Stochastic Recurrent Neural Networks for Modelling Astronomical Time Series: Advantages and Limitations

Xinyue Sheng, Matt Nicholl, Nicholas Ross

This paper reviews the Stochastic Recurrent Neural Network (SRNN) as applied to the light curves of Active Galactic Nuclei by Sheng et al. (2022). Astronomical data have inherent l…