Cross-Variable and Cross-Temporal Learning for Time Series Forecasting

Cross Variable and Temporal Integration for Improved Time Series Forecasting

This paper introduces the Cross Variable and Temporal Network (CVTN), a novel deep learning architecture that distinctively separates cross-variable and cross-temporal feature extraction to enhance time series forecasting performance.