Antoni Dimitriadis

Constrained Dynamical Neural ODE for Time Series Modelling: A Case Study on Continuous Emotion Prediction

weA number of machine learning applications involve time series prediction, and in some cases additional information about dynamical constraints on the target time series may be available. For instance, it might be known that the desired quantity cannot change faster than some rate or that the rate…