Synthetic tabular data generation using a VAE-GAN architecture

doi:10.1016/j.knosys.2025.113997

Synthetic tabular data generation using a VAE-GAN architecture

2025-07-10

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DOI：10.1016/j.knosys.2025.113997

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Abstract

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• A hierarchical generative architecture for synthetic tabular data generation. • The approach outperforms current leading approaches in terms of sample quality. • The proposed solution is more computationally efficient than existing approaches.

Keywords:

Synthetic data generation

Tabular data

Generative adversarial networks

Variational autoencoders

Synthetic tabular data generation using a VAE-GAN architecture

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