Neural Contextual Anomaly Detection for Time Series

International Joint Conference on Artificial Intelligence (IJCAI), 2021

16 July 2021

Chris U. Carmona

Franccois-Xavier Aubet

Papers citing "Neural Contextual Anomaly Detection for Time Series"

32 / 32 papers shown

Title
CAPMix: Robust Time Series Anomaly Detection Based on Abnormal Assumptions with Dual-Space Mixup Xudong Mou Rui Wang Tiejun Wang Renyu Yang Shiru Chen Jie Sun Tianyu Wo Xudong Liu AI4TS 92 0 0 08 Sep 2025
Robust and Explainable Detector of Time Series Anomaly via Augmenting Multiclass Pseudo-Anomalies Kohei Obata Yasuko Matsubara Yasushi Sakurai AAML AI4TS 140 1 0 27 May 2025
RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated Data Xudong Mou Rui Wang Bo Li Tianyu Wo Jie Sun Han Wang Xudong Liu AI4TS 259 3 0 24 Mar 2025
A Review on Self-Supervised Learning for Time Series Anomaly Detection: Recent Advances and Open Challenges Aitor Sánchez-Ferrera Borja Calvo Jose A. Lozano AI4TS 393 3 0 25 Jan 2025
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment LabelsKnowledge Discovery and Data Mining (KDD), 2025 Yaxuan Wang Hao Cheng Jing Xiong Qingsong Wen Han Jia Ruixuan Song Li Zhang Zhaowei Zhu Yang Liu AI4TS 212 3 0 21 Jan 2025
Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection Yutong Chen Hongzuo Xu Guansong Pang Hezhe Qiao Yuan Zhou Mingsheng Shang AI4TS 158 6 0 28 Jun 2024
Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection Jun Liu Chaoyun Zhang Jiaxu Qian Ming-Jie Ma Si Qin Chetan Bansal Qingwei Lin Saravan Rajmohan Dongmei Zhang AI4TS 160 29 0 24 May 2024
SimAD: A Simple Dissimilarity-based Approach for Time Series Anomaly DetectionIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024 Zhijie Zhong Zhiwen Yu Xing Xi Yue Xu Jiahui Chen Yiyuan Yang Kaixiang Yang Jane You AI4TS 219 12 0 18 May 2024
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective Zexin Wang Changhua Pei Minghua Ma Xin Wang Zhihan Li ... Dongmei Zhang Qingwei Lin Haiming Zhang Jianhui Li Gaogang Xie AI4TS 236 70 0 05 Feb 2024
Large Language Model Guided Knowledge Distillation for Time Series Anomaly DetectionInternational Joint Conference on Artificial Intelligence (IJCAI), 2024 Chen Liu Shibo He Qihang Zhou Shizhong Li Wenchao Meng AI4TS 159 35 0 26 Jan 2024
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection Zhijie Zhong Zhiwen Yu Yiyuan Yang Weizheng Wang Kaixiang Yang 290 22 0 18 Jan 2024
Unraveling the "Anomaly" in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution Yuting Sun Guansong Pang Guanhua Ye Tong Chen Xia Hu Hongzhi Yin 354 16 0 19 Nov 2023
Open-Set Multivariate Time-Series Anomaly DetectionEuropean Conference on Artificial Intelligence (ECAI), 2023 Thomas Lai Thi Kieu Khanh Ho Narges Armanfard AI4TS 195 5 0 18 Oct 2023
Multivariate Time Series Anomaly Detection: Fancy Algorithms and Flawed Evaluation MethodologyTPC Technology Conference (TPC), 2023 M. A. Sehili Zonghua Zhang AI4TS 194 6 0 24 Aug 2023
Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion ModelsConference on Uncertainty in Artificial Intelligence (UAI), 2023 Thi Kieu Khanh Ho Narges Armanfard AI4TS 295 1 0 24 Aug 2023
RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous SupervisionInformation Processing & Management (IPM), 2023 Hongzuo Xu Yijie Wang Guansong Pang Songlei Jian Ninghui Liu Yongjun Wang 147 38 0 25 Jul 2023
Precursor-of-Anomaly Detection for Irregular Time SeriesKnowledge Discovery and Data Mining (KDD), 2023 Sheo Yon Jhin Jaehoon Lee Noseong Park AI4TS 139 18 0 27 Jun 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and ProspectsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Yuxuan Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 382 180 0 16 Jun 2023
Graph Anomaly Detection in Time Series: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Thi Kieu Khanh Ho Ali Karami Narges Armanfard AI4TS 512 15 0 31 Jan 2023
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency AnalysisInternational Conference on Information and Knowledge Management (CIKM), 2022 Chaoli Zhang Tian Zhou Qingsong Wen Liang Sun AI4TS 199 106 0 18 Oct 2022
Unsupervised Model Selection for Time-series Anomaly DetectionInternational Conference on Learning Representations (ICLR), 2022 Mononito Goswami Cristian Challu Laurent Callot Lenon Minorics Andrey Kan OOD 300 34 0 03 Oct 2022
Intrinsic Anomaly Detection for Multi-Variate Time Series Stephan Rabanser Tim Januschowski Kashif Rasul Oliver Borchert Richard Kurle Jan Gasthaus Michael Bohlke-Schneider Nicolas Papernot Valentin Flunkert AI4TS 145 4 0 29 Jun 2022
TreeDRNet:A Robust Deep Model for Long Term Time Series Forecasting Tian Zhou Jianqing Zhu Qingsong Wen Ziqing Ma Qingsong Wen Liang Sun Rong Jin AI4TS 144 4 0 24 Jun 2022
Self-Supervised Anomaly Detection in Computer Vision and Beyond: A Survey and OutlookNeural Networks (NN), 2022 H. Hojjati Thi Kieu Khanh Ho Narges Armanfard 181 66 0 10 May 2022
Deep Federated Anomaly Detection for Multivariate Time Series Data Wei Zhu Dongjin Song Yuncong Chen Wei Cheng Bo Zong Takehiko Mizoguchi C. Lumezanu Haifeng Chen Jiebo Luo FedML OOD AI4TS 130 7 0 09 May 2022
Graph similarity learning for change-point detection in dynamic networksMachine-mediated learning (ML), 2022 Déborah Sulem Henry Kenlay Mihai Cucuringu Xiaowen Dong 177 23 0 29 Mar 2022
Diverse Counterfactual Explanations for Anomaly Detection in Time Series Deborah Sulem Michele Donini Muhammad Bilal Zafar François-Xavier Aubet Jan Gasthaus Tim Januschowski Sanjiv Ranjan Das K. Kenthapadi Cédric Archambeau AAML 169 12 0 21 Mar 2022
Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly DetectionInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Cristian Challu Peihong Jiang Ying Nian Wu Laurent Callot BDL AI4TS 144 30 0 15 Feb 2022
Detecting Anomalies within Time Series using Local Neural Transformations Tim Schneider Chen Qiu Matthias Kirchler Decky Aspandi Latif Steffen Staab Stephan Mandt Maja R. Rudolph AI4TS 162 22 0 08 Feb 2022
Little Help Makes a Big Difference: Leveraging Active Learning to Improve Unsupervised Time Series Anomaly Detection Hamza Bodor Thai V. Hoang Zonghua Zhang AI4TS 100 7 0 25 Jan 2022
Online Time Series Anomaly Detection with State Space Gaussian Processes Christian Bock Franccois-Xavier Aubet Jan Gasthaus Andrey Kan Ming Chen Laurent Callot AI4TS 133 9 0 18 Jan 2022
Monte Carlo EM for Deep Time Series Anomaly Detection François-Xavier Aubet Daniel Zügner Jan Gasthaus AI4TS 117 5 0 29 Dec 2021