This repository is a comprehensive, community-driven bibliography focused on State-Space Models (SSMs), with a particular emphasis on the Mamba architecture and its applications. It serves as a valuable resource for researchers and practitioners seeking to understand and leverage SSMs as a powerful alternative to Transformers for sequence modeling tasks, offering a consolidated view of the latest advancements and use cases in this rapidly evolving field.

How It Works

The project functions as a curated list of academic papers, surveys, theses, and related resources, meticulously organized by year and application domain. It provides direct links to papers (PDF, arXiv), code repositories (GitHub), and supplementary materials like slides and video tutorials, facilitating efficient discovery and access to relevant literature. The repository actively encourages community contributions to maintain its comprehensiveness and accuracy.

Quick Start & Requirements

This repository is a curated list of papers and does not involve code execution or installation. It serves as a reference guide for researchers.

Highlighted Details

• Extensive Coverage: Encompasses a vast collection of papers across diverse domains including NLP, computer vision, medical imaging, time series forecasting, and robotics.
• Mamba Focus: Highlights Mamba, a selective state-space model, as a key Transformer alternative for long-sequence modeling.
• Community-Driven: Actively seeks community input for continuous improvement and expansion of the paper list.
• Rich Resource Links: Provides direct links to papers, code, and supplementary materials for numerous entries.

Maintenance & Community

The repository is maintained by "Event-AHU" and welcomes community contributions via GitHub issues or email. Specific community channels or active maintainer details are not provided.

Licensing & Compatibility

No specific license is mentioned for the repository itself. The content consists of links to external academic papers, which are subject to their respective publication licenses.

Limitations & Caveats

As a community-driven effort, the list requires ongoing updates to keep pace with rapid research advancements in SSMs and Mamba. It is purely a bibliographic resource and does not contain executable code or implementations. There is a potential for minor inconsistencies due to the collaborative nature of its maintenance.