AIBullisharXiv – CS AI · 7h ago7/10
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VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting
Researchers present VLBM, a machine learning framework designed to improve multivariate time series forecasting under out-of-distribution (OOD) conditions by separating stable patterns from anomalous deviations. The model demonstrates 15% average improvement over existing methods across real-world datasets, addressing a critical gap where standard forecasting fails during rare but high-impact events.