Antonio G. Marques

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 126

Top Venues

CoRR

ICASSP

IEEE Trans. Signal Process.

ACSSC

Publications

Sergio Rozada, Antonio G. Marques
Tensor Low-Rank Approximation of Finite-Horizon Value Functions. ICASSP (2024)
Martin Sevilla, Antonio G. Marques, Santiago Segarra
Estimation of partially known Gaussian graphical models with score-based structural priors. AISTATS (2024)
Victor M. Tenorio, Madeline Navarro, Santiago Segarra, Antonio G. Marques
Recovering Missing Node Features with Local Structure-Based Embeddings. ICASSP (2024)
Óscar Escudero-Arnanz, Rosa Sicilia, Cristina Soguero-Ruíz, Inmaculada Mora-Jiménez, Diana Lelli, Claudio Pedone, Antonio G. Marques
Low-Rank Tensor Completion for Heart Failure Exacerbation Detection in Multivariate Time Series with Missing Data. CBMS (2024)
Óscar Escudero-Arnanz, Cristina Soguero-Ruíz, Joaquín Álvarez-Rodríguez, Antonio G. Marques
Explainable Artificial Intelligence Techniques for Irregular Temporal Classification of Multidrug Resistance Acquisition in Intensive Care Unit Patients. CoRR (2024)
Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra
Joint Network Topology Inference in the Presence of Hidden Nodes. IEEE Trans. Signal Process. 72 (2024)
Andrei Buciulea, Jiaxi Ying, Antonio G. Marques, Daniel P. Palomar
Polynomial Graphical Lasso: Learning Edges from Gaussian Graph-Stationary Signals. CoRR (2024)
Sergio Rozada, Antonio G. Marques
Matrix Low-Rank Trust Region Policy Optimization. CoRR (2024)
Victor M. Tenorio, Samuel Rey, Antonio G. Marques
Blind Deconvolution of Sparse Graph Signals in the Presence of Perturbations. ICASSP (2024)
Sergio Rozada, Antonio G. Marques
Tensor Low-rank Approximation of Finite-horizon Value Functions. CoRR (2024)
Sergio Martínez-Agüero, Antonio G. Marques, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruíz
Multimodal Interpretable Data-Driven Models for Early Prediction of Antimicrobial Multidrug Resistance Using Multivariate Time-Series. CoRR (2024)
Sergio Rozada, Santiago Paternain, Antonio G. Marques
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning. IEEE Trans. Signal Process. 72 (2024)
Sergio Rozada, Antonio G. Marques
Matrix Low-Rank Approximation For Policy Gradient Methods. CoRR (2024)
Sergio Rozada, Antonio G. Marques
A Multi-resolution Low-rank Tensor Decomposition. CoRR (2024)
Andrei Buciulea, Elvin Isufi, Geert Leus, Antonio G. Marques
Learning Graphs and Simplicial Complexes from Data. ICASSP (2024)
Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra
Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior. CoRR (2024)
Victor M. Tenorio, Samuel Rey, Antonio G. Marques
Robust Graph Neural Network Based on Graph Denoising. ACSSC (2023)
Andrei Buciulea, Elvin Isufi, Geert Leus, Antonio G. Marques
Learning graphs and simplicial complexes from data. CoRR (2023)
Andrei Buciulea, Antonio G. Marques
Graph Learning from Gaussian and Stationary Graph Signals. ICASSP (2023)
Victor M. Tenorio, Madeline Navarro, Santiago Segarra, Antonio G. Marques
Recovering Missing Node Features with Local Structure-based Embeddings. CoRR (2023)
Samuel Rey, T. Mitchell Roddenberry, Santiago Segarra, Antonio G. Marques
Enhanced Graph-Learning Schemes Driven by Similar Distributions of Motifs. IEEE Trans. Signal Process. 71 (2023)
Óscar Escudero-Arnanz, Antonio G. Marques, Cristina Soguero-Ruíz, Inmaculada Mora-Jiménez, Gregorio Robles
dtwParallel: A Python package to efficiently compute dynamic time warping between time series. SoftwareX 22 (2023)
Victor M. Tenorio, Samuel Rey, Antonio G. Marques
Robust Graph Neural Network based on Graph Denoising. CoRR (2023)
Sergio Rozada, Antonio G. Marques
Matrix Low-Rank Approximation for Policy Gradient Methods. ICASSP (2023)
