Variational Augmented Invertible Koopman Autoencoder for probabilistic time series forecasting

Anthony Frion, Lucas Drumetz, Guillaume Tochon +3

Neural Koopman autoencoder models have been shown to successfully build a latent embedding with linear dynamics for arbitrary dynamical systems, enabling strong performance in long…