zGAN: Outlier-Focused Generative Adversarial Networks

Demystifying zGAN: The Outlier-Focused AI Revolution

In the rapidly evolving landscape of artificial intelligence, Generative Adversarial Networks (GANs) have long been celebrated for their ability to create realistic synthetic data, from imagery to complex tabular records. However, standard GANs face a critical blind spot: they are trained to replicate the average or most common patterns in a dataset while smoothing over extreme, unpredictable events.