Outlier Generation
A group of methods designed to generate outliers in tabular data, emphasizing the importance of such techniques as supported by extreme value theory. These methods are crucial for modeling, analyzing, and understanding anomalous or rare events within structured datasets.
zGAN: An Outlier-focused Generative Adversarial Network For Realistic Synthetic Data Generation