A General Theory of Equivariant CNNs on Homogeneous Spaces

Taco S. Cohen, Mario Geiger, Maurice Weiler. A General Theory of Equivariant CNNs on Homogeneous Spaces. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Edward A. Fox, Roman Garnett, editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. pages 9142-9153, 2019. [doi]

@inproceedings{CohenGW19,
  title = {A General Theory of Equivariant CNNs on Homogeneous Spaces},
  author = {Taco S. Cohen and Mario Geiger and Maurice Weiler},
  year = {2019},
  url = {http://papers.nips.cc/paper/9114-a-general-theory-of-equivariant-cnns-on-homogeneous-spaces},
  researchr = {https://researchr.org/publication/CohenGW19},
  cites = {0},
  citedby = {0},
  pages = {9142-9153},
  booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada},
  editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alché-Buc and Edward A. Fox and Roman Garnett},
}