Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs

Cristóbal Esteban, Stephanie L. Hyland, Gunnar Rätsch

Generative Adversarial Networks (GANs) have shown remarkable success as a framework for training models to produce realistic-looking data. In this work, we propose a Recurrent GAN…