[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
人工智能
[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
[TSF] Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
Transformer系列时序预测改进模型——Autoformer Autoformer: Decomposi … 阅读更多