Wavelet Flow Matching for Time Series
Synthetic time series are increasingly used for data augmentation, privacy-preserving data sharing, and downstream model development, yet faithfully reproducing both multi-scale temporal structure and cross-channel dependencies remains challenging. We study multivariate time-series generation through flow matching in t...
Lucas Poinsignon, Jorge da Silva Goncalves, Samuel Ruipérez-Campillo et al.
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