Suchergebnisse
Suchergebnisse:
Fernando Gama. About Me. I work on designing and understanding machine learning algorithms that can be applied to novel problems. I am currently a Machine Learning Scientist at Pendulum Systems....
no code implementations • 11 May 2019 • Fernando Gama, Joan Bruna, Alejandro Ribeiro Graph neural networks (GNNs) have emerged as a powerful tool for nonlinear processing of graph signals, exhibiting success in recommender systems, power outage prediction, and motion planning, among others.
Fernando Gama. 2020 IEEE/RSJ international conference on intelligent robots and systems …. ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …. IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 7457 …. 2018 ieee global conference on signal and information processing (globalsip …. ICASSP 2021 ...
25. Apr. 2024 · Fernando Gama, Qingbiao Li, Ekaterina I. Tolstaya, Amanda Prorok, Alejandro Ribeiro: Synthesizing Decentralized Controllers With Graph Neural Networks and Imitation Learning. IEEE Trans. Signal Process. 70 : 1932-1946 ( 2022 )
11. Mai 2019 · Stability Properties of Graph Neural Networks. Fernando Gama, Joan Bruna, Alejandro Ribeiro. Graph neural networks (GNNs) have emerged as a powerful tool for nonlinear processing of graph signals, exhibiting success in recommender systems, power outage prediction, and motion planning, among others.
- Fernando Gama, Joan Bruna, Alejandro Ribeiro
- 2020
19. Juli 2021 · Fernando Gama - Publications. Publications. Journals. Z. Gao, F. Gama, and A. Ribeiro, “ Wide and Deep Graph Neural Network with Distributed Online Learning ,” arXiv:2107.09203v1 [cs.LG], 19...
8. März 2020 · Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks. Fernando Gama, Elvin Isufi, Geert Leus, Alejandro Ribeiro. Network data can be conveniently modeled as a graph signal, where data values are assigned to nodes of a graph that describes the underlying network topology. Successful learning from ...
