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Arxiv
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CITRAS: Covariate-Informed Transformer for Time Series Forecasting
- CITRAS is a patch-based Transformer that addresses challenges in covariate-informed time series forecasting.
- It leverages multiple targets and covariates, considering both past and future forecasting horizons.
- CITRAS introduces two novel mechanisms: Key-Value (KV) Shift and Attention Score Smoothing.
- Experimental results show that CITRAS achieves state-of-the-art performance in both covariate-informed and multivariate forecasting.
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