Author

Shinsuke Koyama

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Preprint Jun 2026

Data-driven inference of Hopf normal form representations from oscillatory time series

We introduce a data-driven framework that maps noisy oscillatory time series directly onto the Hopf normal form, enabling inference of underlying dynamics without knowledge of governing equations. By embedding the normal form in a probabilistic state-space model, the method jointly infers latent states and system param...

Shinsuke Koyama, Ryota Kobayashi · 1 citation