2026
FlowState: Sampling-Rate‑Equivariant Time‑Series Forecasting
ICML 2026poster
Existing time series foundation models (TSFMs), often based on transformer variants, lack adaptability to different sampling rates, struggle with generalization across varying context and target lengths and are computationally inefficient. We introduce FlowState, a novel TSFM architecture that achie…