[TSF] A Comprehensive Survey of Deep Learning for Time Series Forecasting: Architectural Diversity and Open Challenges
时序预测2025综述，pretty dope as an entry to study TSF。本文仅提供高度 … 阅读更多
深度学习
[TSF] LTSF-Linear (Are Transformers Effective for Time Series Forecasting?)
本文提出了DLinear，其通道独立策略启发了PatchTST的patch-patch注意力机制。 Are T … 阅读更多
[TSF] SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting
Transformer系列时序预测改进模型——SageFormer SageFormer: Series-Aw … 阅读更多
[TSF] iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
Transformer系列时序预测改进模型——iTransformer iTransformer: Inver … 阅读更多
[TSF] PatchTST (A Time Series is Worth 64 Words: Long-term Forecasting with Transformers)
Transformer系列时序预测改进模型——PatchTST A Time Series is Worth … 阅读更多