Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective.

@inproceedings{wang-2024-revisiting, author = {Zexin Wang and Changhua Pei and Minghua Ma and Xin Wang and Zhihan Li and Dan Pei and Saravan Rajmohan and Dongmei Zhang and Qingwei Lin and Haiming Zhang and Jianhui Li and Gaogang Xie}, editor = {Tat-Seng Chua and Chong-Wah Ngo and Ravi Kumar and Hady Wirawan Lauw and Roy Ka-Wei Lee}, title = {{Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective}}, booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}}, pages = {3096--3105}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3589334.3645710}, doi = {https://doi.org/10.1145/3589334.3645710} }