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Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series

Summary: Exathlon is the benchmark for explainable anomaly detection over time series, built on Spark traces with six anomaly types. Ground-truth root-cause and extended-effect labels enable AD/ED evaluation and end-to-end pipelines; demonstrated on three techniques. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h7c3fbfd06809c3db
Venue
VLDB
Year
2021
Pagerank
0.00010265663
Overall Rank
1,548 | 89.63%
DOI
10.14778/3476249.3476307
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{jacob_vldb21,
        title = {{Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series}},
        author = {Jacob, Vincent and Song, Fei and Stiegler, Arnaud and Rad, Bijan and Diao, Yanlei and Tatbul, Nesime},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {11},
        pages = {2613--2626},
        doi = {10.14778/3476249.3476307},
        url = {https://doi.org/10.14778/3476249.3476307},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 15 of 15 citing papers.

Rank Citing Paper Year Venue Pagerank
1,755 TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data 2022 VLDB 9.7074778e-05
1,950 TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection 2022 VLDB 9.303437e-05
3,734 Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series 2023 VLDB 7.0434227e-05
5,577 ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection 2024 VLDB 6.0619804e-05
6,090 AutoTSAD: Unsupervised Holistic Anomaly Detection for Time Series Data 2024 VLDB 5.8730318e-05
6,283 An Experimental Evaluation of Anomaly Detection in Time Series 2024 VLDB 5.8075726e-05
6,878 Sintel: A Machine Learning Framework to Extract Insights from Signals 2022 SIGMOD 5.6426922e-05
7,671 BALANCE: Bayesian Linear Attribution for Root Cause Localization 2023 SIGMOD 5.4565877e-05
8,537 TSGBench: Time Series Generation Benchmark 2024 VLDB 5.3050158e-05
9,374 A Demonstration of the Exathlon Benchmarking Platform for Explainable Anomaly Detection 2021 VLDB 5.1715133e-05
9,528 Time-Series Anomaly Detection: Overview and New Trends 2024 VLDB 5.151324e-05
9,597 Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous Domains 2025 VLDB 5.1376962e-05
9,600 TAB: Unified Benchmarking of Time Series Anomaly Detection Methods 2025 VLDB 5.1376962e-05
10,587 The Power of Anomaly Detection in Predictive Maintenance: [Experiments & Analysis] 2026 SIGMOD 4.9605343e-05
11,509 MLP-Mixer based Masked Autoencoders Are Effective, Explainable and Robust for Time Series Anomaly Detection 2025 VLDB 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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