Search Results for author:
Found 2 papers, 0 papers with code
Learn one size to infer all: Exploiting translational symmetries in delay-dynamical and spatio-temporal systems using scalable neural networks
We train these networks to predict the dynamics of delay-dynamical and spatio-temporal systems for a single size.
Unveiling the role of plasticity rules in reservoir computing
Reservoir Computing (RC) is an appealing approach in Machine Learning that combines the high computational capabilities of Recurrent Neural Networks with a fast and easy training method.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
