Antonio G. Marques

174 papers A* 3A 1B 3Misc 38Journal 94Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Explainable Temporal Inference for Irregular Multivariate Time Series. A Case Study for Early Prediction of Multidrug Resistance. IEEE Trans. Biomed. Eng. Óscar Escudero-Arnanz, Cristina Soguero-Ruíz, Joaquín Álvarez-Rodríguez, Antonio G. Marques
2026	J	`jnl`	Matched Topological Subspace Detector. IEEE Trans. Signal Process. Chengen Liu, Victor M. Tenorio, Antonio G. Marques, Elvin Isufi
2025	J	`jnl`	A Few Moments Please: Scalable Graphon Learning via Moment Matching. CoRR Reza Ramezanpour, Victor M. Tenorio, Antonio G. Marques, Ashutosh Sabharwal, Santiago Segarra
2025	J	`jnl`	A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning. CoRR Sergio Rozada, Santiago Paternain, Juan Andrés Bazerque, Antonio G. Marques
2025	J	`jnl`	Adapting to Heterophilic Graph Data with Structure-Guided Neighbor Discovery. CoRR Victor M. Tenorio, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques
2025	B	`conf`	Advanced Graph-Based Approaches for Predicting Antimicrobial Resistance in Intensive Care Units. CBMS Paula Martín-Palomeque, Óscar Escudero-Arnanz, Cristina Soguero-Ruíz, Antonio G. Marques
2025	J	`jnl`	An MDP Model for Censoring in Harvesting Sensors: Optimal and Approximated Solutions. CoRR Jesus Fernandez-Bes, Jesús Cid-Sueiro, Antonio G. Marques
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	A*	`conf`	Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs. AAAI Sergio Rozada, Dongsheng Ding, Antonio G. Marques, Alejandro Ribeiro
2025	—	`conf`	Directed Acyclic Hypergraphs: Topology Identification from Nodal Data. IEEECONF Geert Leus, Yongsheng Han, Elvin Isufi, Antonio G. Marques
2025	J	`jnl`	Early Detection of Multidrug Resistance Using Multivariate Time Series Analysis and Interpretable Patient-Similarity Representations. CoRR Óscar Escudero-Arnanz, Antonio G. Marques, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruíz
2025	J	`jnl`	Early detection of Multidrug Resistance using Multivariate Time Series analysis and interpretable patient-similarity representations. Comput. Methods Programs Biomed. Óscar Escudero-Arnanz, Antonio G. Marques, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruíz
2025	J	`jnl`	Enhancing Graphical Lasso: A Robust Scheme for Non-Stationary Mean Data. CoRR Samuel Rey, Ernesto Curbelo, Luca Martino, Fernando Llorente, Antonio G. Marques
2025	J	`jnl`	Estimating Fair Graphs from Graph-Stationary Data. CoRR Madeline Navarro, Andrei Buciulea, Samuel Rey, Antonio G. Marques, Santiago Segarra
2025	J	`jnl`	Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient Data. IEEE Trans. Signal Inf. Process. over Networks Óscar Escudero-Arnanz, Cristina Soguero-Ruíz, Antonio G. Marques
2025	J	`jnl`	Exploiting the Structure of Two Graphs With Graph Neural Networks. IEEE Trans. Signal Inf. Process. over Networks Victor M. Tenorio, Antonio G. Marques
2025	J	`jnl`	Graph Guided Diffusion: Unified Guidance for Conditional Graph Generation. CoRR Victor M. Tenorio, Nicolas Zilberstein, Santiago Segarra, Antonio G. Marques
2025	J	`jnl`	Graph signal aware decomposition of dynamic networks via latent graphs. CoRR Bishwadeep Das, Andrei Buciulea, Antonio G. Marques, Elvin Isufi
2025	J	`jnl`	Graph-Aware Diffusion for Signal Generation. CoRR Sergio Rozada, Vimal K. B., Andrea Cavallo, Antonio G. Marques, Hadi Jamali Rad, Elvin Isufi
2025	Misc	`conf`	Low-Rank Tensors for Multi-Dimensional Markov Models. ICASSP Madeline Navarro, Sergio Rozada, Antonio G. Marques, Santiago Segarra
2025	J	`jnl`	Multilinear Tensor Low-Rank Approximation for Policy-Gradient Methods in Reinforcement Learning. CoRR Sergio Rozada, Hoi-To Wai, Antonio G. Marques
