DTMamba : Dual Twin Mamba for Time Series Forecasting
On the map: State-space sequence models (S4, Mamba) → Time series forecasting with SSMs
Abstract (arXiv)
We utilized the Mamba model for time series data prediction tasks, and the experimental results indicate that our model performs well.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Placed in Time series forecasting with SSMs, one of 10 directions in State-space sequence models (S4, Mamba). Builds on 15 of its 38 references that are in the map. First posted on arXiv 11 May 2024.
Builds on
15 of 38 references.
References · 15
- 2017Attention Is All You Needcited by 59,932
- 2015Deep Residual Learning for Image Recognitioncited by 51,809
- 2014Adam: A Method for Stochastic Optimizationcited by 36,960
- 2021Efficiently Modeling Long Sequences with Structured State Spacescited by 2,424
- 2022A Time Series is Worth 64 Words: Long-term Forecasting with Transformerscited by 1,981
- 2021Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecastingcited by 1,654
- 2014Convolutional Neural Networks for Sentence Classificationcited by 1,124
- 2017Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networkscited by 869
- 2024Jamba: A Hybrid Transformer-Mamba Language Modelcited by 390
- 2021SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interactioncited by 335
- 2023Long-term Forecasting with TiDE: Time-series Dense Encodercited by 327
- 2024VideoMamba: State Space Model for Efficient Video Understandingcited by 325
3 more
- 2014Recurrent Neural Network Regularizationcited by 189
- 2021Time Series Prediction using Deep Learning Methods in Healthcarecited by 71
- 2024An Analysis of Linear Time Series Forecasting Modelscited by 40
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Citing papers per year: 2024: 1.
1 paper.
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