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StateFlow: Dual-State Recurrent Modeling for Long-Horizon Time Series Forecasting

arXiv cs.LG · 5d ago Cached

This paper introduces StateFlow, a recurrent forecasting framework that extends the Variability-Aware Recursive Neural Network (VARNN) to long-horizon multivariate time series forecasting by using a dual-state recurrent backbone and a chunk-based decoder, achieving competitive performance against strong baselines.

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