Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection
Publication
, Conference
Lai, C-H; Zou, D; Lerman, G
Published in: Proceedings of Machine Learning Research
April 25, 2023
Duke Scholars
Published In
Proceedings of Machine Learning Research
Publication Date
April 25, 2023
Volume
206
Start / End Page
3538 / 3567
Location
Valencia, Spain
Conference Name
The 26th International Conference on Artificial Intelligence and Statistics
Citation
APA
Chicago
ICMJE
MLA
NLM
Lai, C.-H., Zou, D., & Lerman, G. (2023). Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection. In F. Ruiz, J. Dy, & J.-W. van de Meent (Eds.), Proceedings of Machine Learning Research (Vol. 206, pp. 3538–3567). Valencia, Spain.
Lai, Chieh-Hsin, Dongmian Zou, and Gilad Lerman. “Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection.” In Proceedings of Machine Learning Research, edited by Francisco Ruiz, Jennifer Dy, and Jan-Willem van de Meent, 206:3538–67, 2023.
Lai C-H, Zou D, Lerman G. Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection. In: Ruiz F, Dy J, van de Meent J-W, editors. Proceedings of Machine Learning Research. 2023. p. 3538–67.
Lai, Chieh-Hsin, et al. “Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection.” Proceedings of Machine Learning Research, edited by Francisco Ruiz et al., vol. 206, 2023, pp. 3538–67.
Lai C-H, Zou D, Lerman G. Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection. In: Ruiz F, Dy J, van de Meent J-W, editors. Proceedings of Machine Learning Research. 2023. p. 3538–3567.
Published In
Proceedings of Machine Learning Research
Publication Date
April 25, 2023
Volume
206
Start / End Page
3538 / 3567
Location
Valencia, Spain
Conference Name
The 26th International Conference on Artificial Intelligence and Statistics