Jun 26, 2023 · Moreover, InParformer is constructed with evolutionary seasonal-trend decomposition modules to enhance intricate temporal pattern extraction.
It is a Transformer-based decomposition architec- ture consisting of interactive parallel attention (InPar Atten- tion) modules and evolutionary seasonal-trend ...
Moreover, InParformer is constructed with evolutionary seasonal-trend decomposition modules to enhance intricate temporal pattern extraction. Extensive ...
Feb 7, 2023 · Moreover, In Parformer is constructed with evolutionary seasonal-trend decomposition modules to enhance intricate temporal pattern extraction.
InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting. bookmark
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[AAAI 2023] InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting. [Paper]. [Code] ...
duces evolutionary decomposition with interactive parallel attention for long-term time series forecasting. This model decomposes the input time series into ...
InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting. 26 Jun 2023, Haizhou Cao, et ...
Dec 2, 2023 · Wang, “InParformer: Evolutionary. Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series. Forecasting ...
Jun 24, 2021 · This paper designs Autoformer as a novel decomposition architecture with an Auto-Correlation mechanism based on the series periodicity.