Homomorphism AutoEncoder - Learning Group Structured Representations from Observed Transitions

Hamza Keurti, Hsiao-Ru Pan, Michel Besserve, Benjamin F. Grewe, Bernhard Schölkopf. Homomorphism AutoEncoder - Learning Group Structured Representations from Observed Transitions. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 16190-16215, PMLR, 2023. [doi]

@inproceedings{KeurtiPBGS23,
  title = {Homomorphism AutoEncoder - Learning Group Structured Representations from Observed Transitions},
  author = {Hamza Keurti and Hsiao-Ru Pan and Michel Besserve and Benjamin F. Grewe and Bernhard Schölkopf},
  year = {2023},
  url = {https://proceedings.mlr.press/v202/keurti23a.html},
  researchr = {https://researchr.org/publication/KeurtiPBGS23},
  cites = {0},
  citedby = {0},
  pages = {16190-16215},
  booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA},
  editor = {Andreas Krause 0001 and Emma Brunskill and KyungHyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett},
  volume = {202},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}