Time Series Analysis, Gans, Data Generation.
adversarial learning in which the time series are assessed based on how realistic they are. Second, it uses the real data to learn the conditional probability of seeing the next datapoint given the past information. Practically however, TimeGAN requires multiple instances of the same underlying