268 citations · 892 across the 24 of their papers we have counts for
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stat.ML2017★ 268 cited
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…
stat.ML2016
Learning Unitary Operators with Help From u(n)
Stephanie L. Hyland, Gunnar Rätsch
A major challenge in the training of recurrent neural networks is the so-called vanishing or exploding gradient problem. The use of a norm-preserving transition operator can addres…