Researchers From Imperial College London introduce TsT-GAN: A Novel Framework For Training Time-Series Generative Models

Nowadays, data is considered a fuel in the data analytics field. The real-time applications require time series data for analysis and future prediction. But all these applications usually lack the necessary, sufficient data for analysis. Hence, various data augmentation techniques need to be adopted. Researchers from Imperial College London introduce a framework called [TsT-GAN](https://arxiv.org/pdf/2205.11164v1.pdf), based on generative adversarial networks (GAN), that are utilized to augment the time-series data. It aims to fulfill the various objectives like capturing the steps of …

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