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KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks

1 November 2024

Papers citing "KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks"

23 / 23 papers shown

Title
Exploring Adversarial Transferability between Kolmogorov-arnold Networks Songping Wang Xinquan Yue Yueming Lyu Caifeng Shan AAML 138 2 0 08 Mar 2025
Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Yihang Gao Michael K. Ng Vincent Y. F. Tan 260 0 0 17 Feb 2025
MatrixKAN: Parallelized Kolmogorov-Arnold Network Cale Coffman Lizhong Chen 120 1 0 11 Feb 2025
KAN 2.0: Kolmogorov-Arnold Networks Meet Science Ziming Liu Pingchuan Ma Yixuan Wang Wojciech Matusik Max Tegmark 134 76 0 19 Aug 2024
KAN or MLP: A Fairer Comparison Runpeng Yu Weihao Yu Xinchao Wang 133 58 0 23 Jul 2024
A Comprehensive Survey on Kolmogorov Arnold Networks (KAN) Yuntian Hou Di zhang AI4CE 146 33 0 13 Jul 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 100 36 0 05 Feb 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 126 10 0 19 Nov 2023
FITS: Modeling Time Series with $10k$ Parameters Zhijian Xu Ailing Zeng Qiang Xu AI4TS 107 105 0 06 Jul 2023
One Fits All:Power General Time Series Analysis by Pretrained LM Tian Zhou Peisong Niu Xue Wang Liang Sun Rong Jin AI4TS 206 446 0 23 Feb 2023
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis Haixu Wu Teng Hu Yong Liu Hang Zhou Jianmin Wang Mingsheng Long AI4TS AIFin 160 854 0 05 Oct 2022
Local Evaluation of Time Series Anomaly Detection Algorithms Alexis Huet J. M. Navarro Dario Rossi AI4TS 101 72 0 27 Jun 2022
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy Jiehui Xu Haixu Wu Jianmin Wang Mingsheng Long AI4TS 166 516 0 06 Oct 2021
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress R. Wu Eamonn J. Keogh AI4TS 103 203 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 93 509 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 94 789 0 15 Jan 2019
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding K. Hundman V. Constantinou Christopher Laporte Ian Colwell T. Söderström AI4TS 197 1,279 0 13 Feb 2018
Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications Haowen Xu Wenxiao Chen Nengwen Zhao Zeyan Li Jiahao Bu ... Dan Pei Yang Feng Jie Chen Zhaogang Wang Honglin Qiao MLAU 118 826 0 12 Feb 2018
LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection Pankaj Malhotra Anusha Ramakrishnan G. Anand Lovekesh Vig Puneet Agarwal Gautam M. Shroff AI4TS 201 964 0 01 Jul 2016
Gaussian Error Linear Units (GELUs) Dan Hendrycks Kevin Gimpel 223 5,079 0 27 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.9K 195,462 0 10 Dec 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 1.1K 43,429 0 11 Feb 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 668 43,820 0 17 Sep 2014