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temporal mean squared error

technology1 mentionslast seen Oct 7, 2026

Existing loss function approach for time-series forecasting models.

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Time-o1supersedestemporal mean squared error75% confidence1 source

temporal mean squared error

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Time-o1supersedestemporal mean squared error

75% confidence1 supporting mentions

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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.