| Untrained graph neural networks for denoising S Rey, S Segarra, R Heckel, AG Marques IEEE Transactions on Signal Processing 70, 5708-5723, 2022 | 27 | 2022 |
| 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 | 27 | 2022 |
| 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 | 18 | 2018 |
| Enhanced graph-learning schemes driven by similar distributions of motifs S Rey, TM Roddenberry, S Segarra, AG Marques IEEE Transactions on Signal Processing, 2023 | 15 | 2023 |
| Robust graph filter identification and graph denoising from signal observations S Rey, VM Tenorio, AG Marques IEEE Transactions on Signal Processing, 2023 | 14 | 2023 |
| 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 | 12 | 2019 |
| 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 | 11 | 2019 |
| Joint network topology inference in the presence of hidden nodes M Navarro, S Rey, A Buciulea, AG Marques, S Segarra IEEE Transactions on Signal Processing, 2024 | 9 | 2024 |
| 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 | 9 | 2022 |
| 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 | 9 | 2021 |
| 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 | 9 | 2019 |
| Robust graph-filter identification with graph denoising regularization S Rey, AG Marques ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 8 | 2021 |
| 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 | 8 | 2018 |
| 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 | 6 | 2022 |
| 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 | 6 | 2021 |
| 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 | 6 | 2019 |
| 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 | 5 | 2024 |
| Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior M Navarro, S Rey, A Buciulea, AG Marques, S Segarra arXiv preprint arXiv:2406.09513, 2024 | 3 | 2024 |
| Convolutional Learning on Directed Acyclic Graphs S Rey, H Ajorlou, G Mateos arXiv preprint arXiv:2405.03056, 2024 | 3 | 2024 |
| Redesigning graph filter-based GNNs to relax the homophily assumption S Rey, M Navarro, VM Tenorio, S Segarra, AG Marques arXiv preprint arXiv:2409.08676, 2024 | 2 | 2024 |
Antonio G. MarquesProfessor of ECE, King Juan Carlos University (Universidad Rey Juan Carlos), MadridBestätigte E-Mail-Adresse bei urjc.es