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FilterNet: Harnessing Frequency Filters for Time Series Forecasting Kun Yi
Neural Information Processing Systems
While numerous forecasters have been proposed using different network architectures, the Transformer-based models have state-of-the-art performance in time series forecasting.
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SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
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Time series analysis is widely used in extensive areas.
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Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
Shiyang Li, Xiaoyong Jin, Yao Xuan, Xiyou Zhou, Wenhu Chen, Yu-Xiang Wang, Xifeng Yan
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
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