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Time-o1

technology1 mentionslast seen Oct 7, 2026

A transform-enhanced loss function for time-series forecasting that addresses label autocorrelation and reduces task complexity.

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Time-o1supersedestemporal mean squared error

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preprintarXivOct 6, 2026Time-o1: Time-Series Forecasting Needs Transformed Label Alignment
To address these issues, we introduce Time-o1, a transform-enhanced loss function for time-series forecasting. The central idea is to transform the label sequence into decorrelated components with discriminated significance. Models are then trained to align the most significant components, thereby effectively mitigating label autocorrelation and reducing task amount.