@misc{https://doi.org/10.48550/arxiv.2207.09453,
    doi = {10.48550/ARXIV.2207.09453},
    url = {https://arxiv.org/abs/2207.09453},
    author = {Geiger, Mario and Smidt, Tess},
    title = {e3nn: Euclidean Neural Networks},
    publisher = {arXiv},
    year = {2022},
    copyright = {Creative Commons Attribution 4.0 International}
}

@misc{thomas2018tensorfieldnetworks,
    title={Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds}, 
    author={Nathaniel Thomas and Tess Smidt and Steven Kearnes and Lusann Yang and Li Li and Kai Kohlhoff and Patrick Riley},
    year={2018},
    eprint={1802.08219},
    archivePrefix={arXiv},
    primaryClass={cs.LG},
    url={https://arxiv.org/abs/1802.08219}
}

@misc{weiler20183dsteerablecnns,
    title={3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data}, 
    author={Maurice Weiler and Mario Geiger and Max Welling and Wouter Boomsma and Taco Cohen},
    year={2018},
    eprint={1807.02547},
    archivePrefix={arXiv},
    primaryClass={cs.LG},
    url={https://arxiv.org/abs/1807.02547}
}

@misc{kondor2018clebschgordannets,
    title={Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network}, 
    author={Risi Kondor and Zhen Lin and Shubhendu Trivedi},
    year={2018},
    eprint={1806.09231},
    archivePrefix={arXiv},
    primaryClass={stat.ML},
    url={https://arxiv.org/abs/1806.09231}
}

@software{e3nn_software,
    author = {Mario Geiger and
              Tess Smidt and
              Alby M. and
              Benjamin Kurt Miller and
              Wouter Boomsma and
              Bradley Dice and
              Kostiantyn Lapchevskyi and
              Maurice Weiler and
              Michał Tyszkiewicz and
              Simon Batzner and
              Dylan Madisetti and
              Martin Uhrin and
              Jes Frellsen and
              Nuri Jung and
              Sophia Sanborn and
              Mingjian Wen and
              Josh Rackers and
              Marcel Rød and
              Michael Bailey},
    title = {Euclidean neural networks: e3nn},
    month = apr,
    year = 2022,
    publisher = {Zenodo},
    version = {0.5.0},
    doi = {10.5281/zenodo.6459381},
    url = {https://doi.org/10.5281/zenodo.6459381}
}