Antonio G. Marqués

According to our database1, Antonio G. Marqués authored at least 123 papers between 2005 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2020
Estimating Network Processes via Blind Identification of Multiple Graph Filters.
IEEE Trans. Signal Process., 2020

Invariance-Preserving Localized Activation Functions for Graph Neural Networks.
IEEE Trans. Signal Process., 2020

Tensor Graph Convolutional Networks for Multi-Relational and Robust Learning.
IEEE Trans. Signal Process., 2020

Signal Processing on Directed Graphs: The Role of Edge Directionality When Processing and Learning From Network Data.
IEEE Signal Process. Mag., 2020

Graph Signal Processing: Foundations and Emerging Directions [From the Guest Editors].
IEEE Signal Process. Mag., 2020

Rethinking sketching as sampling: A graph signal processing approach.
Signal Process., 2020

Joint Inference of Multiple Graphs from Matrix Polynomials.
CoRR, 2020

Generative Adversarial Networks for Graph Data Imputation from Signed Observations.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Overparametrized Deep Encoder-Decoder Schemes for Inputs and Outputs Defined over Graphs.
Proceedings of the 28th European Signal Processing Conference, 2020

Aplying LSTM Networks to Predict Multi-drug Resistance Using Binary Multivariate Clinical Sequences.
Proceedings of the 9th European Starting AI Researchers' Symposium 2020 co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

2019
Convolutional Neural Network Architectures for Signals Supported on Graphs.
IEEE Trans. Signal Process., 2019

Connecting the Dots: Identifying Network Structure via Graph Signal Processing.
IEEE Signal Process. Mag., 2019

Sampling and Reconstruction of Diffused Sparse Graph Signals From Successive Local Aggregations.
IEEE Signal Process. Lett., 2019

Reinforcement Learning for Adaptive Caching With Dynamic Storage Pricing.
IEEE J. Sel. Areas Commun., 2019

Estimation of Network Processes via Blind Graph Multi-filter Identification.
Proceedings of the IEEE International Conference on Acoustics, 2019

Distributed Network Caching via Dynamic Programming.
Proceedings of the IEEE International Conference on Acoustics, 2019

Median Activation Functions for Graph Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Recurrent Graph Neural Network for Multi-relational Data.
Proceedings of the IEEE International Conference on Acoustics, 2019

Aggregation Graph Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

An Underparametrized Deep Decoder Architecture for Graph Signals.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Graph Neural Networks for Predicting Protein Functions.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Deep Encoder-Decoder Neural Network Architectures for Graph Output Signals.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Convolutional Graph Neural Networks.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Network Reconstruction from Graph-stationary Signals with Hidden Variables.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Rating Prediction via Graph Signal Processing.
IEEE Trans. Signal Process., 2018

Two-Timescale Stochastic Dispatch of Smart Distribution Grids.
IEEE Trans. Smart Grid, 2018

Riemann-Langevin Particle Filtering in Track-Before-Detect.
IEEE Signal Process. Lett., 2018

Convolutional Neural Networks Architectures for Signals Supported on Graphs.
CoRR, 2018

Identifying the Topology of Undirected Networks from Diffused Non-stationary Graph Signals.
CoRR, 2018

Network Topology Inference From Input-Output Diffusion Pairs.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

MIMO Graph Filters for Convolutional Neural Networks.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Identifying Undirected Network Structure via Semidefinite Relaxation.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Reinforcement Learning for 5G Caching with Dynamic Cost.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Demixing and Blind Deconvolution of Graph-Diffused Sparse Signals.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Matrix Completion as Graph Bandlimited Reconstruction.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Distributed Analytical Graph Identification.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

CNN Architectures for Graph Data.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Graph Similarity based on Graph Fourier Distances.
Proceedings of the 26th European Signal Processing Conference, 2018

Directed Network Topology Inference via Graph Filter Identification.
Proceedings of the 2018 IEEE Data Science Workshop, 2018

Convolutional Neural Networks via Node-Varying Graph Filters.
Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017
Optimal Graph-Filter Design and Applications to Distributed Linear Network Operators.
IEEE Trans. Signal Process., 2017

Blind Identification of Graph Filters.
IEEE Trans. Signal Process., 2017

Stationary Graph Processes and Spectral Estimation.
IEEE Trans. Signal Process., 2017

