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...
The Hidden Data Problem in Graduate Research Supervision
It's tempting to assume that generating multivariate synthetic time series is just the univariate problem, done several times in parallel. It isn't — and treating it that way is exactly why so many multivariate synthetic data efforts quietly underperform. A...
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