5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Deterministic Reservoir Computing for Chaotic Time Series Prediction
Johannes Viehweg, Constanze Poll, Patrick Mäder
Reservoir Computing was shown in recent years to be useful as efficient to learn networks in the field of time series tasks. Their randomized initialization, a computational benefi…
cs.LG2024★ 5 cited
Temporal Convolution Derived Multi-Layered Reservoir Computing
Johannes Viehweg, Dominik Walther, Patrick Mäder
The prediction of time series is a challenging task relevant in such diverse applications as analyzing financial data, forecasting flow dynamics or understanding biological process…