metadata
license: mit
tags:
- neural-operator
- attention
- operator-learning
arxiv: 2605.31559
FuncAttn: Functional Attention
This repository hosts the trained model weights for the PDE benchmarks reported in the paper Functional Attention: From Pairwise Affinities to Functional Correspondences (ICML 2026).
- Project page: https://xjffff.github.io/funcattn/
- Code: https://github.com/xjffff/funcattn
Citation
@misc{xiao2026functionalattentionpairwiseaffinities,
title={Functional Attention: From Pairwise Affinities to Functional Correspondences},
author={Jiefang Xiao and Maolin Gao and Simon Weber and Guandao Yang and Daniel Cremers},
year={2026},
eprint={2605.31559},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/2605.31559},
}