336 citations · 1.7k across the 63 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.LG2023★ 10 cited
Improving the Performance of Echo State Networks Through State Feedback
Peter J. Ehlers, Hendra I. Nurdin, Daniel Soh
Reservoir computing, using nonlinear dynamical systems, offers a cost-effective alternative to neural networks for complex tasks involving processing of sequential data, time serie…
quant-ph2023★ 7 cited
Quantum reservoir computing with repeated measurements on superconducting devices
Toshiki Yasuda, Yudai Suzuki, Tomoyuki Kubota +8
Reservoir computing is a machine learning framework that uses artificial or physical dissipative dynamics to predict time-series data using nonlinearity and memory properties of dy…