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Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders
24 May 2024
Qichao Shentu
Beibu Li
Kai Zhao
Yang Shu
Zhongwen Rao
Lujia Pan
Bin Yang
Chenjuan Guo
AI4TS
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Papers citing
"Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders"
36 / 36 papers shown
Title
Data Driven Decision Making with Time Series and Spatio-temporal Data
Bin Yang
Yuxuan Liang
Chenjuan Guo
Christian S. Jensen
AI4TS
329
1
0
11 Mar 2025
EasyTime: Time Series Forecasting Made Easy
Xiangfei Qiu
Xiuwen Li
Ruiyang Pang
Zhicheng Pan
Xiaojun Wu
...
Chengcheng Yang
Chenjuan Guo
Aoying Zhou
Christian S. Jensen
Bin Yang
AI4TS
89
16
0
23 Dec 2024
MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast
Shiyan Hu
Kai Zhao
Xiangfei Qiu
Yang Shu
Jilin Hu
Bin Yang
Chenjuan Guo
AI4TS
85
7
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
114
16
0
16 Oct 2024
ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning
Yihang Wang
Yuying Qiu
Peng Chen
Kai Zhao
Yang Shu
Zhongwen Rao
Lujia Pan
Bin Yang
Chenjuan Guo
AI4TS
AI4CE
83
11
0
24 May 2024
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
Xiangfei Qiu
Jilin Hu
Lekui Zhou
Xingjian Wu
Junyang Du
...
Chenjuan Guo
Aoying Zhou
Christian S. Jensen
Zhenli Sheng
Bin Yang
AI4TS
96
79
0
29 Mar 2024
MOMENT: A Family of Open Time-series Foundation Models
Mononito Goswami
Konrad Szafer
Arjun Choudhry
Yifu Cai
Shuo Li
Artur Dubrawski
AIFin
AI4TS
97
147
0
06 Feb 2024
Unified Training of Universal Time Series Forecasting Transformers
Gerald Woo
Chenghao Liu
Akshat Kumar
Caiming Xiong
Silvio Savarese
Doyen Sahoo
AI4TS
159
195
0
04 Feb 2024
MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection
Junho Song
Keonwoo Kim
Jeonglyul Oh
Sungzoon Cho
AI4TS
65
31
0
05 Dec 2023
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting
Samuel Dooley
Gurnoor Singh Khurana
Chirag Mohapatra
Siddartha Naidu
Colin White
AI4TS
122
66
0
03 Nov 2023
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting
Xu Liu
Junfeng Hu
Yuan N. Li
Shizhe Diao
Yuxuan Liang
Bryan Hooi
Roger Zimmermann
AI4TS
80
86
0
15 Oct 2023
Large Language Models Are Zero-Shot Time Series Forecasters
Nate Gruver
Marc Finzi
Shikai Qiu
Andrew Gordon Wilson
AI4TS
87
366
0
11 Oct 2023
TimeGPT-1
Azul Garza
Cristian Challu
Max Mergenthaler-Canseco
AI4TS
71
114
0
05 Oct 2023
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection
Yiyuan Yang
Chaoli Zhang
Tian Zhou
Qingsong Wen
Liang Sun
AI4TS
152
128
0
17 Jun 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
Kexin Zhang
Qingsong Wen
Chaoli Zhang
Rongyao Cai
Ming Jin
...
James Y. Zhang
Yuxuan Liang
Guansong Pang
Dongjin Song
Shirui Pan
AI4TS
168
112
0
16 Jun 2023
How Does Information Bottleneck Help Deep Learning?
Kenji Kawaguchi
Zhun Deng
Xu Ji
Jiaoyang Huang
63
59
0
30 May 2023
Time Series Contrastive Learning with Information-Aware Augmentations
Dongsheng Luo
Wei Cheng
Yingheng Wang
Dongkuan Xu
Jingchao Ni
...
Xuchao Zhang
Yanchi Liu
Yuncong Chen
Haifeng Chen
Xiang Zhang
AI4TS
44
59
0
21 Mar 2023
One Fits All:Power General Time Series Analysis by Pretrained LM
Tian Zhou
Peisong Niu
Xue Wang
Liang Sun
Rong Jin
AI4TS
88
426
0
23 Feb 2023
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
Jiaxiang Dong
Haixu Wu
Haoran Zhang
Li Zhang
Jianmin Wang
Mingsheng Long
AI4TS
107
93
0
02 Feb 2023
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
Yuqi Nie
Nam H. Nguyen
Phanwadee Sinthong
Jayant Kalagnanam
AIFin
AI4TS
87
1,368
0
27 Nov 2022
A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis
Yan Zhao
Liwei Deng
Xuanhao Chen
Chenjuan Guo
B. Yang
Tung Kieu
Feiteng Huang
T. Pedersen
Kai Zheng
Christian S. Jensen
AI4TS
81
10
0
10 Sep 2022
Local Evaluation of Time Series Anomaly Detection Algorithms
Alexis Huet
J. M. Navarro
Dario Rossi
AI4TS
78
69
0
27 Jun 2022
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles -- Extended Version
David Campos
Tung Kieu
Chenjuan Guo
Feiteng Huang
Kai Zheng
B. Yang
Christian S. Jensen
AI4TS
53
53
0
22 Nov 2021
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
Jiehui Xu
Haixu Wu
Jianmin Wang
Mingsheng Long
AI4TS
77
499
0
06 Oct 2021
TS2Vec: Towards Universal Representation of Time Series
Zhihan Yue
Yujing Wang
Juanyong Duan
Tianmeng Yang
Congrui Huang
Yu Tong
Bixiong Xu
AI4TS
76
570
0
19 Jun 2021
Monash Time Series Forecasting Archive
Rakshitha Godahewa
Christoph Bergmeir
Geoffrey I. Webb
Rob J. Hyndman
Pablo Montero-Manso
AI4TS
65
160
0
14 May 2021
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT
Zekai Chen
Dingshuo Chen
Xiao Zhang
Zixuan Yuan
Xiuzhen Cheng
AI4TS
60
348
0
08 Apr 2021
Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series
Vincent Jacob
Fei Song
Arnaud Stiegler
Bijan Rad
Y. Diao
Nesime Tatbul
AI4TS
55
68
0
10 Oct 2020
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress
R. Wu
Eamonn J. Keogh
AI4TS
61
203
0
29 Sep 2020
Time-Series Anomaly Detection Service at Microsoft
Hansheng Ren
Bixiong Xu
Yujing Wang
Chao Yi
Congrui Huang
Xiaoyu Kou
Tony Xing
Mao Yang
Jie Tong
Qi Zhang
AI4TS
56
502
0
10 Jun 2019
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks
Dan Li
Dacheng Chen
Lei Shi
Baihong Jin
Jonathan Goh
See-Kiong Ng
77
774
0
15 Jan 2019
Deep Learning for Anomaly Detection: A Survey
Raghavendra Chalapathy
Sanjay Chawla
AI4TS
154
1,493
0
10 Jan 2019
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding
K. Hundman
V. Constantinou
Christopher Laporte
Ian Colwell
T. Söderström
AI4TS
117
1,248
0
13 Feb 2018
A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-based Variational Autoencoder
Daehyung Park
Yuuna Hoshi
Charles C. Kemp
DRL
73
747
0
02 Nov 2017
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Noam M. Shazeer
Azalia Mirhoseini
Krzysztof Maziarz
Andy Davis
Quoc V. Le
Geoffrey E. Hinton
J. Dean
MoE
251
2,653
0
23 Jan 2017
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
233
6,030
0
26 Sep 2014
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