Principled Koopman Representations with Kalman Inference for Efficient Time-Series Prediction
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arXiv:2609.17815v1 Announce Type: new Abstract: The Koopman operator has been widely used for time-series prediction in dynamical systems. However, prior work that learns latent ``Koopman spaces'' using neural networks often did not construct a valid Koopman space for forecasting, as these represen…
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- 2026-09-17 04:00 · arXiv cs.LG
Principled Koopman Representations with Kalman Inference for Efficient Time-Series Prediction