2 papers
nlin.CD2025
Learning the climate of dynamical systems with state-space systems
James Murray Louw, Juan-Pablo Ortega
State-space systems encompass a broad class of algorithms used for modeling and forecasting time series. For such systems to be effective, two objectives must be met: (i) accurate…
math.DS2024
Forecasting causal dynamics with universal reservoirs
Lyudmila Grigoryeva, James Louw, Juan-Pablo Ortega
An iterated multistep forecasting scheme based on recurrent neural networks (RNN) is proposed for the time series generated by causal chains with infinite memory. This forecasting…