SymTorch
Deep Learning Interpretability with Symbolic Regression
Install / Use
npx skills add astroautomata/SymTorchInstalls into whichever agent you are using.
README
SymTorch allows you to approximate the behaviour of components within deep learning models with symbolic equations using PySR.
Installation
SymTorch is available on PyPI as torch-symbolic:
pip install torch-symbolic
Paper
Our paper is available on arXiv. You can also visit the accompanying website for more information.
Documentation
Full documentation is available at ReadTheDocs.
Citation
If you use SymTorch in your research, please cite:
@misc{symtorch2026,
title = {SymTorch: A Framework for Symbolic Distillation of Deep Neural Networks},
author = {Tan, Elizabeth S.Z. and Soubki, Adil and Cranmer, Miles},
year = {2026},
eprint = {2602.21307},
archivePrefix= {arXiv},
primaryClass = {cs.LG},
url = {https://arxiv.org/abs/2602.21307}
}
License
MIT License
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