GT-GAN: GeneralPurposeTimeSeriesSynthesis withGenerativeAdversarialNetworks

However, there are no existing generative models that showgood performance for both types without anymodel changes. Therefore, we present a general purpose model capable of synthesizing regular and irregular time series data.