MadSGM: Multivariate Anomaly Detection with Score-based Generative Models.
Haksoo Lim|Sewon Park|Minjung Kim|Jaehoon Lee|Seonkyu Lim|Noseong Park
| Anthology ID: | DBLP:conf/cikm/Lim0K0LP23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1411-1420 |
| URL: | https://doi.org/10.1145/3583780.3614956 |
| DOI: | https://doi.org/10.1145/3583780.3614956 |
| DBLP: | conf/cikm/Lim0K0LP23 |
| BibTeX: |
@inproceedings{lim-2023-madsgm,
author = {Haksoo Lim and
Sewon Park and
Minjung Kim and
Jaehoon Lee and
Seonkyu Lim and
Noseong Park},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{MadSGM: Multivariate Anomaly Detection with Score-based Generative Models}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {1411--1420},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614956},
doi = {https://doi.org/10.1145/3583780.3614956}
}