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Scale-Invariant Conditional VAE for Coarse-Grained Economic Time-Series Forecasting

Results show that replacing or augmenting the original training set with SI-CVAE–generated data yields consistent accuracy gains across multiple forecasting baselines, and that SI-CVAE attains higher synthetic-data quality than state-of-the-art generators on standard metrics.

Jian-Ping Zhu, Lei Wang, Yang Chen et al. · 0 citations

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