DLGAN, a dual-layer GAN with a supervised sequence autoencoder and feature-space GAN, generates synthetic time series with stronger temporal dependencies than six baselines on four benchmark datasets.
Locally differentially private high-dimensional data synthesis.Science China Information Sciences, 66(1):112101, 2023
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DLGAN : Time Series Synthesis Based on Dual-Layer Generative Adversarial Networks
DLGAN, a dual-layer GAN with a supervised sequence autoencoder and feature-space GAN, generates synthetic time series with stronger temporal dependencies than six baselines on four benchmark datasets.