AINeutralarXiv – CS AI · 7h ago6/10
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CITRAS: Covariate-Informed Transformer for Time Series Forecasting
Researchers introduce CITRAS, a Transformer-based model that improves time series forecasting by effectively integrating multiple data types: target variables, observed covariates (past-only data), and known covariates (advance-known data like calendar events). The model addresses a critical limitation in existing deep learning forecasting systems through two novel mechanisms that align future covariate information with predictions and refine cross-variable dependencies.