Gonzalo Mateos, Georgios B. Giannakis |
| 2010 | ICASSP | Sparsity-cognizant overlapping co-clustering for behavior inference in social networks. | Hao Zhu, Gonzalo Mateos, Georgios B. Giannakis, Nicholas D. Sidiropoulos, Arindam Banerjee |
| 2008 | ICASSP | Stability analysis of the consensus-based distributed LMS algorithm. | Ioannis D. Schizas, Gonzalo Mateos, Georgios B. Giannakis |