Event-AHU/Mamba_State_Space_Model_Paper_List
A curated collection of papers and survey on State Space Models and Mamba, deep learning architectures for efficient sequence modeling.
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This repository compiles research papers on State Space Models (SSM) and Mamba architectures, which are neural network designs emerging as alternatives to Transformers for sequence modeling tasks. It includes a comprehensive survey paper (arXiv:2404.09516) and links to related resources like video tutorials and slides covering these model architectures.