External Links

Cite Key

Statistics

  • References: 0
  • Cited by: 0
  • Reviews: 0
  • Bibliographies: 0

PDF

Researchr

Researchr is a web site for finding, collecting, sharing, and reviewing scientific publications, for researchers by researchers.

Sign up for an account to create a profile with publication list, tag and review your related work, and share bibliographies with your co-authors.

Vector Quantized Wasserstein Auto-Encoder

Long Tung Vuong, Trung Le, He Zhao 0001, Chuanxia Zheng, Mehrtash Harandi, Jianfei Cai 0001, Dinh Q. Phung. Vector Quantized Wasserstein Auto-Encoder. 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 35223-35242, PMLR, 2023. [doi]

Authors

Long Tung Vuong

This author has not been identified. Look up 'Long Tung Vuong' in Google

Trung Le

This author has not been identified. Look up 'Trung Le' in Google

He Zhao 0001

This author has not been identified. Look up 'He Zhao 0001' in Google

Chuanxia Zheng

This author has not been identified. Look up 'Chuanxia Zheng' in Google

Mehrtash Harandi

This author has not been identified. Look up 'Mehrtash Harandi' in Google

Jianfei Cai 0001

This author has not been identified. Look up 'Jianfei Cai 0001' in Google

Dinh Q. Phung

This author has not been identified. Look up 'Dinh Q. Phung' in Google
runs on