Suchergebnisse
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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...
Paper. Code. Unsupervised Optimal Power Flow Using Graph Neural Networks. no code implementations • 17 Oct 2022 • Damian Owerko , Fernando Gama , Alejandro Ribeiro. Optimal power flow (OPF) is a critical optimization problem that allocates power to the generators in order to satisfy the demand at a minimum cost. Paper. Add Code.
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 )
19. Juli 2021 · F. Gama, D. Casaglia, and B. Cernuschi-Frías, "Use of Karush-Kuhn-Tucker conditions for obtaining a Closed Form expression for the MiniMax Affine Estimator," in XV Workshop Inform. Process. Control Process.
11. Mai 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.
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 ...
