| 2024 | AAAI | Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise. | Augusto Santos, Diogo Rente, Rui Seabra, Jos M. F. Moura |
| 2024 | ICASSP | Inferring the Graph of Networked Dynamical Systems under Partial Observability and Spatially Colored Noise. | Augusto Santos, Diogo Rente, Rui Seabra, Jos M. F. Moura |
| 2023 | AAAI | Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach. | Sergio Machado, Anirudh Sridhar, Paulo Gil, Jorge Henriques, Jos M. F. Moura, Augusto Santos |
| 2020 | ICASSP | Learning Graph Influence from Social Interactions. | Vincenzo Matta, Virginia Bordignon, Augusto Santos, Ali H. Sayed |
| 2019 | ICASSP | Exponential Collapse of Social Beliefs over Weakly-connected Heterogeneous Networks. | Vincenzo Matta, Augusto Santos, Ali H. Sayed |
| 2019 | ISIT | Graph Learning with Partial Observations: Role of Degree Concentration. | Vincenzo Matta, Augusto Santos, Ali H. Sayed |
| 2018 | ACSSC | Tomography of Large Adaptive Networks under the Dense Latent Regime : Invited Paper. | Vincenzo Matta, Augusto Santos, Ali H. Sayed |
| 2018 | ISIT | Consistent Tomography over Diffusion Networks under the Low-Observability Regime. | Augusto Santos, Vincenzo Matta, Ali H. Sayed |
| 2015 | ACSSC | Sufficient condition for survival of the fittest in a bi-virus epidemics. | Augusto Santos, Jos M. F. Moura, Joo M. F. Xavier |