Samuel Rey-Escudero

According to our database, Samuel Rey-Escudero authored at least 25 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Joint Network Topology Inference in the Presence of Hidden Nodes.

Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra

IEEE Trans. Signal Process., 2024

Online Network Inference from Graph-Stationary Signals with Hidden Nodes.

Andrei Buciulea, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques

CoRR, 2024

Redesigning graph filter-based GNNs to relax the homophily assumption.

Samuel Rey, Madeline Navarro, Victor M. Tenorio, Santiago Segarra, Antonio G. Marques

CoRR, 2024

Online Learning Of Expanding Graphs.

Samuel Rey, Bishwadeep Das, Elvin Isufi

CoRR, 2024

Non-negative Weighted DAG Structure Learning.

Samuel Rey, Seyed Saman Saboksayr, Gonzalo Mateos

CoRR, 2024

Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior.

Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra

CoRR, 2024

Convolutional Learning on Directed Acyclic Graphs.

Samuel Rey, Hamed Ajorlou, Gonzalo Mateos

CoRR, 2024

Blind Deconvolution of Sparse Graph Signals in the Presence of Perturbations.

Victor M. Tenorio, Samuel Rey, Antonio G. Marques

Proceedings of the IEEE International Conference on Acoustics, 2024

Mitigating Subpopulation Bias for Fair Network Topology Inference.

Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Robust Graph Filter Identification and Graph Denoising From Signal Observations.

Samuel Rey, Victor M. Tenorio, Antonio G. Marqués

IEEE Trans. Signal Process., 2023

Enhanced Graph-Learning Schemes Driven by Similar Distributions of Motifs.

Samuel Rey, T. Mitchell Roddenberry, Santiago Segarra, Antonio G. Marques

IEEE Trans. Signal Process., 2023

Robust Graph Neural Network Based on Graph Denoising.

Victor M. Tenorio, Samuel Rey, Antonio G. Marques

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Untrained Graph Neural Networks for Denoising.

Samuel Rey, Santiago Segarra, Reinhard Heckel, Antonio G. Marques

IEEE Trans. Signal Process., 2022

Learning Graphs From Smooth and Graph-Stationary Signals With Hidden Variables.

Andrei Buciulea, Samuel Rey, Antonio G. Marques

IEEE Trans. Signal Inf. Process. over Networks, 2022

Joint Inference of Multiple Graphs with Hidden Variables from Stationary Graph Signals.

Samuel Rey, Andrei Buciulea, Madeline Navarro, Santiago Segarra, Antonio G. Marques

Proceedings of the IEEE International Conference on Acoustics, 2022

Joint graph learning from Gaussian observations in the presence of hidden nodes.

Samuel Rey, Madeline Navarro, Andrei Buciulea, Santiago Segarra, Antonio G. Marques

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Robust Graph-Filter Identification with Graph Denoising Regularization.

Samuel Rey, Antonio G. Marques

Proceedings of the IEEE International Conference on Acoustics, 2021

A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters.

Victor M. Tenorio, Samuel Rey, Fernando Gama, Santiago Segarra, Antonio G. Marques

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Overparametrized Deep Encoder-Decoder Schemes for Inputs and Outputs Defined over Graphs.

Samuel Rey, Victor Tenorio, Sergio Rozada, Luca Martino, Antonio G. Marques

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Sampling and Reconstruction of Diffused Sparse Graph Signals From Successive Local Aggregations.

Samuel Rey-Escudero, Fernando Jose Iglesias Garcia, Cristóbal Cabrera, Antonio G. Marques

IEEE Signal Process. Lett., 2019

An Underparametrized Deep Decoder Architecture for Graph Signals.

Samuel Rey, Antonio G. Marques, Santiago Segarra

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.

Samuel Rey, Victor Tenorio, Sergio Rozada, Luca Martino, Antonio G. Marques

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Network Reconstruction from Graph-stationary Signals with Hidden Variables.

Andrei Buciulea, Samuel Rey, Cristóbal Cabrera, Antonio G. Marques

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Network Topology Inference From Input-Output Diffusion Pairs.

Santiago Segarra, Antonio G. Marques, Mohak Goyal, Samuel Rey-Escudero

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Demixing and Blind Deconvolution of Graph-Diffused Sparse Signals.

Fernando Jose Iglesias Garcia, Santiago Segarra, Samuel Rey-Escudero, Antonio G. Marques, David Ramírez

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018