Moirai addresses key challenges of universal forecasting to support various domains, multiple frequencies, and any-variate in a zero-shot manner.
Evaluated in both in-distribution and out-of-distribution settings, Moirai shines as a zero-shot forecaster, delivering competitive or even superior performance compared to full-shot models.
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Gerald Woo is a Ph.D. candidate in the Industrial PhD Program at Singapore Management University and a researcher at Salesforce AI Research Asia and his research focuses on deep learning for time-series, including representation learning, and forecasting.
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