Hyeryung Jang

MSTabVAE: Multi-Step Latent Conditional Variational Autoencoder for Imbalanced Tabular Data Synthesis

MSTabVAE, a novel generative framework that extends TabNet, a deep learning architecture for tabular data, into a conditional variational autoencoder (CVAE) framework, and introduces a multi-step latent mapping strategy to capture complex feature relationships in heterogeneous tabular data.