Sergio Rozada, Antonio G. Marques
Matrix Low-Rank Trust Region Policy Optimization. CAMSAP (2023)
Samuel Rey, Madeline Navarro, Andrei Buciulea, Santiago Segarra, Antonio G. Marques
Joint graph learning from Gaussian observations in the presence of hidden nodes. CoRR (2022)
Sergio Martínez-Agüero, Cristina Soguero-Ruíz, Jose Maria Alonso-Moral, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Antonio G. Marques
Interpretable clinical time-series modeling with intelligent feature selection for early prediction of antimicrobial multidrug resistance. Future Gener. Comput. Syst. 133 (2022)
Samuel Rey, Madeline Navarro, Andrei Buciulea, Santiago Segarra, Antonio G. Marques
Joint graph learning from Gaussian observations in the presence of hidden nodes. IEEECONF (2022)
Andrei Buciulea, Samuel Rey, Antonio G. Marques
Learning Graphs From Smooth and Graph-Stationary Signals With Hidden Variables. IEEE Trans. Signal Inf. Process. over Networks 8 (2022)
Samuel Rey, Santiago Segarra, Reinhard Heckel, Antonio G. Marques
Untrained Graph Neural Networks for Denoising. IEEE Trans. Signal Process. 70 (2022)
Madeline Navarro, Yuhao Wang, Antonio G. Marques, Caroline Uhler, Santiago Segarra
Joint Inference of Multiple Graphs from Matrix Polynomials. J. Mach. Learn. Res. 23 (2022)
Samuel Rey, Andrei Buciulea, Madeline Navarro, Santiago Segarra, Antonio G. Marques
Joint Inference of Multiple Graphs with Hidden Variables from Stationary Graph Signals. ICASSP (2022)
Sergio Rozada, Antonio G. Marques
A Multi-Resolution Low-Rank Tensor Decomposition. ICASSP (2022)
Sergio Rozada, Antonio G. Marques
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning. CoRR (2022)
Samuel Rey, Antonio G. Marques
Robust Graph-Filter Identification with Graph Denoising Regularization. ICASSP (2021)
Sergio Rozada, Victor Tenorio, Antonio G. Marques
Low-rank State-action Value-function Approximation. CoRR (2021)
Sergio Martínez-Agüero, Antonio G. Marques, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruíz
Data and Network Analytics for COVID-19 ICU Patients: A Case Study for a Spanish Hospital. IEEE J. Biomed. Health Informatics 25 (12) (2021)
Victor M. Tenorio, Samuel Rey, Fernando Gama, Santiago Segarra, Antonio G. Marques
A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters. CoRR (2021)
Sergio Rozada, Victor Tenorio, Antonio G. Marques
Low-rank State-action Value-function Approximation. EUSIPCO (2021)
Samuel Rey, Andrei Buciulea, Madeline Navarro, Santiago Segarra, Antonio G. Marques
Joint inference of multiple graphs with hidden variables from stationary graph signals. CoRR (2021)
Samuel Rey, Santiago Segarra, Reinhard Heckel, Antonio G. Marques
Untrained Graph Neural Networks for Denoising. CoRR (2021)
David Ramírez, Antonio G. Marques, Santiago Segarra
Graph-signal Reconstruction and Blind Deconvolution for Structured Inputs. Signal Process. 188 (2021)
Victor M. Tenorio, Samuel Rey, Fernando Gama, Santiago Segarra, Antonio G. Marques
A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters. ACSCC (2021)
Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis
Tensor Graph Convolutional Networks for Multi-relational and Robust Learning. CoRR (2020)
Samuel Rey, Victor Tenorio, Sergio Rozada, Luca Martino, Antonio G. Marques
Overparametrized Deep Encoder-Decoder Schemes for Inputs and Outputs Defined over Graphs. 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)
Madeline Navarro, Yuhao Wang, Antonio G. Marques, Caroline Uhler, Santiago Segarra
Joint Inference of Multiple Graphs from Matrix Polynomials. CoRR (2020)
Antonio G. Marques, Negar Kiyavash, José M. F. Moura, Dimitri Van De Ville, Rebecca Willett
