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TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data

Summary: TranAD applies attention-based Transformer encoders to multivariate time-series anomaly detection and diagnosis, combining focus-score self-conditioning with adversarial training for robust, fast inference. MAML enables data-efficient learning, outperforming baselines by up to 17% F1 while cutting training time 99%. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12818
Venue
VLDB
Year
2022
Pagerank
9.7435472e-05
Overall Rank
1,793 | 87.70%
DOI
10.14778/3514061.3514067

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{tuli_vldb22,
        title = {{TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data}},
        author = {Tuli, Shreshth and Casale, Giuliano and Jennings, Nicholas R.},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {6},
        pages = {1201--1214},
        doi = {10.14778/3514061.3514067},
        url = {https://doi.org/10.14778/3514061.3514067},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 19 of 19 citing papers.

Rank Citing Paper Year Venue Pagerank
4,038 BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks 2024 VLDB 6.9431109e-05
5,420 ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection 2024 VLDB 6.2246363e-05
6,141 An Experimental Evaluation of Anomaly Detection in Time Series 2024 VLDB 5.9628456e-05
6,154 Multivariate Time Series Cleaning under Speed Constraints 2024 SIGMOD 5.9567243e-05
7,075 Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity 2024 VLDB 5.7099047e-05
7,908 Billion-Scale Bipartite Graph Embedding: A Global-Local Induced Approach 2024 VLDB 5.5181056e-05
8,517 OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting 2023 VLDB 5.4119882e-05
9,379 Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous Domains 2025 VLDB 5.2755515e-05
9,382 TAB: Unified Benchmarking of Time Series Anomaly Detection Methods 2025 VLDB 5.2755515e-05
10,298 The Power of Anomaly Detection in Predictive Maintenance: [Experiments & Analysis] 2026 SIGMOD 5.093636e-05
10,372 From Suspicious Errors to Valid Data: On Repairing Spatio-Temporal Data via Spatial and Temporal Dependencies 2026 SIGMOD 5.093636e-05
10,500 SHoTClean: Bridging Soft and Hard Constraints for Multivariate Time Series Cleaning 2026 SIGMOD 5.093636e-05
10,629 MS-Index: Fast Top-k Subsequence Search for Multivariate Time Series under Euclidean Distance 2026 VLDB 5.093636e-05
10,747 A Structured Study of Multivariate Time-Series Distance Measures 2025 SIGMOD 5.093636e-05
10,784 The Best of Both Worlds: On Repairing Timestamps and Attribute Values for Multivariate Time Series 2025 SIGMOD 5.093636e-05
10,843 Streaming Time Series Subsequence Anomaly Detection: A Glance and Focus Approach 2025 VLDB 5.093636e-05
11,061 Large Language Models for Spatial Analysis Queries 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
11,266 DARKER: Efficient Transformer with Data-driven Attention Mechanism for Time Series 2024 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

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