CATS introduces a method to construct Auxiliary Time Series (ATS) that effectively represents and incorporates inter-series relationships for forecasting, achieving state-of-the-art results in Multivariate Time Series Forecasting (MTSF).
CATS method enhances multivariate time series forecasting by generating Auxiliary Time Series to represent inter-series relationships.
MG-TSD 모델은 다중 단위 시계열 확산 모델로, 시간 순서를 안내하는 과정을 통해 예측 성능을 향상시킵니다.