Forecasting Sequential Data using Consistent Koopman Autoencoders

Omri Azencot, N. Benjamin Erichson, Vanessa Lin +1

Recurrent neural networks are widely used on time series data, yet such models often ignore the underlying physical structures in such sequences. A new class of physics-based metho…