| 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 | 17 | 2022 |
| 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 | 11 | 2019 |
| 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 | 7 | 2022 |
| 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 | 2 | 2022 |
| 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 | 1 | 2023 |
| Graph Learning from Gaussian and Stationary Graph Signals A Buciulea, AG Marques ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| Learning graphs and simplicial complexes from data A Buciulea, E Isufi, G Leus, AG Marques ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Polynomial Graphical Lasso: Learning Edges from Gaussian Graph-Stationary Signals A Buciulea, J Ying, AG Marques, DP Palomar arXiv preprint arXiv:2404.02621, 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 |
