Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery

Xiao Han, Saima Absar, Lu Zhang, Shuhan Yuan

2/12/2026

No official code found. Best implementation: hanxiao0607/AERCA (85 stars, MIT, last commit 2025-05-31).

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AERCA: Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery (ICLR 2025 Oral)

8513PythonFeb 16, 20251 years agoMIT

anomaly-detectionroot-cause-analysis

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@article{han2026root,
  title  = {Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery},
  author = {Xiao Han and Saima Absar and Lu Zhang and Shuhan Yuan},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:cbb0cf942196049aceb02199c7ad0b332d674fc0},
  journal = {ICLR 2025 2025}
}

Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery

Code Implementations(1)

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