2025	J	`jnl`	Multilinear Tensor Low-Rank Approximation for Policy-Gradient Methods in Reinforcement Learning. IEEE Trans. Signal Process. Sergio Rozada, Hoi-To Wai, Antonio G. Marques
2025	J	`jnl`	Multimodal interpretable data-driven models for early prediction of multidrug resistance using multivariate time series. Health Inf. Sci. Syst. Óscar Escudero-Arnanz, Sergio Martínez-Agüero, Paula Martín-Palomeque, Antonio G. Marques, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruíz
2025	Misc	`conf`	Online Network Inference from Graph-Stationary Signals with Hidden Nodes. ICASSP Andrei Buciulea, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques
2025	J	`jnl`	Polynomial Graphical Lasso: Learning Edges From Gaussian Graph-Stationary Signals. IEEE Trans. Signal Process. Andrei Buciulea, Jiaxi Ying, Antonio G. Marques, Daniel P. Palomar
2025	J	`jnl`	Pontryagin's Minimum Principle-Guided RL for Minimum-Time Exploration of Spatiotemporal Fields. IEEE Trans. Neural Networks Learn. Syst. Zhuo Li, Jian Sun, Antonio G. Marques, Gang Wang, Keyou You
2025	J	`jnl`	Precision Neural Networks: Joint Graph And Relational Learning. CoRR Andrea Cavallo, Samuel Rey, Antonio G. Marques, Elvin Isufi
2025	Misc	`conf`	Redesigning graph filter-based GNNs to relax the homophily assumption. ICASSP Samuel Rey, Madeline Navarro, Victor M. Tenorio, Santiago Segarra, Antonio G. Marques
2025	J	`jnl`	Solving Finite-Horizon MDPs via Low-Rank Tensors. CoRR Sergio Rozada, Jose Luis Orejuela, Antonio G. Marques
2025	Misc	`conf`	Tracking Network Dynamics using Probabilistic State-Space Models. ICASSP Victor M. Tenorio, Elvin Isufi, Geert Leus, Antonio G. Marques
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
2024	—	`conf`	A Convex Design for Transportation Networks Based on Sparsity and the Legendre Transform. IEEECONF Fernando Real-Rojas, Victor M. Tenorio, Luis Cadarso, Antonio G. Marques
2024	J	`jnl`	A Multi-resolution Low-rank Tensor Decomposition. CoRR Sergio Rozada, Antonio G. Marques
2024	A*	`conf`	A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints. NeurIPS Liuyuan Jiang, Quan Xiao, Victor Tenorio, Fernando Real-Rojas, Antonio G. Marques, Tianyi Chen
2024	—	`conf`	A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning. IEEECONF Sergio Rozada, Santiago Paternain, Juan Andrés Bazerque, Antonio G. Marques
2024	Misc	`conf`	Blind Deconvolution of Sparse Graph Signals in the Presence of Perturbations. ICASSP Victor M. Tenorio, Samuel Rey, Antonio G. Marques
2024	J	`jnl`	Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs. CoRR Sergio Rozada, Dongsheng Ding, Antonio G. Marques, Alejandro Ribeiro
2024	A	`conf`	Estimation of partially known Gaussian graphical models with score-based structural priors. AISTATS Martin Sevilla, Antonio G. Marques, Santiago Segarra
2024	J	`jnl`	Explainable Artificial Intelligence Techniques for Irregular Temporal Classification of Multidrug Resistance Acquisition in Intensive Care Unit Patients. CoRR Óscar Escudero-Arnanz, Cristina Soguero-Ruíz, Joaquín Álvarez-Rodríguez, Antonio G. Marques
2024	J	`jnl`	Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient Data. CoRR Óscar Escudero-Arnanz, Cristina Soguero-Ruíz, Antonio G. Marques
2024	J	`jnl`	Exploiting the Structure of Two Graphs with Graph Neural Networks. CoRR Victor M. Tenorio, Antonio G. Marques
2024	A*	`conf`	Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior. NeurIPS Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra
2024	J	`jnl`	Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior. CoRR Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra
