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Fernando Gama
Fernando Gama
Machine Learning Scientist, Pendulum Systems
Bestätigte E-Mail-Adresse bei pendulum.global - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Convolutional neural network architectures for signals supported on graphs
F Gama, AG Marques, G Leus, A Ribeiro
IEEE Transactions on Signal Processing 67 (4), 1034-1049, 2018
3532018
Graph neural networks for decentralized multi-robot path planning
Q Li, F Gama, A Ribeiro, A Prorok
2020 IEEE/RSJ international conference on intelligent robots and systems …, 2020
3112020
Stability properties of graph neural networks
F Gama, J Bruna, A Ribeiro
IEEE Transactions on Signal Processing 68, 5680-5695, 2020
2802020
Graphs, convolutions, and neural networks: From graph filters to graph neural networks
F Gama, E Isufi, G Leus, A Ribeiro
IEEE Signal Processing Magazine 37 (6), 128-138, 2020
2122020
Learning decentralized controllers for robot swarms with graph neural networks
E Tolstaya, F Gama, J Paulos, G Pappas, V Kumar, A Ribeiro
Conference on robot learning, 671-682, 2020
2032020
Gated graph recurrent neural networks
L Ruiz, F Gama, A Ribeiro
IEEE Transactions on Signal Processing 68, 6303-6318, 2020
2002020
Optimal power flow using graph neural networks
D Owerko, F Gama, A Ribeiro
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
1842020
Graph neural networks: Architectures, stability, and transferability
L Ruiz, F Gama, A Ribeiro
Proceedings of the IEEE 109 (5), 660-682, 2021
1432021
Diffusion scattering transforms on graphs
F Gama, A Ribeiro, J Bruna
arXiv preprint arXiv:1806.08829, 2018
1172018
Stability of graph scattering transforms
F Gama, A Ribeiro, J Bruna
Advances in Neural Information Processing Systems 32, 2019
942019
Graph filters for signal processing and machine learning on graphs
E Isufi, F Gama, DI Shuman, S Segarra
IEEE Transactions on Signal Processing 72, 4745-4781, 2024
892024
EdgeNets: Edge varying graph neural networks
E Isufi, F Gama, A Ribeiro
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 7457 …, 2021
872021
Predicting power outages using graph neural networks
D Owerko, F Gama, A Ribeiro
2018 ieee global conference on signal and information processing (globalsip …, 2018
832018
Invariance-preserving localized activation functions for graph neural networks
L Ruiz, F Gama, AG Marques, A Ribeiro
IEEE Transactions on Signal Processing 68, 127-141, 2019
612019
Synthesizing decentralized controllers with graph neural networks and imitation learning
F Gama, Q Li, E Tolstaya, A Prorok, A Ribeiro
IEEE Transactions on Signal Processing 70, 1932-1946, 2022
41*2022
Gated graph convolutional recurrent neural networks
L Ruiz, F Gama, A Ribeiro
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
392019
Wide and deep graph neural network with distributed online learning
Z Gao, F Gama, A Ribeiro
IEEE Transactions on Signal Processing 70, 3862-3877, 2022
382022
Graph neural networks for decentralized controllers
F Gama, E Tolstaya, A Ribeiro
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
352021
Controllability of bandlimited graph processes over random time varying graphs
F Gama, E Isufi, A Ribeiro, G Leus
IEEE Transactions on Signal Processing 67 (24), 6440-6454, 2019
262019
VGAI: End-to-end learning of vision-based decentralized controllers for robot swarms
TK Hu, F Gama, T Chen, Z Wang, A Ribeiro, BM Sadler
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
25*2021
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