What AI says about ctdGAN

ctdGAN is a conditional Generative Adversarial Network for synthesizing artificial tabular data and alleviating class imbalance in tabular datasets. It partitions the input space to assign cluster labels, which are then used to synthesize samples through probabilistic sampling. The training objective accounts for both cluster and class mis-predictions, enabling generation of samples in subspaces that resemble the original data distribution.