Graph Signal Processing: Foundations and Emerging Directions [From the Guest Editors]. IEEE Signal Process. Mag. 37 (6) (2020)
Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis
Tensor Graph Convolutional Networks for Multi-Relational and Robust Learning. IEEE Trans. Signal Process. 68 (2020)
Amarlingam Madapu, Santiago Segarra, Sundeep Prabhakar Chepuri, Antonio G. Marques
Generative Adversarial Networks for Graph Data Imputation from Signed Observations. ICASSP (2020)
Yu Zhu, Fernando Jose Iglesias Garcia, Antonio G. Marques, Santiago Segarra
Estimating Network Processes via Blind Identification of Multiple Graph Filters. IEEE Trans. Signal Process. 68 (2020)
Fernando Gama, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
Rethinking sketching as sampling: A graph signal processing approach. Signal Process. 169 (2020)
Alireza Sadeghi, Antonio G. Marques, Georgios B. Giannakis
Distributed Network Caching via Dynamic Programming. ICASSP (2019)
Samuel Rey, Victor Tenorio, Sergio Rozada, Luca Martino, Antonio G. Marques
Deep Encoder-Decoder Neural Network Architectures for Graph Output Signals. ACSSC (2019)
Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro
Median Activation Functions for Graph Neural Networks. ICASSP (2019)
Alireza Sadeghi, Fatemeh Sheikholeslami, Antonio G. Marques, Georgios B. Giannakis
Reinforcement Learning for Adaptive Caching With Dynamic Storage Pricing. IEEE J. Sel. Areas Commun. 37 (10) (2019)
Fernando Gama, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
Convolutional Neural Network Architectures for Signals Supported on Graphs. IEEE Trans. Signal Process. 67 (4) (2019)
Yu Zhu, Fernando Jose Iglesias Garcia, Antonio G. Marques, Santiago Segarra
Estimation of Network Processes via Blind Graph Multi-filter Identification. ICASSP (2019)
Fernando Gama, Antonio G. Marques, Alejandro Ribeiro, Geert Leus
Aggregation Graph Neural Networks. ICASSP (2019)
Samuel Rey-Escudero, Fernando Jose Iglesias Garcia, Cristóbal Cabrera, Antonio G. Marques
Sampling and Reconstruction of Diffused Sparse Graph Signals From Successive Local Aggregations. IEEE Signal Process. Lett. 26 (8) (2019)
Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro
Invariance-Preserving Localized Activation Functions for Graph Neural Networks. CoRR (2019)
Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis
A Recurrent Graph Neural Network for Multi-relational Data. ICASSP (2019)
Andrei Buciulea, Samuel Rey, Cristóbal Cabrera, Antonio G. Marques
Network Reconstruction from Graph-stationary Signals with Hidden Variables. ACSSC (2019)
Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis
Graph Neural Networks for Predicting Protein Functions. CAMSAP (2019)
Samuel Rey, Antonio G. Marques, Santiago Segarra
An Underparametrized Deep Decoder Architecture for Graph Signals. CAMSAP (2019)
Alireza Sadeghi, Antonio G. Marques, Georgios B. Giannakis
Distributed Network Caching via Dynamic Programming. CoRR (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)
Fernando Gama, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
Convolutional Graph Neural Networks. ACSSC (2019)
Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis
A Recurrent Graph Neural Network for Multi-Relational Data. CoRR (2018)
Luis M. Lopez-Ramos, Vassilis Kekatos, Antonio G. Marques, Georgios B. Giannakis
Two-Timescale Stochastic Dispatch of Smart Distribution Grids. IEEE Trans. Smart Grid 9 (5) (2018)
Eva Lagunas, Antonio G. Marques, Symeon Chatzinotas, Björn E. Ottersten
Graph Similarity based on Graph Fourier Distances. EUSIPCO (2018)
Weiyu Huang, Antonio G. Marques, Alejandro Ribeiro
Rating Prediction via Graph Signal Processing. IEEE Trans. Signal Process. 66 (19) (2018)
Fernando Jose Iglesias Garcia, Santiago Segarra, Samuel Rey-Escudero, Antonio G. Marques, David Ramírez
