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@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}
}
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