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cs.LG2025
Augmented Invertible Koopman Autoencoder for long-term time series forecasting
Anthony Frion, Lucas Drumetz, Mauro Dalla Mura +2
Following the introduction of Dynamic Mode Decomposition and its numerous extensions, many neural autoencoder-based implementations of the Koopman operator have recently been propo…
cs.LG2024
Koopman Ensembles for Probabilistic Time Series Forecasting
Anthony Frion, Lucas Drumetz, Guillaume Tochon +2
In the context of an increasing popularity of data-driven models to represent dynamical systems, many machine learning-based implementations of the Koopman operator have recently b…