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Continual Learning of Dynamical Systems in Recurrent Neural Networks through Recyclable Unit Gating

arXiv:2609.38356v1 Announce Type: new Abstract: Dynamical Systems Reconstruction (DSR) aims to infer models from observed time series that reproduce a system's qualitative long-term behavior. Continual DSR (cDSR) requires learning new systems while preserving previously learned dynamics, yet even s…

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  1. 2026-10-01 04:00 · arXiv cs.LG
    Continual Learning of Dynamical Systems in Recurrent Neural Networks through Recyclable Unit Gating

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