Updated citation

README.md

@@ -55,15 +55,78 @@ The main difference is the presence of the class [`IrrepsArray`](https://e3nn-ja
 `IrrepsArray` contains the irreps (`Irreps`) along with the data array.
 
 ## Citing
+
+- Euclidean Neural Networks
+```
+@misc{thomas2018tensorfieldnetworksrotation,
+      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{weiler20183dsteerablecnnslearning,
+      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{kondor2018clebschgordannetsfullyfourier,
+      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}, 
+}
+```
+- e3nn
 ```
 @misc{e3nn_paper,
     doi = {10.48550/ARXIV.2207.09453},
     url = {https://arxiv.org/abs/2207.09453},
     author = {Geiger, Mario and Smidt, Tess},
-    keywords = {Machine Learning (cs.LG), Artificial Intelligence (cs.AI), Neural and Evolutionary Computing (cs.NE), FOS: Computer and information sciences, FOS: Computer and information sciences}, 
+    keywords = {Machine Learning (cs.LG), Artificial Intelligence (cs.AI), Neural and Evolutionary Computing (cs.NE), FOS: Computer and information sciences, FOS: Computer and information sciences},
     title = {e3nn: Euclidean Neural Networks},
     publisher = {arXiv},
     year = {2022},
     copyright = {Creative Commons Attribution 4.0 International}
 }
+
+@software{e3nn,
+  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}
+}
 ```