2024	J	`jnl`	Joint Network Topology Inference in the Presence of Hidden Nodes. IEEE Trans. Signal Process. Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra
2024	Misc	`conf`	Learning Graphs and Simplicial Complexes from Data. ICASSP Andrei Buciulea, Elvin Isufi, Geert Leus, Antonio G. Marques
2024	—	`conf`	Learning the Topology of a Simplicial Complex Using Simplicial Signals: A Greedy Approach. SAM Andrei Buciulea, Elvin Isufi, Geert Leus, Antonio G. Marques
2024	B	`conf`	Low-Rank Tensor Completion for Heart Failure Exacerbation Detection in Multivariate Time Series with Missing Data. CBMS Óscar Escudero-Arnanz, Rosa Sicilia, Cristina Soguero-Ruíz, Inmaculada Mora-Jiménez, Diana Lelli, Claudio Pedone, Antonio G. Marques
2024	J	`jnl`	Low-Rank Tensors for Multi-Dimensional Markov Models. CoRR Madeline Navarro, Sergio Rozada, Antonio G. Marques, Santiago Segarra
2024	J	`jnl`	Matrix Low-Rank Approximation For Policy Gradient Methods. CoRR Sergio Rozada, Antonio G. Marques
2024	J	`jnl`	Matrix Low-Rank Trust Region Policy Optimization. CoRR Sergio Rozada, Antonio G. Marques
2024	—	`conf`	Mitigating Subpopulation Bias for Fair Network Topology Inference. EUSIPCO Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra
2024	J	`jnl`	Multimodal Interpretable Data-Driven Models for Early Prediction of Antimicrobial Multidrug Resistance Using Multivariate Time-Series. CoRR Sergio Martínez-Agüero, Antonio G. Marques, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruíz
2024	J	`jnl`	Online Network Inference from Graph-Stationary Signals with Hidden Nodes. CoRR Andrei Buciulea, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques
2024	J	`jnl`	Polynomial Graphical Lasso: Learning Edges from Gaussian Graph-Stationary Signals. CoRR Andrei Buciulea, Jiaxi Ying, Antonio G. Marques, Daniel P. Palomar
2024	Misc	`conf`	Recovering Missing Node Features with Local Structure-Based Embeddings. ICASSP Victor M. Tenorio, Madeline Navarro, Santiago Segarra, Antonio G. Marques
2024	J	`jnl`	Redesigning graph filter-based GNNs to relax the homophily assumption. CoRR Samuel Rey, Madeline Navarro, Victor M. Tenorio, Santiago Segarra, Antonio G. Marques
2024	—	`conf`	Structure-Guided Input Graph for GNNs Facing Heterophily. IEEECONF Victor M. Tenorio, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques
2024	J	`jnl`	Structure-Guided Input Graph for GNNs facing Heterophily. CoRR Victor M. Tenorio, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques
2024	Misc	`conf`	Tensor Low-Rank Approximation of Finite-Horizon Value Functions. ICASSP Sergio Rozada, Antonio G. Marques
2024	J	`jnl`	Tensor Low-rank Approximation of Finite-horizon Value Functions. CoRR Sergio Rozada, Antonio G. Marques
2024	J	`jnl`	Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning. IEEE Trans. Signal Process. Sergio Rozada, Santiago Paternain, Antonio G. Marques
2023	J	`jnl`	Enhanced Graph-Learning Schemes Driven by Similar Distributions of Motifs. IEEE Trans. Signal Process. Samuel Rey, T. Mitchell Roddenberry, Santiago Segarra, Antonio G. Marques
2023	Misc	`conf`	Graph Learning from Gaussian and Stationary Graph Signals. ICASSP Andrei Buciulea, Antonio G. Marques
2023	J	`jnl`	Learning graphs and simplicial complexes from data. CoRR Andrei Buciulea, Elvin Isufi, Geert Leus, Antonio G. Marques
2023	Misc	`conf`	Matrix Low-Rank Approximation for Policy Gradient Methods. ICASSP Sergio Rozada, Antonio G. Marques
2023	—	`conf`	Matrix Low-Rank Trust Region Policy Optimization. CAMSAP Sergio Rozada, Antonio G. Marques
