Learning non-Markovian Dynamical Systems with Signature-based Encoders

Eliott Pradeleix, Rémy Hosseinkhan-Boucher, Alena Shilova +2

Neural ordinary differential equations offer an effective framework for modeling dynamical systems by learning a continuous-time vector field. However, they rely on the Markovian a…