29 citations · 97 across the 12 of their papers we have counts for
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cs.LG2020★ 29 cited
Efficient implementations of echo state network cross-validation
Mantas Lukoševičius, Arnas Uselis
Background/introduction: Cross-Validation (CV) is still uncommon in time series modeling. Echo State Networks (ESNs), as a prime example of Reservoir Computing (RC) models, are kno…
cs.LG2020★ 17 cited
Localized convolutional neural networks for geospatial wind forecasting
Arnas Uselis, Mantas Lukoševičius, Lukas Stasytis
Convolutional Neural Networks (CNN) possess many positive qualities when it comes to spatial raster data. Translation invariance enables CNNs to detect features regardless of their…
cs.LG2019★ 13 cited
Efficient Cross-Validation of Echo State Networks
Mantas Lukoševičius, Arnas Uselis
Echo State Networks (ESNs) are known for their fast and precise one-shot learning of time series. But they often need good hyper-parameter tuning for best performance. For this goo…