2023	J	`jnl`	Recovering Missing Node Features with Local Structure-based Embeddings. CoRR Victor M. Tenorio, Madeline Navarro, Santiago Segarra, Antonio G. Marques
2023	Misc	`conf`	Robust Graph Neural Network Based on Graph Denoising. ACSSC Victor M. Tenorio, Samuel Rey, Antonio G. Marques
2023	J	`jnl`	Robust Graph Neural Network based on Graph Denoising. CoRR Victor M. Tenorio, Samuel Rey, Antonio G. Marques
2023	J	`jnl`	dtwParallel: A Python package to efficiently compute dynamic time warping between time series. SoftwareX Óscar Escudero-Arnanz, Antonio G. Marques, Cristina Soguero-Ruíz, Inmaculada Mora-Jiménez, Gregorio Robles
2022	Misc	`conf`	A Multi-Resolution Low-Rank Tensor Decomposition. ICASSP Sergio Rozada, Antonio G. Marques
2022	J	`jnl`	Interpretable clinical time-series modeling with intelligent feature selection for early prediction of antimicrobial multidrug resistance. Future Gener. Comput. Syst. Sergio Martínez-Agüero, Cristina Soguero-Ruíz, Jose Maria Alonso-Moral, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Antonio G. Marques
2022	J	`jnl`	Joint Inference of Multiple Graphs from Matrix Polynomials. J. Mach. Learn. Res. Madeline Navarro, Yuhao Wang, Antonio G. Marques, Caroline Uhler, Santiago Segarra
2022	Misc	`conf`	Joint Inference of Multiple Graphs with Hidden Variables from Stationary Graph Signals. ICASSP Samuel Rey, Andrei Buciulea, Madeline Navarro, Santiago Segarra, Antonio G. Marques
2022	—	`conf`	Joint graph learning from Gaussian observations in the presence of hidden nodes. IEEECONF Samuel Rey, Madeline Navarro, Andrei Buciulea, Santiago Segarra, Antonio G. Marques
2022	J	`jnl`	Joint graph learning from Gaussian observations in the presence of hidden nodes. CoRR Samuel Rey, Madeline Navarro, Andrei Buciulea, Santiago Segarra, Antonio G. Marques
2022	J	`jnl`	Learning Graphs From Smooth and Graph-Stationary Signals With Hidden Variables. IEEE Trans. Signal Inf. Process. over Networks Andrei Buciulea, Samuel Rey, Antonio G. Marques
2022	J	`jnl`	Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning. CoRR Sergio Rozada, Antonio G. Marques
2022	J	`jnl`	Untrained Graph Neural Networks for Denoising. IEEE Trans. Signal Process. Samuel Rey, Santiago Segarra, Reinhard Heckel, Antonio G. Marques
2021	—	`conf`	A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters. ACSCC Victor M. Tenorio, Samuel Rey, Fernando Gama, Santiago Segarra, Antonio G. Marques
2021	J	`jnl`	A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters. CoRR Victor M. Tenorio, Samuel Rey, Fernando Gama, Santiago Segarra, Antonio G. Marques
2021	J	`jnl`	Data and Network Analytics for COVID-19 ICU Patients: A Case Study for a Spanish Hospital. IEEE J. Biomed. Health Informatics Sergio Martínez-Agüero, Antonio G. Marques, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruíz
2021	J	`jnl`	Graph-signal Reconstruction and Blind Deconvolution for Structured Inputs. Signal Process. David Ramírez, Antonio G. Marques, Santiago Segarra
2021	J	`jnl`	Joint inference of multiple graphs with hidden variables from stationary graph signals. CoRR Samuel Rey, Andrei Buciulea, Madeline Navarro, Santiago Segarra, Antonio G. Marques
2021	—	`conf`	Low-rank State-action Value-function Approximation. EUSIPCO Sergio Rozada, Victor Tenorio, Antonio G. Marques
2021	J	`jnl`	Low-rank State-action Value-function Approximation. CoRR Sergio Rozada, Victor Tenorio, Antonio G. Marques
2021	Misc	`conf`	Robust Graph-Filter Identification with Graph Denoising Regularization. ICASSP Samuel Rey, Antonio G. Marques
2021	J	`jnl`	Untrained Graph Neural Networks for Denoising. CoRR Samuel Rey, Santiago Segarra, Reinhard Heckel, Antonio G. Marques
