Empirical Inference

On Disentangled Representations Learned From Correlated Data

2021

Conference Paper

ei

Author(s): Träuble, F. and Creager, E. and Kilbertus, N. and Locatello, F. and Dittadi, A. and Goyal, A. and Schölkopf, B. and Bauer, S.
Book Title: Proceedings of 38th International Conference on Machine Learning (ICML)
Volume: 139
Pages: 10401--10412
Year: 2021
Month: July
Series: Proceedings of Machine Learning Research
Editors: Meila, Marina and Zhang, Tong
Publisher: PMLR
Department(s): Empirical Inference
Research Project(s): Neural Nets
Causal Representation Learning
Bibtex Type: Conference Paper (conference)
Event Place: Virtual Conference
State: Published
URL: https://proceedings.mlr.press/v139/trauble21a.html

BibTex 

@conference{Traubleetal21,
  title = {On Disentangled Representations Learned From Correlated Data},
  author = {Tr{\"a}uble, F. and Creager, E. and Kilbertus, N. and Locatello, F. and Dittadi, A. and Goyal, A. and Sch{\"o}lkopf, B. and Bauer, S.},
  booktitle = {Proceedings of 38th International Conference on Machine Learning (ICML)},
  volume = {139},
  pages = {10401--10412},
  series = {Proceedings of Machine Learning Research},
  editors = {Meila, Marina and Zhang, Tong},
  publisher = {PMLR},
  month = jul,
  year = {2021},
  doi = {},
  url = {https://proceedings.mlr.press/v139/trauble21a.html},
  month_numeric = {7}
}