18 citations · 47 across the 10 of their papers we have counts for
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cs.LG2022★ 3 cited
Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach
Sérgio Machado, Anirudh Sridhar, Paulo Gil +3
We study the problem of graph structure identification, i.e., of recovering the graph of dependencies among time series. We model these time series data as components of the state…
cs.CV2022★ 16 cited
PSO-Convolutional Neural Networks with Heterogeneous Learning Rate
Nguyen Huu Phong, Augusto Santos, Bernardete Ribeiro
Convolutional Neural Networks (ConvNets or CNNs) have been candidly deployed in the scope of computer vision and related fields. Nevertheless, the dynamics of training of these neu…