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2110.02642
Cited By
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
6 October 2021
Jiehui Xu
Haixu Wu
Jianmin Wang
Mingsheng Long
AI4TS
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Papers citing
"Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy"
50 / 54 papers shown
Title
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking
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56
0
0
04 May 2025
FreCT: Frequency-augmented Convolutional Transformer for Robust Time Series Anomaly Detection
Wenxin Zhang
Ding Xu
Guangzhen Yao
Xiaojian Lin
Renxiang Guan
Chengze Du
Renda Han
Xi Xuan
Cuicui Luo
AI4TS
61
0
0
02 May 2025
CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series
Tian-Shing Lan
Yifei Gao
Yimeng Lu
Chen Zhang
56
0
0
01 May 2025
Generalised Label-free Artefact Cleaning for Real-time Medical Pulsatile Time Series
Xuhang Chen
Ihsane Olakorede
Stefan Yu Bögli
Wenhao Xu
Erta Beqiri
...
Chenyu Tang
Zeyu Gao
Shuo Gao
A. Ercole
P. Smielewski
OOD
59
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0
29 Apr 2025
M
2
^2
2
AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding
Sarah Alnegheimish
Zelin He
Matthew Reimherr
Akash Chandrayan
Abhinav Pradhan
Luca DÁngelo
37
0
0
21 Apr 2025
DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection
Feiyu Xiong
X. Lin
Wenjun Yu
Guangzhen Yao
jingxiang Zhong
Heng Chang
Renda Han
Songcheng Xu
Hao Shi
Cuicui Luo
AI4TS
31
0
0
19 Apr 2025
Decomposition-based multi-scale transformer framework for time series anomaly detection
Wenxin Zhang
Cuicui Luo
AI4TS
25
0
0
19 Apr 2025
Pets: General Pattern Assisted Architecture For Time Series Analysis
Xiangkai Ma
Xiaobin Hong
Wenzhong Li
Sanglu Lu
AI4TS
32
0
0
19 Apr 2025
Integrating Quantum-Classical Attention in Patch Transformers for Enhanced Time Series Forecasting
Sanjay Chakraborty
Fredrik Heintz
AI4TS
AIFin
52
0
0
31 Mar 2025
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models
Nguyen H K. Do
Truc Nguyen
Malik Hassanaly
Raed Alharbi
Jung Taek Seo
My T. Thai
54
0
0
09 Mar 2025
DINAMO: Dynamic and INterpretable Anomaly MOnitoring for Large-Scale Particle Physics Experiments
Arsenii Gavrikov
Julián García Pardiñas
Alberto Garfagnini
62
0
0
31 Jan 2025
GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection
Qingxiang Liu
Chenghao Liu
Sheng Sun
Di Yao
Keli Zhang
AI4TS
62
0
0
30 Jan 2025
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality
Zehao Liu
Mengzhou Gao
Pengfei Jiao
CML
AI4TS
47
1
0
23 Jan 2025
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels
Yaxuan Wang
Hao Cheng
Jing Xiong
Qingsong Wen
Han Jia
Ruixuan Song
Li Zhang
Zhaowei Zhu
Yang Liu
AI4TS
58
1
0
21 Jan 2025
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
Sabera Talukder
Yisong Yue
Georgia Gkioxari
AI4TS
48
12
0
03 Jan 2025
Dual Conditioned Motion Diffusion for Pose-Based Video Anomaly Detection
Andi Xu
Hongsong Wang
Pinle Ding
Jie Gui
DiffM
VGen
42
0
0
23 Dec 2024
TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection
Mengxuan Li
Ke Liu
Hongyang Chen
Jiajun Bu
Hongwei Wang
Haishuai Wang
AI4TS
96
1
0
18 Nov 2024
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
Shiyu Wang
Jiawei Li
Xiaoming Shi
Zhou Ye
Baichuan Mo
Wenze Lin
Shengtong Ju
Zhixuan Chu
Ming Jin
AI4TS
46
11
0
21 Oct 2024
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching
Xingjian Wu
Xiangfei Qiu
Zhengyu Li
Yihang Wang
Jilin Hu
Chenjuan Guo
Hui Xiong
Bin Yang
AI4TS
61
12
0
16 Oct 2024
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning
Eric Li
Yifan Zhang
Yu Huang
Kevin Leach
34
0
0
20 Sep 2024
Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization
Sakhinana Sagar Srinivas
Rajat Kumar Sarkar
Venkataramana Runkana
AI4TS
32
2
0
21 Aug 2024
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
Junru Chen
Tianyu Cao
Ninon De Mecquenem
Jiahe Li
Zhilong Chen
F. Friederici
Yang Yang
46
1
0
31 Jul 2024
Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning
Jihyeon Seong
Sekwang Oh
Jaesik Choi
AI4TS
47
0
0
06 Jun 2024
Scalable Numerical Embeddings for Multivariate Time Series: Enhancing Healthcare Data Representation Learning
Chun-Kai Huang
Yi-Hsien Hsieh
Ta-Jung Chien
Li-Cheng Chien
Shao-Hua Sun
T. Su
J. Kao
Che Lin
AI4TS
45
0
0
26 May 2024
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders
Qichao Shentu
Beibu Li
Kai Zhao
Yang Shu
Zhongwen Rao
Lujia Pan
Bin Yang
Chenjuan Guo
AI4TS
53
5
0
24 May 2024
Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods
Wenzhen Yue
Xianghua Ying
Ruohao Guo
DongDong Chen
Ji Shi
Bowei Xing
Yuqing Zhu
Taiyan Chen
AI4TS
34
3
0
27 Apr 2024
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
