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[Mamba-Survey-2024] Paper list for State-Space-Model/Mamba and it's Applications
| Date | Stars |
|---|---|
| 2026-07-24 | 754 |
| 2026-07-25 | 754 |
| 2026-07-28 | 754 |
| 2026-07-30 | 754 |
| 2026-09-02 | 754 |
| 2026-09-09 | 755 |
| 2026-09-11 | 756 |
| 2026-09-12 | 755 |
| 2026-09-20 | 755 |
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# Mamba_State_Space_Model_Paper_List Paper list for State-Space-Model and its Applications <p align="center"> <img src="https://github.com/Event-AHU/Mamba_State_Space_Model_Paper_List/blob/main/mamba_park.jpg" width="250"> </p> #### We appreciate any useful suggestions for improvement of this paper list or survey from peers. Please raise issues or send an email to **[email protected]**. Thanks for your cooperation! **State Space Model for New-Generation Network Alternative to Transformers: A Survey**, [[Xiao Wang](https://wangxiao5791509.github.io/)], Shiao Wang, Yuhe Ding, Yuehang Li, Wentao Wu, Yao Rong, Weizhe Kong, Ju Huang, Shihao Li, Haoxiang Yang, Ziwen Wang, Bo Jiang, Chenglong Li, Yaowei Wang, Yonghong Tian, Jin Tang, 2024 [[PDF](https://github.com/Event-AHU/Mamba_State_Space_Model_Paper_List/blob/main/SSM_AHU_survey_v1.pdf)] [[arXiv](https://arxiv.org/abs/2404.09516)] [[Slides](https://github.com/Event-AHU/Mamba_State_Space_Model_Paper_List/blob/main/SSM_Slides_2024.05.19.pdf)] ## :collision: Update Log * [2026.09.05] This survey is accepted by the journal **Visual Intelligence**! * [2024.05.19] [[SSM_Slides_2024.05.19.pdf](https://github.com/Event-AHU/Mamba_State_Space_Model_Paper_List/blob/main/SSM_Slides_2024.05.19.pdf)] <p align="center"> <img src="https://github.com/Event-AHU/Mamba_State_Space_Model_Paper_List/blob/main/figures/SSM_Slides_Screenshot.png" width="600"> </p> * [2024.04.15] We release the first version of the survey on state space model [[**arXiv**](https://arxiv.org/abs/2404.09516)] ## Video Tutorial * [**Mamba: Linear-Time Sequence Modeling with Selective State Spaces (COLM Oral 2024)**](https://youtu.be/X-7rgesJaGM?si=4ivVgAE4QUPQxFV0) ## Thesis & Surveys * **Modeling sequences with structured state spaces**, Responsibility: Albert Gu, Publication: [Stanford, California] : [Stanford University], 2023 [[Thesis (330 pages)](https://searchworks.stanford.edu/view/14784021)] [[PDF](https://stacks.stanford.edu/file/druid:mb976vf9362/gu_dissertation-augmented.pdf)] * **State Space Model for New-Generation Network Alternative to Transformers: A Survey**, Xiao Wang, Shiao Wang, Yuhe Ding, Yuehang Li, Wentao Wu, Yao Rong, Weizhe Kong, Ju Huang, Shihao Li, Haoxiang Yang, Ziwen Wang, Bo Jiang, Chenglong Li, Yaowei Wang, Yonghong Tian, Jin Tang, 2024 [[PDF](https://github.com/Event-AHU/Mamba_State_Space_Model_Paper_List/blob/main/SSM_AHU_survey_v1.pdf)] [[arXiv](https://arxiv.org/abs/2404.09516)] * **State Space Models as Foundation Models: A Control Theoretic Overview**, arXiv:2403.16899, Carmen Amo Alonso, Jerome Sieber, Melanie N. Zeilinger [[Paper](https://arxiv.org/abs/2403.16899)] * **A Survey on Visual Mamba**, arXiv:2404.15956, Hanwei Zhang, Ying Zhu, Dan Wang, Lijun Zhang, Tianxiang Chen, Zi Ye [[Paper](https://arxiv.org/abs/2404.15956)] * **Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges,** Badri Narayana Patro, Vijay Srinivas Agneeswaran [[Paper](https://arxiv.org/abs/2404.16112)] [[Github](https://github.com/badripatro/mamba360)] * **A Survey on Vision Mamba: Models, Applications and Challenges**, Rui Xu, Shu Yang, Yihui Wang, Bo Du, Hao Chen [[Paper](https://arxiv.org/abs/2404.18861)] [[Paper List](https://github.com/Ruixxxx/Awesome-Vision-Mamba-Models)] * **Vision Mamba: A Comprehensive Survey and Taxonomy**, arXiv:2405.03978, Xiao Liu, Chenxu Zhang, Lei Zhang [[Paper](https://arxiv.org/abs/2405.04404)] [[Github](https://github.com/lx6c78/Vision-Mamba-A-Comprehensive-Survey-and-Taxonomy)] * **Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis**, Moein Heidari, Sina Ghorbani Kolahi, Sanaz Karimijafarbigloo, Bobby Azad, Afshin Bozorgpour, Soheila Hatami, Reza Azad, Ali Diba, Ulas Bagci, Dorit Merhof, Ilker Hacihaliloglu, arXiv:2406.03430 [[Paper](https://arxiv.org/abs/2406.03430)]
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:61d663afa5a4f460, topic:transformer, name:state space model, desc:state space model
matched fp:61d663afa5a4f460, readme:tutorial, name:paper list, desc:paper list