
Dynamic trend information captured through learnable decomposition and dual attention module for improved time series forecasting.


coremsg

multivariate-time-series-forecasting-learnable-decomposition-with-inter-series-dependencies-and-intra-series-variations-modeling


Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling


title_rewrite


The author introduces a learnable decomposition strategy to capture dynamic trend information more reasonably and proposes a dual attention module for better time series forecasting by capturing inter-series dependencies and intra-series variations simultaneously.


Revitalizing-Multivariate-Time-Series-Forecasting-Learnable-Decomposition-with-Inter-Series-Dependencies-and-Intra-Series-Variations-Modeling


Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling
