Discovering Symbolic Models from Deep Learning with Inductive Biases

Miles D. Cranmer, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Rui Xu, Kyle Cranmer, David N. Spergel, Shirley Ho. Discovering Symbolic Models from Deep Learning with Inductive Biases. In Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, Hsuan-Tien Lin, editors, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. 2020. [doi]

@inproceedings{CranmerSBXCSH20,
  title = {Discovering Symbolic Models from Deep Learning with Inductive Biases},
  author = {Miles D. Cranmer and Alvaro Sanchez-Gonzalez and Peter W. Battaglia and Rui Xu and Kyle Cranmer and David N. Spergel and Shirley Ho},
  year = {2020},
  url = {https://proceedings.neurips.cc/paper/2020/hash/c9f2f917078bd2db12f23c3b413d9cba-Abstract.html},
  researchr = {https://researchr.org/publication/CranmerSBXCSH20},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual},
  editor = {Hugo Larochelle and Marc'Aurelio Ranzato and Raia Hadsell and Maria-Florina Balcan and Hsuan-Tien Lin},
}