201 citations · 751 across the 31 of their papers we have counts for
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Bayesian Neural Architecture Search using A Training-Free Performance Metric
Andrés Camero, Hao Wang, Enrique Alba +1
Recurrent neural networks (RNNs) are a powerful approach for time series prediction. However, their performance is strongly affected by their architecture and hyperparameter settin…
DLOPT: Deep Learning Optimization Library
Andrés Camero, Jamal Toutouh, Enrique Alba
Deep learning hyper-parameter optimization is a tough task. Finding an appropriate network configuration is a key to success, however most of the times this labor is roughly done.…
Low-Cost Recurrent Neural Network Expected Performance Evaluation
Andrés Camero, Jamal Toutouh, Enrique Alba
Recurrent neural networks are a powerful tool, but they are very sensitive to their hyper-parameter configuration. Moreover, training properly a recurrent neural network is a tough…