Uncertainty quantification for multi-step forecasting in time series foundation models (TSFMs)
Read the original at arxiv.org→arXiv:2609.28582v1 Announce Type: new Abstract: The recent emergence of Time Series Foundation Models (TSFMs) has significantly advanced multi-step forecasting performance, enabling accurate predictions over...
Original headline: "SGA: Uncertainty Quantification for Multi-Step Forecasting in Time Series Foundation Models"
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- Sep 25, 04:00 UTC arXiv cs.LG lead source SGA: Uncertainty Quantification for Multi-Step Forecasting in Time Series Foundation Models