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Hariharan Srinivasan

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#machine learning Preprint Oct 2026

CGDT-CESN: Correlation-Guided and Dynamics-Trained Clustered Echo State Network for Multivariate Time-Series Prediction

The proposed Correlation-Guided and Dynamics-Trained Clustered Echo State Network (CGDT-CESN) is proposed, which comprises a modular reservoir architecture with each cluster distinctly specializing in one of the variables in the multivariate time series.

Hariharan Srinivasan, Masoom Bhargava, Sayan Gupta · 0 citations