BITS: Rethinking Fair and Comprehensive Evaluation for Irregular Time Series Forecasting
BITS, a standardized, reproducible, and extensible benchmark for advancing research on irregular time series forecasting, is proposed and it is found that method performance varies substantially across irregularity characteristics, with no single modeling strategy consistently dominating.
Kang-Jia Yan, Lin-Feng Wang, Tian Shen et al.
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