| 2024 | ICASSP | Unsupervised Optimal Power Flow Using Graph Neural Networks. | Damian Owerko, Fernando Gama, Alejandro Ribeiro |
| 2022 | ICASSP | Stability Analysis of Unfolded WMMSE for Power Allocation. | Arindam Chowdhury, Fernando Gama, Santiago Segarra |
| 2022 | ICASSP | Unrolling Particles: Unsupervised Learning of Sampling Distributions. | Fernando Gama, Nicolas Zilberstein, Richard G. Baraniuk, Santiago Segarra |
| 2021 | ACSSC | A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters. | Victor M. Tenorio, Samuel Rey, Fernando Gama, Santiago Segarra, Antonio G. Marques |
| 2021 | ICASSP | Graph Neural Networks for Decentralized Controllers. | Fernando Gama, Ekaterina I. Tolstaya, Alejandro Ribeiro |
| 2021 | ICASSP | Wide and Deep Graph Neural Networks with Distributed Online Learning. | Zhan Gao, Alejandro Ribeiro, Fernando Gama |
| 2021 | ICASSP | VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms. | Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler |
| 2021 | ICASSP | Discriminability of Single-Layer Graph Neural Networks. | Samuel Pfrommer, Alejandro Ribeiro, Fernando Gama |
| 2021 | ICASSP | Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks. | Luana Ruiz, Fernando Gama, Alejandro Ribeiro, Elvin Isufi |
| 2020 | ICASSP | Stability of Graph Neural Networks to Relative Perturbations. | Fernando Gama, Alejandro Ribeiro, Joan Bruna |
| 2020 | ICASSP | Optimal Power Flow Using Graph Neural Networks. | Damian Owerko, Fernando Gama, Alejandro Ribeiro |
| 2020 | ICASSP | Spatial Gating Strategies for Graph Recurrent Neural Networks. | Luana Ruiz, Fernando Gama, Alejandro Ribeiro |
| 2020 | IROS | Graph Neural Networks for Decentralized Multi-Robot Path Planning. | Qingbiao Li, Fernando Gama, Alejandro Ribeiro, Amanda Prorok |
| 2019 | ACSSC | Design Strategies for Sparse Control Of Random Time-Varying NETWORKS. | Mario Coutino, Elvin Isufi, Fernando Gama, Alejandro Ribeiro, Geert Leus |
| 2019 | ACSSC | Convolutional Graph Neural Networks. | Fernando Gama, Antonio G. Marques, Geert Leus, Alejandro Ribeiro |
| 2019 | CoRL | Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks. | Ekaterina I. Tolstaya, Fernando Gama, James Paulos, George J. Pappas, Vijay Kumar, Alejandro Ribeiro |
| 2019 | ICASSP | Aggregation Graph Neural Networks. | Fernando Gama, Antonio G. Marques, Alejandro Ribeiro, Geert Leus |
| 2019 | ICASSP | Median Activation Functions for Graph Neural Networks. | Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro |
| 2019 | ICLR | Diffusion Scattering Transforms on Graphs. | Fernando Gama, Alejandro Ribeiro, Joan Bruna |
| 2018 | ICASSP | Control of Graph Signals Over Random Time-Varying Graphs. | Fernando Gama, Elvin Isufi, Geert Leus, Alejandro Ribeiro |
| 2017 | ICANN | Improving Our Understanding of the Behavior of Bees Through Anomaly Detection Techniques. | Fernando Gama, Helder M. Arruda, Hanna V. Carvalho, Paulo A. de Souza, Gustavo Pessin |
| 2017 | ICASSP | Weak law of large numbers for stationary graph processes. | Fernando Gama, Alejandro Ribeiro |
| 2016 | ACSSC | Rethinking sketching as sampling: Linear transforms of graph signals. | Fernando Gama, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro |
| 2016 | ICASSP | Overlapping clustering of network data using cut metrics. | Fernando Gama, Santiago Segarra, Alejandro Ribeiro |
| 2016 | SAC | VCloud: adding interactiveness to word clouds for knowledge exploration in large unstructured texts. | Wallace P. Lira, Fernando Gama, Hivana Melo Barbosa Dall'Agnol, Ronnie Alves, Cleidson R. B. de Souza |