CGDT-CESN2 min read
CGDT-CESN: Correlation-Guided and Dynamics-Trained Clustered Echo State Network for Multivariate Time-Series Prediction
Accurate prediction of multivariate time series requires models that simultaneously capture variable-specific dynamics and cross-variable interactions. In this work, a Correlation-Guided and Dynamics-Trained Clustered Echo State Network (CGDT-CESN) is proposed, which comprises a modular reservoir…
By Hariharan Srinivasan, Masoom Bhargava, Sayan GuptaarXiv cs.LG
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Originally published by arXiv cs.LG on Oct 19, 2026.
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