DPTVAE: Data-driven prior-based tabular variational autoencoder for credit data synthesizing

Published: 01 Jan 2024, Last Modified: 13 Nov 2024Expert Syst. Appl. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Data-driven prior-based tabular variational autoencoder (DPTVAE) for end-to-end synthesizing credit data.•Value importance-based automatic discrete continuous feature classification.•Adaptively encoding different complexity based on Binning Gaussian probability density-Variational Gaussian Mixture (BGPD-VGM).•Conditional decoding for DPTVAE to synthesize imbalanced discrete columns.
Loading