Max Beutelspacher

Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies

A main theoretical interest in biology and physics is to identify the nonlinear dynamical system (DS) that generated observed time series. Recurrent Neural Networks (RNN) are, in principle, powerful enough to approximate any underlying DS, but in their vanilla form suffer from the exploding vs. vani…