Network Topology Inference from Spectral Templates.
IEEE Trans. Signal Inf. Process. over Networks, 2017

DGLB: Distributed Stochastic Geographical Load Balancing over Cloud Networks.
IEEE Trans. Parallel Distributed Syst., 2017

The Dual Graph Shift Operator: Identifying the Support of the Frequency Domain.
CoRR, 2017

Network topology inference from non-stationary graph signals.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Robust network topology inference.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Stationary graph processes: Parametric power spectral estimation.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Graph-signal reconstruction and blind deconvolution for diffused sparse inputs.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Collaborative filtering via graph signal processing.
Proceedings of the 25th European Signal Processing Conference, 2017

Modeling Cardiovascular Condition Evolution in Hypertensive Population Using Graph Signal Processing.
Proceedings of the Computing in Cardiology, 2017

L1 Penalized Cox Regression to Characterize Cardiovascular Events in Hypertensive Patients.
Proceedings of the Computing in Cardiology, 2017

Design of weighted median graph filters.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Joint inference of networks from stationary graph signals.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Reconstruction of Graph Signals Through Percolation from Seeding Nodes.
IEEE Trans. Signal Process., 2016

Sampling of Graph Signals With Successive Local Aggregations.
IEEE Trans. Signal Process., 2016

Network topology identification from spectral templates.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Stationary graph processes: Nonparametric spectral estimation.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Linear network operators using node-variant graph filters.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Blind identification of graph filters with multiple sparse inputs.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Space-shift sampling of graph signals.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Center-weighted median graph filters.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Rethinking sketching as sampling: Efficient approximate solution to linear inverse problems.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

SIGIBE: Solving random bilinear equations via gradient descent with spectral initialization.
Proceedings of the 24th European Signal Processing Conference, 2016

Network topology identification from imperfect spectral templates.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

Rethinking sketching as sampling: Linear transforms of graph signals.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

Space-time scheduling for green data center networks.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
An MDP Model for Censoring in Harvesting Sensors: Optimal and Approximated Solutions.
IEEE J. Sel. Areas Commun., 2015

Distributed Linear Network Operators using Graph Filters.
CoRR, 2015

Underlay multi-hop cognitive networks with orthogonal access.
Proceedings of the 16th IEEE International Symposium on A World of Wireless, 2015

A decomposition method for optimal user assignment in cellular networks with orthogonal transmissions.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Reconstruction of graph signals: Percolation from a single seeding node.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Microgrid dispatch and price of reliability using stochastic approximation.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Interpolation of graph signals using shift-invariant graph filters.
Proceedings of the 23rd European Signal Processing Conference, 2015

Blind identification of graph filters with sparse inputs.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Aggregation sampling of graph signals in the presence of noise.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Distributed implementation of linear network operators using graph filters.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

Sampling of graph signals: Successive local aggregations at a single node.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Jointly Optimal Sensing and Resource Allocation for Multiuser Interweave Cognitive Radios.
IEEE Trans. Wirel. Commun., 2014

Cross-Layer Optimization and Receiver Localization for Cognitive Networks Using Interference Tweets.
IEEE J. Sel. Areas Commun., 2014

Dynamic transmit-power control for WiFi access points based on wireless link occupancy.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2014

Joint sensing and resource allocation for underlay cognitive radios.
Proceedings of the IEEE International Conference on Acoustics, 2014

A stochastic approximation approach to load shedding inpower networks.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Asymptotically Optimal Cross-Layer Schemes for Relay Networks with Short-Term and Long-Term Constraints.
IEEE Trans. Wirel. Commun., 2013

Relating the spectrum of cardiac signals to the spatiotemporal dynamics of cardiac sources.
Biomed. Signal Process. Control., 2013

Soft-decision sequential sensing for optimization of interweave Cognitive Radio networks.
Proceedings of the 14th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2013

Hierarchical spectrum sharing using interference tweets.
Proceedings of the 14th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2013

Battery-Aware Selective Transmitters in Energy-Harvesting Sensor Networks: Optimal Solution and Stochastic Dual Approximation.
Proceedings of the ISWCS 2013, 2013

Joint resource allocation and receiver map estimation in underlay cognitive radios.
Proceedings of the IEEE International Conference on Acoustics, 2013

