SGA: Uncertainty Quantification for Multi-Step Forecasting in Time Series Foundation Models

T1Covered by 1 source · first reported by arXiv at 25 Sept, 04:00 UTC

arXiv:2609.28582v1 Announce Type: cross Abstract: The recent emergence of Time Series Foundation Models (TSFMs) has significantly advanced multi-step forecasting performance, enabling accurate predictions over extended future horizons. However, existing TSFMs often suffer from significantly…

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Sources

• T1SGA: Uncertainty Quantification for Multi-Step Forecasting in Time Series Foundation ModelsarXiv25 Sept, 04:00