@misc{wu2020flawed,
  title = {{Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress}},
  author = {Wu, Renjie and Keogh, Eamonn J.},
  year = {2020},
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@misc{easytsad,
  title = {{EasyTSAD: Diff method, default configuration}},
  author = {{EasyTSAD contributors}},
  year = {2024},
  note = {Commit a13519014c0334a26b0e74480881db503e6a8e0b},
  url = {https://github.com/dawnvince/EasyTSAD/tree/a13519014c0334a26b0e74480881db503e6a8e0b/EasyTSAD/Methods/Diff}
}

@misc{kim2022rigorous,
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  year = {2021},
  eprint = {2109.05257},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2109.05257}
}

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  title = {{A theory of learning from different domains}},
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@inproceedings{ganguly2025forte,
  title = {{Forte: Finding Outliers with Representation Typicality Estimation}},
  author = {Ganguly, Debargha and Morningstar, Warren Richard and Yu, Andrew Seohwan and Chaudhary, Vipin},
  booktitle = {The Thirteenth International Conference on Learning Representations},
  year = {2025},
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@inproceedings{chen2025k4,
  title = {{K⁴: Online Log Anomaly Detection Via Unsupervised Typicality Learning}},
  author = {Chen, Weicong and Singh, Vikash and Rahmani, Zahra and Ganguly, Debargha and Hariri, Mohsen and Chaudhary, Vipin},
  booktitle = {2025 IEEE 32nd International Conference on High Performance Computing, Data, and Analytics (HiPC)},
  publisher = {IEEE},
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}

@inproceedings{chen2026k4serve,
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  author = {Chen, Weicong and Singh, Vikash and Rahmani, Zahra and Ganguly, Debargha and Hariri, Mohsen and Maxwell, Sean and Gajurel, Sanjaya and Djohari, Hadrian and Chaudhary, Vipin},
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@inproceedings{ganguly2026trust,
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@inproceedings{xu2022anomalytransformer,
  title = {{Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy}},
  author = {Xu, Jiehui and Wu, Haixu and Wang, Jianmin and Long, Mingsheng},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
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}

@inproceedings{yang2023dcdetector,
  title = {{DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection}},
  author = {Yang, Yiyuan and Zhang, Chaoli and Zhou, Tian and Wen, Qingsong and Sun, Liang},
  booktitle = {ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)},
  year = {2023},
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}

@inproceedings{wang2024fcvae,
  title = {{Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective}},
  author = {Wang, Zexin and Pei, Changhua and Ma, Minghua and Wang, Xin and Li, Zhihan and Pei, Dan and Rajmohan, Saravan and Zhang, Dongmei and Lin, Qingwei and Zhang, Haiming and Li, Jianhui and Xie, Gaogang},
  booktitle = {The Web Conference (WWW)},
  year = {2024},
  url = {https://arxiv.org/abs/2402.02820}
}