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

7 citations · 7 across the 4 of their papers we have counts for

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cs.LG2026

Decentralized Attention Fails Centralized Signals: Rethinking Transformers for Medical Time Series

Guoqi Yu, Juncheng Wang, Chen Yang +3

Accurate analysis of medical time series (MedTS) data, such as electroencephalography (EEG) and electrocardiography (ECG), plays a pivotal role in healthcare applications, includin…

cs.LG2024★ 7 cited

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

Guoqi Yu, Jing Zou, Xiaowei Hu +3

Predicting multivariate time series is crucial, demanding precise modeling of intricate patterns, including inter-series dependencies and intra-series variations. Distinctive trend…