Mamba can handle complex dependencies in long sequences while maintaining linear complexity, thereby enhancing our model's computational efficiency and performance in long-term time series forecasting tasks. Ad
Integrating Mamba and Transformer for Long-Short Range Time Series Forecasting 方法:本文旨在探索时间序列数据中Mamba和Transformer架构的融合潜力,提出了一种混合框架Mambaformer,通过内部整合Mamba和Transformer的优势实现长短范围的时间序列预测,实验证明Mambaformer家族在长短范围时间序列预测问题上优于Mamba和Transformer。
Integrating Mamba and Transformer for Long-Short Range Time Series Forecasting 方法:本文旨在探索时间序列数据中Mamba和Transformer架构的融合潜力,提出了一种混合框架Mambaformer,通过内部整合Mamba和Transformer的优势实现长短范围的时间序列预测,实验证明Mambaformer家族在长短范围时间序列预测问题上优于Mamba和Transformer。
Is mamba effective for time series forecasting?[J]. Neurocomputing, 2025, 619: 129178. 摘要 本文探讨了Mamba模型在时间序列预测(TSF)中的有效性。TSF任务要求模型能够从历史时间序列数据中识别和提取隐藏模式,以预测未来状态。Transformer模型在TSF中表现出色,但其二次复杂度导致计算效率低下和高成本。Mamba作为...
Mamba time series forecasting with uncertainty propagation 文章解析 本文提出了一种基于Mamba架构的双网络框架Mamba-ProbTSF,用于概率时间序列预测。 该方法通过一个网络生成点预测,另一个网络估计预测不确定性(建模方差),并在合成和真实数据集上验证了其有效性。
Time series forecasting refers to using existing time series data to predict future values or trends, which is widely used in several real-world domains such as transportation, finance, weather, energy, etc. Earlier time series prediction methods include autoregressive (AR) [1,2,3], exponential ...
内容提示: Bi-Mamba+: Bidirectional Mamba for Time Series ForecastingAobo Liang 1 Xingguo Jiang 1 Yan Sun 1* Xiaohou Shi 2 Ke Li 31Beijing University of Posts and Telecommunications, China2China Telecom Research Institute, Beijing, China3China Telecom Corporation Intelligent Cloud Network Operation ...
Mamba是最近最火的模型之一,更是被业内认为可以有取代Transformer的潜力。今天介绍的这篇文章,探索了Mamba模型在时间序列预测任务上是有有效。本文首先给大家介绍Mamba的基础原理,再结合这篇文章探索在时间序列预测场景中Mamba是否有效。 论文标题:Is Mamba Effective for Time Series Forecasting?
Mamba是最近最火的模型之一,更是被业内认为可以有取代Transformer的潜力。今天介绍的这篇文章,探索了Mamba模型在时间序列预测任务上是有有效。本文首先给大家介绍Mamba的基础原理,再结合这篇文章探索在时间序列预测场景中Mamba是否有效。 论文标题:Is Mamba Effective for Time Series Forecasting?
论文题目:Is Mamba Effective for Time Series Forecasting? 论文链接:https://arxiv.org/abs/2403.11144 PS: 欢迎大家扫码关注公众号_,我们一起在AI的世界中探索前行,期待共同进步! 精彩回顾 1.一种用于治疗性肽生成的多模态对比扩散模型 2.知识图谱结构的提示 ...