This repository provides the official implementation of Chimera: State Space Models Beyond Sequences.
Chimera generalizes State Space Models (SSMs) beyond 1D sequences to operate directly on any data topology — including language, images, and graphs — through a unified formulation based on the resolvent of the adjacency matrix.
For full details, please refer to our paper:
Chimera: State Space Models Beyond Sequences
Aakash Lahoti*, Tanya Marwah*, Ratish Puduppully, and Albert Gu
Transactions on Machine Learning Research (TMLR), 2025
arXiv:2510.12111 · OpenReview
If you use this work, please cite:
@article{
lahoti2025chimera,
title={Chimera: State Space Models Beyond Sequences},
author={Aakash Lahoti and Tanya Marwah and Ratish Puduppully and Albert Gu},
journal={Transactions on Machine Learning Research},
issn={2835-8856},
year={2025},
url={https://openreview.net/forum?id=yv0TUssepk},
note={}
}