Learning strange attractors with reservoir systems

11 August 2021

Papers citing "Learning strange attractors with reservoir systems"

14 / 14 papers shown

Title
Learning mechanical systems from real-world data using discrete forced Lagrangian dynamics Martine Dyring Hansen Elena Celledoni Benjamin Kwanen Tampley PINN 44 0 0 26 May 2025
On the emergence of numerical instabilities in Next Generation Reservoir Computing Edmilson Roque dos Santos Erik Bollt 71 0 0 01 May 2025
State-space systems as dynamic generative models Juan-Pablo Ortega Florian Rossmannek 168 1 0 13 Mar 2025
Unsupervised Learning in Echo State Networks for Input Reconstruction Taiki Yamada Yuichi Katori Kantaro Fujiwara 53 0 0 20 Jan 2025
Thermodynamic limit in learning period three Yuichiro Terasaki Kohei Nakajima 146 1 0 12 May 2024
Forecasting the Forced van der Pol Equation with Frequent Phase Shifts Using Reservoir Computing Sho Kuno Hiroshi Kori 48 0 0 23 Apr 2024
Memory of recurrent networks: Do we compute it right? Giovanni Ballarin Lyudmila Grigoryeva Juan-Pablo Ortega 69 4 0 02 May 2023
Infinite-dimensional reservoir computing Lukas Gonon Lyudmila Grigoryeva Juan-Pablo Ortega 74 9 0 02 Apr 2023
Reservoir kernels and Volterra series Lukas Gonon Lyudmila Grigoryeva Juan-Pablo Ortega 77 8 0 30 Dec 2022
Catch-22s of reservoir computing Yuanzhao Zhang Sean P. Cornelius 89 13 0 18 Oct 2022
A Systematic Exploration of Reservoir Computing for Forecasting Complex Spatiotemporal Dynamics Jason A. Platt S. Penny T. A. Smith Tse-Chun Chen H. Abarbanel AI4TS 94 41 0 21 Jan 2022
Embedding Information onto a Dynamical System G. Manjunath 133 13 0 22 May 2021
Universal set of Observables for Forecasting Physical Systems through Causal Embedding G. Manjunath A. D. Clercq MJ Steynberg 50 1 0 22 May 2021
Dimension reduction in recurrent networks by canonicalization Lyudmila Grigoryeva Juan-Pablo Ortega 64 19 0 23 Jul 2020