Inside BifGAN: Bringing Bifurcation Theory to Synthetic Time-Series Data
Generative adversarial networks have a reliability problem that gets worse, not better, when you point them at time series. A generator and a discriminator locked in adversarial training are already a famously unstable pair — prone to oscillating losses, mode...
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