29 citations · 42 across the 12 of their papers we have counts for
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cs.NE2022
Re-visiting Reservoir Computing architectures optimized by Evolutionary Algorithms
Sebastián Basterrech, Tarun Kumar Sharma
For many years, Evolutionary Algorithms (EAs) have been applied to improve Neural Networks (NNs) architectures. They have been used for solving different problems, such as training…
cs.LG2022
Tracking changes using Kullback-Leibler divergence for the continual learning
Sebastián Basterrech, Michal Woźniak
Recently, continual learning has received a lot of attention. One of the significant problems is the occurrence of \emph{concept drift}, which consists of changing probabilistic ch…
cs.NE2022
Evolutionary Echo State Network: evolving reservoirs in the Fourier space
Sebastian Basterrech, Gerardo Rubino
The Echo State Network (ESN) is a class of Recurrent Neural Network with a large number of hidden-hidden weights (in the so-called reservoir). Canonical ESN and its variations have…