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News/VaryST: Generalizable Spatio-Temporal Forecasting Beyond the Closed-World Setting
arxiv
PublishedOctober 15, 2026 at 4:00 AM

VaryST: Generalizable Spatio-Temporal Forecasting Beyond the Closed-World Setting

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arXiv:2610.19813v1 Announce Type: new Abstract: Spatio-temporal forecasting is fundamental to many real-world systems, yet deployment environments are inherently varying: temporal distributions may evolve, spatial domains may change, and observation availability may shift from training conditions. E

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