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Preprint Sep 2026

Deep Koopman Sensing

Deep Koopman Sensing is proposed, a data-driven reduced-order DA framework that combines a nonlinear autoencoder with parameter-conditioned linear latent dynamics approximating the Koopman operator, and shows that latent dynamics should be designed for the downstream estimation task rather than selected solely for fore...

Nithin Somasekharan, Yadi Cao, Shao-Wu Pan · 0 citations

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