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Found 2 papers, 1 papers with code
Stylized Projected GAN: A Novel Architecture for Fast and Realistic Image Generation
Generative Adversarial Networks are used for generating the data using a generator and a discriminator, GANs usually produce high-quality images, but training GANs in an adversarial setting is a difficult task.
Granger Causality using Neural Networks
It helps in answering the question whether one time series is helpful in forecasting.
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