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ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection

Summary: ImDiffusion uses diffusion-based imputation to model temporal and cross-series dependencies for multivariate time-series anomaly detection. It exploits intermediate denoising outputs as anomaly signals, outperforming prior methods and improving Microsoft production F1 by 11.4%. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
13755
Venue
VLDB
Year
2024
Pagerank
6.2246363e-05
Overall Rank
5,420 | 62.82%
DOI
10.14778/3632093.3632101

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{chen_vldb24,
        title = {{ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection}},
        author = {Chen, Yuhang and Zhang, Chaoyun and Ma, Minghua and Liu, Yudong and Ding, Ruomeng and Li, Bowen and He, Shilin and Rajmohan, Saravan and Lin, Qingwei and Zhang, Dongmei},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {3},
        pages = {359--372},
        doi = {10.14778/3632093.3632101},
        url = {https://doi.org/10.14778/3632093.3632101},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
9,388 Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minorities 2024 VLDB 5.2755515e-05
10,416 WaveStitch: Flexible and Fast Conditional Time Series Generation With Diffusion Models 2026 SIGMOD 5.093636e-05
10,500 SHoTClean: Bridging Soft and Hard Constraints for Multivariate Time Series Cleaning 2026 SIGMOD 5.093636e-05
10,981 DIM-SUM: Dynamic Imputation for Smart Utility Management 2025 VLDB 5.093636e-05
11,099 MLP-Mixer based Masked Autoencoders Are Effective, Explainable and Robust for Time Series Anomaly Detection 2025 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 cited papers.

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

Rank Cited Paper Year Venue Pagerank
142 LOF: Identifying Density-Based Local Outliers 2000 SIGMOD 0.0002962566
1,029 Anomaly Detection in Time Series: A Comprehensive Evaluation 2022 VLDB 0.00012557065
1,534 Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series 2021 VLDB 0.00010464308
1,793 TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data 2022 VLDB 9.7435472e-05
1,805 SAND: Streaming Subsequence Anomaly Detection 2021 VLDB 9.7116108e-05
1,949 Diagnosing Root Causes of Intermittent Slow Queries in Cloud Databases 2020 VLDB 9.430385e-05
2,004 TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection 2022 VLDB 9.3207067e-05
2,346 Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series 2020 VLDB 8.7168932e-05
3,447 Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection 2022 VLDB 7.4085215e-05
3,987 Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series 2023 VLDB 6.9722766e-05
4,851 Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles 2022 VLDB 6.4803317e-05
6,109 GraphAn: Graph-based Subsequence Anomaly Detection 2020 VLDB 5.9730493e-05
6,356 TimeEval: A Benchmarking Toolkit for Time Series Anomaly Detection Algorithms 2022 VLDB 5.9024453e-05
6,721 Sintel: A Machine Learning Framework to Extract Insights from Signals 2022 SIGMOD 5.7940977e-05
8,060 A New Distributional Treatment for Time Series and An Anomaly Detection Investigation 2022 VLDB 5.4958827e-05
9,448 Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection 2022 VLDB 5.2665425e-05
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