フォロー
Fernando Gama
Fernando Gama
Machine Learning Scientist, Pendulum Systems
確認したメール アドレス: pendulum.global - ホームページ
タイトル
引用先
引用先
年
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
2892018
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
2252020
Stability properties of graph neural networks
F Gama, J Bruna, A Ribeiro
IEEE Transactions on Signal Processing 68, 5680-5695, 2020
2052020
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
1722020
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
1552020
Gated graph recurrent neural networks
L Ruiz, F Gama, A Ribeiro
IEEE Transactions on Signal Processing 68, 6303-6318, 2020
1282020
Optimal power flow using graph neural networks
D Owerko, F Gama, A Ribeiro
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
1262020
Graph neural networks: Architectures, stability, and transferability
L Ruiz, F Gama, A Ribeiro
Proceedings of the IEEE 109 (5), 660-682, 2021
992021
Diffusion scattering transforms on graphs
F Gama, A Ribeiro, J Bruna
arXiv preprint arXiv:1806.08829, 2018
982018
Stability of graph scattering transforms
F Gama, A Ribeiro, J Bruna
Advances in Neural Information Processing Systems 32, 2019
772019
EdgeNets: Edge varying graph neural networks
E Isufi, F Gama, A Ribeiro
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 7457 …, 2021
742021
Predicting power outages using graph neural networks
D Owerko, F Gama, A Ribeiro
2018 ieee global conference on signal and information processing (globalsip …, 2018
682018
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
552019
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
37*2022
Gated graph convolutional recurrent neural networks
L Ruiz, F Gama, A Ribeiro
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
372019
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
352022
Graph neural networks for decentralized controllers
F Gama, E Tolstaya, A Ribeiro
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
292021
Graph filters for signal processing and machine learning on graphs
E Isufi, F Gama, DI Shuman, S Segarra
IEEE Transactions on Signal Processing, 2024
282024
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
252019
Convolutional neural networks via node-varying graph filters
F Gama, G Leus, AG Marques, A Ribeiro
2018 IEEE Data Science Workshop (DSW), 1-5, 2018
252018
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