ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2206.15033
  4. Cited By
A Causal Approach to Detecting Multivariate Time-series Anomalies and
  Root Causes
v1v2 (latest)

A Causal Approach to Detecting Multivariate Time-series Anomalies and Root Causes

30 June 2022
Wenzhuo Yang
Kun Zhang
Guosheng Lin
    AI4TSCML
ArXiv (abs)PDFHTML

Papers citing "A Causal Approach to Detecting Multivariate Time-series Anomalies and Root Causes"

8 / 8 papers shown
Title
CaPulse: Detecting Anomalies by Tuning in to the Causal Rhythms of Time Series
CaPulse: Detecting Anomalies by Tuning in to the Causal Rhythms of Time Series
Yutong Xia
Yingying Zhang
Yuxuan Liang
Lunting Fan
Qingsong Wen
Roger Zimmermann
AI4TS
111
1
0
06 Aug 2025
Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures
Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures
Arun Vignesh Malarkkan
Dongjie Wang
Haoyue Bai
Yanjie Fu
78
1
0
18 Jul 2025
Robust Root Cause Diagnosis using In-Distribution Interventions
Robust Root Cause Diagnosis using In-Distribution InterventionsInternational Conference on Learning Representations (ICLR), 2025
Lokesh Nagalapatti
Ashutosh Srivastava
Sunita Sarawagi
Amit Sharma
169
0
0
02 May 2025
Open Challenges in Time Series Anomaly Detection: An Industry Perspective
Andreas Mueller
AI4TS
207
2
0
08 Feb 2025
Industrial-Grade Time-Dependent Counterfactual Root Cause Analysis
  through the Unanticipated Point of Incipient Failure: a Proof of Concept
Industrial-Grade Time-Dependent Counterfactual Root Cause Analysis through the Unanticipated Point of Incipient Failure: a Proof of Concept
Alexandre Trilla
Rajesh Rajendran
Ossee Yiboe
Quentin Possamaï
Nenad Mijatovic
Jordi Vitrià
184
0
0
10 Jul 2024
PORCA: Root Cause Analysis with Partially Observed Data
PORCA: Root Cause Analysis with Partially Observed Data
Chang Gong
Di Yao
Jin Wang
Wenbin Li
Lanting Fang
Yongtao Xie
Kaiyu Feng
Peng Han
Jingping Bi
271
4
0
08 Jul 2024
RealTCD: Temporal Causal Discovery from Interventional Data with Large
  Language Model
RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model
Peiwen Li
Xin Wang
Zeyang Zhang
Yuan Meng
Fang-lin Shen
Yue Li
Jialong Wang
Yang Li
Wenweu Zhu
290
14
0
23 Apr 2024
On Root Cause Localization and Anomaly Mitigation through Causal
  Inference
On Root Cause Localization and Anomaly Mitigation through Causal InferenceInternational Conference on Information and Knowledge Management (CIKM), 2022
Xiao Han
Lu Zhang
Yongkai Wu
Shuhan Yuan
228
10
0
08 Dec 2022
1