Inference of Unknown Dynamical Components Using Next Generation Reservoir Computing: From Chaotic Systems to Climate Data

arXiv:2609.24754 · cs.LG, nlin.CD · Submitted 2026-09-21 · Read on arXiv

cs.LG, nlin.CD

Submitted: 2026-09-21

Updated: 2026-09-21

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 7× in this paper · explained in 1 episode
• Regularization — 2× in this paper · explained in 3 episodes
• Sparsity — 2× in this paper · explained in 4 episodes
• Activation Function — 1× in this paper · explained in 1 episode
• Bayesian Optimization — 1× in this paper · explained in 3 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Data Assimilation — 1× in this paper · explained in 2 episodes
• International Joint Conference on Neural Networks — 1× in this paper
• Latent Space — 1× in this paper · explained in 7 episodes
• National Oceanic and Atmospheric Administration — 1× in this paper
• Physical Sciences Laboratory — 1× in this paper
• Time Series Forecasting — 1× in this paper · explained in 3 episodes

Sources

• Performance boost of time-delay reservoir computing by non-resonant clock cycle
• Bayesian optimization of hyper-parameters in reservoir computing
• Deep Neural Imputation: A Framework for Recovering Incomplete Brain Recordings

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