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Samuel Rey
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Untrained graph neural networks for denoising
S Rey, S Segarra, R Heckel, AG Marques
IEEE Transactions on Signal Processing 70, 5708-5723, 2022
192022
Learning graphs from smooth and graph-stationary signals with hidden variables
A Buciulea, S Rey, AG Marques
IEEE Transactions on Signal and Information Processing over Networks 8, 273-287, 2022
172022
Demixing and blind deconvolution of graph-diffused sparse signals
FJ Iglesias, S Segarra, S Rey-Escudero, AG Marques, D Ramírez
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
162018
Network reconstruction from graph-stationary signals with hidden variables
A Buciulea, S Rey, C Cabrera, AG Marques
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 56-60, 2019
112019
Robust graph-filter identification with graph denoising regularization
S Rey, AG Marques
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
82021
An underparametrized deep decoder architecture for graph signals
S Rey, AG Marques, S Segarra
2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019
82019
Sampling and reconstruction of diffused sparse graph signals from successive local aggregations
S Rey-Escudero, FJI Garcia, C Cabrera, AG Marques
IEEE Signal Processing Letters 26 (8), 1142-1146, 2019
82019
Network topology inference from input-output diffusion pairs
S Segarra, AG Marques, M Goyal, S Rey-Escudero
2018 IEEE Statistical Signal Processing Workshop (SSP), 508-512, 2018
82018
Enhanced graph-learning schemes driven by similar distributions of motifs
S Rey, TM Roddenberry, S Segarra, AG Marques
IEEE Transactions on Signal Processing, 2023
72023
Joint inference of multiple graphs with hidden variables from stationary graph signals
S Rey, A Buciulea, M Navarro, S Segarra, AG Marques
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
72022
Robust graph filter identification and graph denoising from signal observations
S Rey, VM Tenorio, AG Marques
IEEE Transactions on Signal Processing, 2023
62023
A robust alternative for graph convolutional neural networks via graph neighborhood filters
VM Tenorio, S Rey, F Gama, S Segarra, AG Marques
2021 55th Asilomar Conference on Signals, Systems, and Computers, 1573-1578, 2021
62021
Deep encoder-decoder neural network architectures for graph output signals
S Rey, V Tenorio, S Rozada, L Martino, AG Marques
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 225-229, 2019
52019
Overparametrized deep encoder-decoder schemes for inputs and outputs defined over graphs
S Rey, V Tenorio, S Rozada, L Martino, AG Marques
2020 28th European Signal Processing Conference (EUSIPCO), 855-859, 2021
42021
Joint graph learning from Gaussian observations in the presence of hidden nodes
S Rey, M Navarro, A Buciulea, S Segarra, AG Marques
2022 56th Asilomar Conference on Signals, Systems, and Computers, 53-57, 2022
22022
Joint Network Topology Inference in the Presence of Hidden Nodes
M Navarro, S Rey, A Buciulea, AG Marques, S Segarra
arXiv preprint arXiv:2306.17364, 2023
12023
Blind Deconvolution of Sparse Graph Signals in the Presence of Perturbations
VM Tenorio, S Rey, AG Marques
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
2024
Mitigating Subpopulation Bias for Fair Network Topology Inference
M Navarro, S Rey, A Buciulea, AG Marques, S Segarra
arXiv preprint arXiv:2403.15591, 2024
2024
Robust Graph Neural Network based on Graph Denoising
VM Tenorio, S Rey, AG Marques
arXiv preprint arXiv:2312.06557, 2023
2023
Robust Network Topology Inference and Processing of Graph Signals
S Rey
arXiv preprint arXiv:2302.13325, 2023
2023
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