2020	J	`jnl`	Estimating Network Processes via Blind Identification of Multiple Graph Filters. IEEE Trans. Signal Process. Yu Zhu, Fernando Jose Iglesias Garcia, Antonio G. Marques, Santiago Segarra
2020	Misc	`conf`	Generative Adversarial Networks for Graph Data Imputation from Signed Observations. ICASSP Amarlingam Madapu, Santiago Segarra, Sundeep Prabhakar Chepuri, Antonio G. Marques
2020	J	`jnl`	Graph Signal Processing: Foundations and Emerging Directions [From the Guest Editors]. IEEE Signal Process. Mag. Antonio G. Marques, Negar Kiyavash, José M. F. Moura, Dimitri Van De Ville, Rebecca Willett
2020	J	`jnl`	Joint Inference of Multiple Graphs from Matrix Polynomials. CoRR Madeline Navarro, Yuhao Wang, Antonio G. Marques, Caroline Uhler, Santiago Segarra
2020	—	`conf`	Overparametrized Deep Encoder-Decoder Schemes for Inputs and Outputs Defined over Graphs. EUSIPCO Samuel Rey, Victor Tenorio, Sergio Rozada, Luca Martino, Antonio G. Marques
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	J	`jnl`	Tensor Graph Convolutional Networks for Multi-Relational and Robust Learning. IEEE Trans. Signal Process. Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis
2020	J	`jnl`	Tensor Graph Convolutional Networks for Multi-relational and Robust Learning. CoRR Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis
2019	Misc	`conf`	A Recurrent Graph Neural Network for Multi-relational Data. ICASSP Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis
2019	Misc	`conf`	Aggregation Graph Neural Networks. ICASSP Fernando Gama, Antonio G. Marques, Alejandro Ribeiro, Geert Leus
2019	—	`conf`	An Underparametrized Deep Decoder Architecture for Graph Signals. CAMSAP Samuel Rey, Antonio G. Marques, Santiago Segarra
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`	Convolutional Graph Neural Networks. ACSSC Fernando Gama, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2019	J	`jnl`	Convolutional Neural Network Architectures for Signals Supported on Graphs. IEEE Trans. Signal Process. Fernando Gama, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2019	Misc	`conf`	Deep Encoder-Decoder Neural Network Architectures for Graph Output Signals. ACSSC Samuel Rey, Victor Tenorio, Sergio Rozada, Luca Martino, Antonio G. Marques
2019	Misc	`conf`	Distributed Network Caching via Dynamic Programming. ICASSP Alireza Sadeghi, Antonio G. Marques, Georgios B. Giannakis
2019	J	`jnl`	Distributed Network Caching via Dynamic Programming. CoRR Alireza Sadeghi, Antonio G. Marques, Georgios B. Giannakis
2019	Misc	`conf`	Estimation of Network Processes via Blind Graph Multi-filter Identification. ICASSP Yu Zhu, Fernando Jose Iglesias Garcia, Antonio G. Marques, Santiago Segarra
2019	—	`conf`	Graph Neural Networks for Predicting Protein Functions. CAMSAP Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis
2019	J	`jnl`	Invariance-Preserving Localized Activation Functions for Graph Neural Networks. CoRR Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro
2019	Misc	`conf`	Median Activation Functions for Graph Neural Networks. ICASSP Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro
2019	Misc	`conf`	Network Reconstruction from Graph-stationary Signals with Hidden Variables. ACSSC Andrei Buciulea, Samuel Rey, Cristóbal Cabrera, Antonio G. Marques
2019	J	`jnl`	Reinforcement Learning for Adaptive Caching With Dynamic Storage Pricing. IEEE J. Sel. Areas Commun. Alireza Sadeghi, Fatemeh Sheikholeslami, Antonio G. Marques, Georgios B. Giannakis
2019	J	`jnl`	Sampling and Reconstruction of Diffused Sparse Graph Signals From Successive Local Aggregations. IEEE Signal Process. Lett. Samuel Rey-Escudero, Fernando Jose Iglesias Garcia, Cristóbal Cabrera, Antonio G. Marques
