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ORBIT enables unprecedented control over training distributions, leading to superior zero-shot forecasting performance in time series models.
Explicitly modeling the asymmetry between information growth and action expiration can drastically improve decision-making efficiency in complex environments.
Timeflies reveals that accurately forecasting time series requires not just predicting values, but also understanding whether observations will occur at all.
