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Ant International School of Economics, School of Economics, Sichuan University, Ant International, Fudan University
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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.
Achieve state-of-the-art forecasting by mapping heterogeneous time series data into a unified latent space, enabling nuanced interaction modeling.