2018	J	`jnl`	A Recurrent Graph Neural Network for Multi-Relational Data. CoRR Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis
2018	—	`conf`	CNN Architectures for Graph Data. GlobalSIP Fernando Gama, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2018	J	`jnl`	Convolutional Neural Networks Architectures for Signals Supported on Graphs. CoRR Fernando Gama, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2018	—	`conf`	Convolutional Neural Networks via Node-Varying Graph Filters. DSW Fernando Gama, Geert Leus, Antonio G. Marques, Alejandro Ribeiro
2018	Misc	`conf`	Demixing and Blind Deconvolution of Graph-Diffused Sparse Signals. ICASSP Fernando Jose Iglesias Garcia, Santiago Segarra, Samuel Rey-Escudero, Antonio G. Marques, David Ramírez
2018	—	`conf`	Directed Network Topology Inference via Graph Filter Identification. DSW Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos
2018	Misc	`conf`	Distributed Analytical Graph Identification. ICASSP Sundeep Prabhakar Chepuri, Mario Coutino, Antonio G. Marques, Geert Leus
2018	—	`conf`	Graph Similarity based on Graph Fourier Distances. EUSIPCO Eva Lagunas, Antonio G. Marques, Symeon Chatzinotas, Björn E. Ottersten
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	—	`conf`	MIMO Graph Filters for Convolutional Neural Networks. SPAWC Fernando Gama, Antonio G. Marques, Alejandro Ribeiro, Geert Leus
2018	J	`jnl`	MIMO Graph Filters for Convolutional Neural Networks. CoRR Fernando Gama, Antonio G. Marques, Alejandro Ribeiro, Geert Leus
2018	Misc	`conf`	Matrix Completion as Graph Bandlimited Reconstruction. ICASSP Weiyu Huang, Antonio G. Marques, Alejandro Ribeiro
2018	J	`jnl`	Median activation functions for graph neural networks. CoRR Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro
2018	—	`conf`	Network Topology Inference From Input-Output Diffusion Pairs. SSP Santiago Segarra, Antonio G. Marques, Mohak Goyal, Samuel Rey-Escudero
2018	J	`jnl`	Rating Prediction via Graph Signal Processing. IEEE Trans. Signal Process. Weiyu Huang, Antonio G. Marques, Alejandro Ribeiro
2018	J	`jnl`	Reinforcement Learning for Adaptive Caching with Dynamic Storage Pricing. CoRR Alireza Sadeghi, Fatemeh Sheikholeslami, Antonio G. Marques, Georgios B. Giannakis
2018	J	`jnl`	Two-Timescale Stochastic Dispatch of Smart Distribution Grids. IEEE Trans. Smart Grid Luis M. Lopez-Ramos, Vassilis Kekatos, Antonio G. Marques, Georgios B. Giannakis
2017	J	`jnl`	Blind Identification of Graph Filters. IEEE Trans. Signal Process. Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, Alejandro Ribeiro
2017	—	`conf`	Collaborative filtering via graph signal processing. EUSIPCO Weiyu Huang, Antonio G. Marques, Alejandro Ribeiro
2017	—	`conf`	Design of weighted median graph filters. CAMSAP Santiago Segarra, Antonio G. Marques, Gonzalo R. Arce, Alejandro Ribeiro
2017	Misc	`conf`	Graph-signal reconstruction and blind deconvolution for diffused sparse inputs. ICASSP David Ramírez, Antonio G. Marques, Santiago Segarra
2017	Misc	`conf`	Joint inference of networks from stationary graph signals. ACSSC Santiago Segarra, Yuhao Wang, Caroline Uhler, Antonio G. Marques
2017	—	`conf`	L1 Penalized Cox Regression to Characterize Cardiovascular Events in Hypertensive Patients. CinC Rafael García-Carretero, Óscar Barquero-Pérez, Inmaculada Mora-Jiménez, Cristina Soguero-Ruíz, Rebeca Goya-Esteban, Antonio G. Marques, Javier Ramos
2017	—	`conf`	Modeling Cardiovascular Condition Evolution in Hypertensive Population Using Graph Signal Processing. CinC Antonio G. Marques, Cristina Soguero-Ruíz, Javier Ramos, Inmaculada Mora-Jiménez, Rebeca Goya-Esteban, Rafael García-Carretero, Óscar Barquero-Pérez