Primary receiver localization using sparsity and interference tweets.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012
Optimal Cross-Layer Resource Allocation in Cellular Networks Using Channel- and Queue-State Information.
IEEE Trans. Veh. Technol., 2012

Resource Allocation for Interweave and Underlay CRs Under Probability-of-Interference Constraints.
IEEE J. Sel. Areas Commun., 2012

Underlay Cognitive Radios with Capacity Guarantees for Primary Users
CoRR, 2012

Jointly Optimal Sensing and Resource Allocation for Multiuser Overlay Cognitive Radios
CoRR, 2012

Cognitive radios with ergodic capacity guarantees for primary users.
Proceedings of the 7th International Conference on Cognitive Radio Oriented Wireless Networks, 2012

Underlay cognitive radios with finite transmission modes and capacity guarantees for primary users.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Optimal Selective Forwarding for Energy Saving in Wireless Sensor Networks.
IEEE Trans. Wirel. Commun., 2011

Optimizing Orthogonal Multiple Access Based on Quantized Channel State Information.
IEEE Trans. Signal Process., 2011

Stochastic resource allocation for cognitive radio networks based on imperfect state information.
Proceedings of the IEEE International Conference on Acoustics, 2011

Adaptive underlay cognitive radios with imperfect CSI and probabilistic interference constraints.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

2010
Optimizing Average Performance of OFDM Systems Using Limited-Rate Feedback.
IEEE Trans. Wirel. Commun., 2010

Power control for cooperative dynamic spectrum access networks with diverse QoS constraints.
IEEE Trans. Commun., 2010

Stochastic cross-layer resource allocation for wireless networks using orthogonal access: Optimality and delay analysis.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Dynamic resource management for cognitive radios using limited-rate feedback.
IEEE Trans. Signal Process., 2009

Optimal Selective Transmission under Energy Constraints in Sensor Networks.
IEEE Trans. Mob. Comput., 2009

Stochastic resource allocation for orthogonal access based on quantized CSI: Optimality, convergence and delay analysis.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Power-efficient wireless OFDMA using limited-rate feedback.
IEEE Trans. Wirel. Commun., 2008

Power-Efficient Resource Allocation and Quantization for TDMA Using Adaptive Transmission and Limited-Rate Feedback.
IEEE Trans. Signal Process., 2008

Minimizing Transmit Power for Coherent Communications in Wireless Sensor Networks With Finite-Rate Feedback.
IEEE Trans. Signal Process., 2008

Optimal stochastic dual resource allocation for cognitive radios based on quantized CSI.
Proceedings of the IEEE International Conference on Acoustics, 2008

Utility-based power control for peer-to-peer cognitive radio networks with heterogeneous QoS constraints.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
A Unified Approach to QoS-Guaranteed Scheduling for Channel-Adaptive Wireless Networks.
Proc. IEEE, 2007

Minimizing Power in Wireless OFDMA with Limited-Rate Feedback.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2007

Energy-aware Geographic Forwarding of Prioritized Messages in Wireless Sensor Networks.
Proceedings of the IEEE 4th International Conference on Mobile Adhoc and Sensor Systems, 2007

Reduced-Complexity Power-Efficient Wireless OFDMA using an Equally Probable CSI Quantizer.
Proceedings of IEEE International Conference on Communications, 2007

Minimizing Transmit-Power for Coherent Communications in Wireless Sensor Networks using Quantized Channel State Information.
Proceedings of the IEEE International Conference on Acoustics, 2007

Optimizing Energy Efficiency of TDMA with Finite Rate Feedback.
Proceedings of the IEEE International Conference on Acoustics, 2007

Channel-adaptive resource allocation for cognitive OFDMA RADIOS based on limited-rate feedback.
Proceedings of the 15th European Signal Processing Conference, 2007

2006
Optimizing Power Efficiency of OFDM Using Quantized Channel State Information.
IEEE J. Sel. Areas Commun., 2006

Power-Efficient OFDM via Quantized Channel State Information.
Proceedings of IEEE International Conference on Communications, 2006

Power-Efficient OFDM with Reduced Complexity and Feedback Overhead.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Error-Aware Scheduling and its Effect on Efficiency and Fairness.
Proceedings of the EUNICE 2005: Networks and Applications Towards a Ubiquitously Connected World, 2005


  Loading...