Zahra Zamanzadeh Darban
Yiyuan Yang
Geoffrey I. Webb
Charu C. Aggarwal
Qingsong Wen
Shirui Pan
Mahsa Salehi
60
0
0
17 Apr 2024
A Comparison of Deep Learning Architectures for Spacecraft Anomaly Detection
Daniel Lakey
Tim Schlippe
35
2
0
19 Mar 2024
UNITS: A Unified Multi-Task Time Series Model
Shanghua Gao
Teddy Koker
Owen Queen
Thomas Hartvigsen
Theodoros Tsiligkaridis
Marinka Zitnik
AI4TS
38
17
0
29 Feb 2024
Timer: Generative Pre-trained Transformers Are Large Time Series Models
Yong Liu
Haoran Zhang
Chenyu Li
Xiangdong Huang
Jianmin Wang
Mingsheng Long
AIFin
AI4TS
AI4CE
42
50
0
04 Feb 2024
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection
Zhijie Zhong
Zhiwen Yu
Yiyuan Yang
Weizheng Wang
Kaixiang Yang
36
6
0
18 Jan 2024
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks
Haowen Hou
F. Richard Yu
AI4TS
35
20
0
17 Jan 2024
Label-Free Multivariate Time Series Anomaly Detection
Qihang Zhou
Shibo He
Haoyu Liu
Jiming Chen
Wenchao Meng
AI4TS
24
10
0
17 Dec 2023
Pyramidal Hidden Markov Model For Multivariate Time Series Forecasting
YeXin Huang
AI4TS
30
0
0
22 Oct 2023
MadSGM: Multivariate Anomaly Detection with Score-based Generative Models
Haksoo Lim
Sewon Park
Minjung Kim
Jaehoon Lee
S. Lim
Noseong Park
37
3
0
29 Aug 2023
LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters
Ching Chang
Wei-Yao Wang
Wenjie Peng
Tien-Fu Chen
AI4TS
38
46
0
16 Aug 2023
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions
Peng Yan
Ahmed Abdulkadir
Paul-Philipp Luley
Matthias Rosenthal
Gerrit A. Schatte
Benjamin Grewe
Thilo Stadelmann
AI4TS
36
58
0
11 Jul 2023
Diagnostic Spatio-temporal Transformer with Faithful Encoding
Jokin Labaien
T. Idé
Pin-Yu Chen
E. Zugasti
Xabier De Carlos
59
2
0
26 May 2023
Evaluation Strategy of Time-series Anomaly Detection with Decay Function
Yongwan Gim
Kyushik Min
24
0
0
15 May 2023
DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data
Ling Yu
AI4TS
28
27
0
17 Feb 2023
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
Jiaxiang Dong
Haixu Wu
Haoran Zhang
Li Zhang
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Mingsheng Long
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31
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0
02 Feb 2023
BSSAD: Towards A Novel Bayesian State-Space Approach for Anomaly Detection in Multivariate Time Series
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Samuel Lin
J. Zhan
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8
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30 Jan 2023
Semi-Structured Object Sequence Encoders
V. Rudramurthy
Riyaz Ahmad Bhat
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Siva Sankalp Patel
H. Wan
Tejas I. Dhamecha
Danish Contractor
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61
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A Novel Self-Supervised Learning-Based Anomaly Node Detection Method Based on an Autoencoder in Wireless Sensor Networks
Miao Ye
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Xingsi Xue
Yong Wang
Qiuxiang Jiang
Hongbing Qiu
13
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0
26 Dec 2022
FedTADBench: Federated Time-Series Anomaly Detection Benchmark
Fanxing Liu
Cheng Zeng
Le Zhang
Yingjie Zhou
Qing Mu
Yanru Zhang
Ling Zhang
Ce Zhu
OOD
FedML
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31
8
0
19 Dec 2022
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis
Chaoli Zhang
Tian Zhou
Qingsong Wen
Liang Sun
AI4TS
32
66
0
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TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
Haixu Wu
Teng Hu
Yong Liu
Hang Zhou
Jianmin Wang
Mingsheng Long
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AIFin
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0
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Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection
Neelu Madan
Nicolae-Cătălin Ristea
Radu Tudor Ionescu
Kamal Nasrollahi
Fahad Shahbaz Khan
T. Moeslund
M. Shah
ViT
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261
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Detecting Multivariate Time Series Anomalies with Zero Known Label
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Jiming Chen
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Shibo He
Wenchao Meng
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32
22
0
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Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection
Hongzuo Xu
Yijie Wang
Songlei Jian
Qing Liao
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Guansong Pang
AI4TS
21
40
0
25 Jul 2022
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