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	J	`jnl`	Optimal Graph-Filter Design and Applications to Distributed Linear Network Operators. IEEE Trans. Signal Process. Santiago Segarra, Antonio G. Marques, Alejandro Ribeiro
2017	Misc	`conf`	Robust network topology inference. ICASSP Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
2017	J	`jnl`	Stationary Graph Processes and Spectral Estimation. IEEE Trans. Signal Process. Antonio G. Marques, Santiago Segarra, Geert Leus, Alejandro Ribeiro
2017	Misc	`conf`	Stationary graph processes: Parametric power spectral estimation. ICASSP Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2017	J	`jnl`	The Dual Graph Shift Operator: Identifying the Support of the Frequency Domain. CoRR Geert Leus, Santiago Segarra, Alejandro Ribeiro, Antonio G. Marques
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	—	`conf`	Center-weighted median graph filters. GlobalSIP Santiago Segarra, Antonio G. Marques, Gonzalo R. Arce, Alejandro Ribeiro
2016	Misc	`conf`	Linear network operators using node-variant graph filters. ICASSP Santiago Segarra, Antonio G. Marques, 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`	Reconstruction of Graph Signals Through Percolation from Seeding Nodes. IEEE Trans. Signal Process. Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
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
2016	J	`jnl`	Sampling of Graph Signals With Successive Local Aggregations. IEEE Trans. Signal Process. Antonio G. Marques, Santiago Segarra, Geert Leus, Alejandro Ribeiro
2016	Misc	`conf`	Space-shift sampling of graph signals. ICASSP Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2016	J	`jnl`	Stationary Graph Processes and Spectral Estimation. CoRR Antonio G. Marques, Santiago Segarra, Geert Leus, Alejandro Ribeiro
2016	—	`conf`	Stationary graph processes: Nonparametric spectral estimation. SAM Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2015	—	`conf`	Aggregation sampling of graph signals in the presence of noise. CAMSAP Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2015	—	`conf`	Blind identification of graph filters with sparse inputs. CAMSAP Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, Alejandro Ribeiro
2015	J	`jnl`	Distributed Linear Network Operators using Graph Filters. CoRR Santiago Segarra, Antonio G. Marques, Alejandro Ribeiro
2015	—	`conf`	Distributed implementation of linear network operators using graph filters. Allerton Santiago Segarra, Antonio G. Marques, Alejandro Ribeiro
2015	—	`conf`	Interpolation of graph signals using shift-invariant graph filters. EUSIPCO Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2015	J	`jnl`	Reconstruction of Graph Signals through Percolation from Seeding Nodes. CoRR Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2015	—	`conf`	Reconstruction of graph signals: Percolation from a single seeding node. GlobalSIP Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2015	J	`jnl`	Sampling of graph signals with successive local aggregations. CoRR Antonio G. Marques, Santiago Segarra, Geert Leus, Alejandro Ribeiro
2015	Misc	`conf`	Sampling of graph signals: Successive local aggregations at a single node. ACSSC Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2014	B	`conf`	Dynamic transmit-power control for WiFi access points based on wireless link occupancy. WCNC Carlos Gandarillas, Carlos Martin-Engenos, Hector Lopez Pombo, Antonio G. Marques
2006	—	`conf`	A Bayesian Decision Model for Intelligent Routing in Sensor Networks. ISWCS Rocio Arroyo-Valles, Antonio G. Marques, Juan José Vinagre-Díaz, Jesús Cid-Sueiro