159 citations · 383 across the 10 of their papers we have counts for
10 papers
Exploring the limits of multifunctionality across different reservoir computers
Andrew Flynn, Oliver Heilmann, Daniel Köglmayr +3
Multifunctional neural networks are capable of performing more than one task without changing any network connections. In this paper we explore the performance of a continuous-time…
Breaking Symmetries of the Reservoir Equations in Echo State Networks
Joschka Herteux, Christoph Räth
Reservoir computing has repeatedly been shown to be extremely successful in the prediction of nonlinear time-series. However, there is no complete understanding of the proper desig…
Good and bad predictions: Assessing and improving the replication of chaotic attractors by means of reservoir computing
Alexander Haluszczynski, Christoph Räth
The prediction of complex nonlinear dynamical systems with the help of machine learning techniques has become increasingly popular. In particular, reservoir computing turned out to…
Phase Walk Analysis of Leptokurtic Time Series
Korbinian Schreiber, Heike I. Modest, Christoph Räth
The Fourier phase information play a key role for the quantified description of nonlinear data. We present a novel tool for time series analysis that identifies nonlinearities by s…
Scale-Free Crystallization of two-dimensional Complex Plasmas: Domain Analysis using Minkowski Tensors
A. Böbel, C. A. Knapek, C. Räth
Experiments of the recrystallization processes in two-dimensional complex plasmas are analyzed in order to rigorously test a recently developed scale-free phase transition theory.…
Time Series with Tailored Nonlinearities
C. Raeth, I. Laut
It is demonstrated how to generate time series with tailored nonlinearities by inducing well- defined constraints on the Fourier phases. Correlations between the phase information…