Ister is a linear-complexity transformer using Dot-attention and inverted seasonal-trend decomposition for multivariate time series forecasting that reports state-of-the-art benchmark performance.
Are transformers effective for time series forecasting? In Proceedings of the AAAI conference on artificial intelligence , volume 37, pages 11121--11128
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Ister: Linear Transformer for Efficient Multivariate Time Series Forecasting
Ister is a linear-complexity transformer using Dot-attention and inverted seasonal-trend decomposition for multivariate time series forecasting that reports state-of-the-art benchmark performance.