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ResearchAug 10, 2026

Forking-Sequences — Part II: Multi-Horizon Forecast Ensembling with Reduced Volatility

Forking-sequences enable zero-shot multi-horizon forecast ensembling for time series foundation models, reducing volatility by about 10% with minimal accuracy…

Carnegie Mellon ML Blog Read original report

#Time Series#Forecasting#Ensemble#Machine Learning#Inference

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Forking-Sequences — Part II: Multi-Horizon Forecast Ensembling with Reduced Volatility

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Forking-Sequences — Part II: Multi-Horizon Forecast Ensembling with Reduced Volatility | Hooshware