PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series

Jeha Paul, Bohlke-Schneider Michael, Mercado Pedro +5

Realistic synthetic time series data of sufficient length enables practical applications in time series modeling tasks, such as forecasting, but remains a challenge. In this paper…