Time series generation with spectrally aligned latent flow matching
A spectrally-aligned latent-flow time series generator, where the latent space for flow matching is trained to preserve dynamical properties that are relevant for the suitability of synthetic samples, and incorporating fine-tuning losses based on canonical signal representations helps overcome issues.
Camilo Carvajal Reyes, Felipe Tobar
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