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2024 ICML ICML 2024

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

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Data Science & Analytics

Authors

Guoqi Yu, Jing Zou, Xiaowei Hu, Angelica I Aviles-Rivero, Jing Qin, Shujun WANG

Topics

Deep Learning > Architectures > Transformers Data Science & Analytics > Methods > Time Series Analysis Deep Learning > Techniques > Attention

Keywords

autoregressive self-attention channel-wise self-attention inter-series dependencies dual attention module intra-series variations learnable decomposition
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