Demixing and Blind Deconvolution of Graph-Diffused Sparse Signals. ICASSP (2018)
Fernando Gama, Antonio G. Marques, Alejandro Ribeiro, Geert Leus
MIMO Graph Filters for Convolutional Neural Networks. CoRR (2018)
Alireza Sadeghi, Fatemeh Sheikholeslami, Antonio G. Marques, Georgios B. Giannakis
Reinforcement Learning for Adaptive Caching with Dynamic Storage Pricing. CoRR (2018)
Sundeep Prabhakar Chepuri, Mario Coutino, Antonio G. Marques, Geert Leus
Distributed Analytical Graph Identification. ICASSP (2018)
Fernando Gama, Antonio G. Marques, Alejandro Ribeiro, Geert Leus
MIMO Graph Filters for Convolutional Neural Networks. SPAWC (2018)
Fernando Gama, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
CNN Architectures for Graph Data. GlobalSIP (2018)
Fernando Gama, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
Convolutional Neural Networks Architectures for Signals Supported on Graphs. CoRR (2018)
Weiyu Huang, Antonio G. Marques, Alejandro Ribeiro
Matrix Completion as Graph Bandlimited Reconstruction. ICASSP (2018)
Fernando Gama, Geert Leus, Antonio G. Marques, Alejandro Ribeiro
Convolutional Neural Networks via Node-Varying Graph Filters. DSW (2018)
Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos
Identifying the Topology of Undirected Networks from Diffused Non-stationary Graph Signals. CoRR (2018)
Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos
Directed Network Topology Inference via Graph Filter Identification. DSW (2018)
Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro
Median activation functions for graph neural networks. CoRR (2018)
Santiago Segarra, Antonio G. Marques, Mohak Goyal, Samuel Rey-Escudero
Network Topology Inference From Input-Output Diffusion Pairs. SSP (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 R. Arce, Alejandro Ribeiro
Design of weighted median graph filters. CAMSAP (2017)
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)
David Ramírez, Antonio G. Marques, Santiago Segarra
Graph-signal reconstruction and blind deconvolution for diffused sparse inputs. ICASSP (2017)
Antonio G. Marques, Santiago Segarra, Geert Leus, Alejandro Ribeiro
Stationary Graph Processes and Spectral Estimation. IEEE Trans. Signal Process. 65 (22) (2017)
Antonio G. Marques, Cristina Soguero-Ruíz, Javier Ramos, Inmaculada Mora-Jiménez, Rebeca Goya-Esteban, Rafael García-Carretero, Óscar Barquero-Pérez
Modeling Cardiovascular Condition Evolution in Hypertensive Population Using Graph Signal Processing. CinC (2017)
Weiyu Huang, Antonio G. Marques, Alejandro Ribeiro
Collaborative filtering via graph signal processing. EUSIPCO (2017)
Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
Robust network topology inference. ICASSP (2017)
Santiago Segarra, Yuhao Wang, Caroline Uhler, Antonio G. Marques
Joint inference of networks from stationary graph signals. ACSSC (2017)
Santiago Segarra, Antonio G. Marques, Alejandro Ribeiro
Optimal Graph-Filter Design and Applications to Distributed Linear Network Operators. IEEE Trans. Signal Process. 65 (15) (2017)
Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
Stationary graph processes: Parametric power spectral estimation. ICASSP (2017)
Geert Leus, Santiago Segarra, Alejandro Ribeiro, Antonio G. Marques
The Dual Graph Shift Operator: Identifying the Support of the Frequency Domain. 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)
Rafael García-Carretero, Óscar Barquero-Pérez, Inmaculada Mora-Jiménez, Cristina Soguero-Ruíz, Rebeca Goya-Esteban, Antonio G. Marques, Javier Ramos
L1 Penalized Cox Regression to Characterize Cardiovascular Events in Hypertensive Patients. CinC (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Antonio G. Marques