CIGMO: Categorical invariant representations in a deep generative framework

Haruo Hosoya. CIGMO: Categorical invariant representations in a deep generative framework. In James Cussens, Kun Zhang 0001, editors, Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2022, 1-5 August 2022, Eindhoven, The Netherlands. Volume 180 of Proceedings of Machine Learning Research, pages 833-843, PMLR, 2022. [doi]

@inproceedings{Hosoya22-1,
  title = {CIGMO: Categorical invariant representations in a deep generative framework},
  author = {Haruo Hosoya},
  year = {2022},
  url = {https://proceedings.mlr.press/v180/hosoya22a.html},
  researchr = {https://researchr.org/publication/Hosoya22-1},
  cites = {0},
  citedby = {0},
  pages = {833-843},
  booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2022, 1-5 August 2022, Eindhoven, The Netherlands},
  editor = {James Cussens and Kun Zhang 0001},
  volume = {180},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}