TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks

16 September 2020

Alexander Geiger

Dongyu Liu

Sarah Alnegheimish

Alfredo Cuesta-Infante

K. Veeramachaneni

AI4TS

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Papers citing "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"

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Title
M $^2$ 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
Online Model-based Anomaly Detection in Multivariate Time Series: Taxonomy, Survey, Research Challenges and Future Directions Lucas Correia Jan-Christoph Goos Philipp Klein Thomas Bäck Anna V. Kononova AI4TS 54 3 0 07 Aug 2024
Seamless Monitoring of Stress Levels Leveraging a Universal Model for Time Sequences Davide Gabrielli Bardh Prenkaj Paola Velardi 34 0 0 04 Jul 2024
Large language models can be zero-shot anomaly detectors for time series? Sarah Alnegheimish Linh Nguyen Laure Berti-Equille K. Veeramachaneni AI4TS 30 12 0 23 May 2024
Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly Dan Kalifa Uriel Singer Ido Guy Guy D. Rosin Kira Radinsky AI4TS 43 8 0 22 May 2024
Multimodal video analysis for crowd anomaly detection using open access tourism cameras Alejandro Dionis-Ros Joan Vila-Francés R. Magdalena-Benedicto Fernando Mateo Antonio J. Serrano 32 1 0 21 May 2024
An Unsupervised Adversarial Autoencoder for Cyber Attack Detection in Power Distribution Grids Mehdi Jabbari Zideh M. Khalghani S. K. Solanki 27 12 0 31 Mar 2024
Generative Adversarial Network with Soft-Dynamic Time Warping and Parallel Reconstruction for Energy Time Series Anomaly Detection Hardik Prabhu J. Valadi P. Arjunan AI4TS 45 1 0 22 Feb 2024
Profiling and Modeling of Power Characteristics of Leadership-Scale HPC System Workloads A. M. Karimi Naw Safrin Sattar Woong Shin Feiyi Wang 14 3 0 01 Feb 2024
Generative adversarial wavelet neural operator: Application to fault detection and isolation of multivariate time series data Jyoti Rani Tapas Tripura H. Kodamana Souvik Chakraborty 35 5 0 08 Jan 2024
When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection Dongmin Kim S. Park Jaegul Choo AI4TS OOD 19 13 0 19 Dec 2023
Explainable Time Series Anomaly Detection using Masked Latent Generative Modeling Daesoo Lee Sara Malacarne Erlend Aune AI4TS 42 9 0 21 Nov 2023
DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detection Chaocheng Yang Tingyin Wang Xuanhui Yan DiffM 31 7 0 13 Oct 2023
Generative Pre-Training of Time-Series Data for Unsupervised Fault Detection in Semiconductor Manufacturing Sewoong Lee JinKyou Choi Min Su Kim AI4TS 16 0 0 20 Sep 2023
Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art Tanujit Chakraborty Ujjwal Reddy K S Shraddha M. Naik Madhurima Panja B. Manvitha 27 61 0 30 Aug 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
Generative AI for End-to-End Limit Order Book Modelling: A Token-Level Autoregressive Generative Model of Message Flow Using a Deep State Space Network Peer Nagy Sascha Frey Silvia Sapora Kang Li Anisoara Calinescu Stefan Zohren Jakob Foerster 19 16 0 23 Aug 2023
ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN M. A. Bashar R. Nayak AI4TS 44 4 0 13 Aug 2023
A Survey of Time Series Anomaly Detection Methods in the AIOps Domain Zhenyu Zhong Qiliang Fan Jiacheng Zhang Minghua Ma Shenglin Zhang Yongqian Sun Qingwei Lin Yuzhi Zhang Dan Pei AI4TS 26 6 0 01 Aug 2023
ActorLens: Visual Analytics for High-level Actor Identification in MOBA Games Zhihua Jin Gaoping Huang Zixin Chen Shiyi Liu Yang Chao Zhenchuan Yang Quan Li Huamin Qu 16 2 0 19 Jul 2023
Impacts and Risk of Generative AI Technology on Cyber Defense Subash Neupane Ivan A. Fernandez Sudip Mittal Shahram Rahimi 21 17 0 22 Jun 2023
LightESD: Fully-Automated and Lightweight Anomaly Detection Framework for Edge Computing Ronit Das Tie-Mei Luo 14 2 0 20 May 2023
Interpretable Anomaly Detection via Discrete Optimization Simon Lutz Florian Wittbold Simon Dierl Benedikt Böing F. Howar Barbara König Emmanuel Müller Daniel Neider AAML 32 0 0 24 Mar 2023
TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversarial Networks S. Saravanan Tie Luo Mao V. Ngo AI4TS 32 8 0 22 Mar 2023
Deep Anomaly Detection on Tennessee Eastman Process Data Fabian Hartung Billy Joe Franks Tobias Michels Dennis Wagner Philipp Liznerski ... Stephan Mandt Michael Bortz Jakob Burger Hans Hasse Marius Kloft 24 6 0 10 Mar 2023
Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly Detection in Time Series Sondre Sørbø M. Ruocco AI4TS 34 19 0 02 Mar 2023
Satellite Anomaly Detection Using Variance Based Genetic Ensemble of Neural Networks Mohammad Amin Maleki Sadr Yeying Zhu Peng Hu 24 3 0 10 Feb 2023
AER: Auto-Encoder with Regression for Time Series Anomaly Detection Lawrence Wong Dongyu Liu Laure Berti-Equille Sarah Alnegheimish K. Veeramachaneni AI4TS 11 18 0 27 Dec 2022
Lossy Compression for Robust Unsupervised Time-Series Anomaly Detection Christophe Ley Jorge F. Silva OOD CML 19 1 0 05 Dec 2022
An Anomaly Detection Method for Satellites Using Monte Carlo Dropout Mohammad Amin Maleki Sadr Yeying Zhu Peng Hu BDL 24 16 0 27 Nov 2022
Machine Learning Methods for Anomaly Detection in Nuclear Power Plant Power Transformers I. Katser D. Raspopov Vyacheslav O. Kozitsin M. Mezhov 16 1 0 20 Nov 2022
Are we certain it's anomalous? Alessandro Flaborea Bardh Prenkaj Bharti Munjal Marco Aurelio Sterpa Dario Aragona L. Podo Fabio Galasso 24 8 0 16 Nov 2022
DEGAN: Time Series Anomaly Detection using Generative Adversarial Network Discriminators and Density Estimation Yueyang Gu F. Jazizadeh AI4TS 18 0 0 05 Oct 2022
Denoising Architecture for Unsupervised Anomaly Detection in Time-Series Wadie Skaf Tomávs Horváth AI4TS 27 1 0 30 Aug 2022
Network Traffic Anomaly Detection Method Based on Multi scale Residual Feature Xu Duan Yu-Ting Fu Kun Wang 20 1 0 08 May 2022
Identifying Cause-and-Effect Relationships of Manufacturing Errors using Sequence-to-Sequence Learning Jeffrey L. Reimer Yandong Wang Sofiane Laridi Juergen Urdich S. Wilmsmeier Gregory Palmer 13 4 0 05 May 2022
Sintel: A Machine Learning Framework to Extract Insights from Signals Sarah Alnegheimish Dongyu Liu Carles Sala Cladellas Laure Berti-Equille K. Veeramachaneni AI4TS 24 15 0 19 Apr 2022
Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection L. Zancato Alessandro Achille G. Paolini A. Chiuso Stefano Soatto AI4TS 22 1 0 25 Feb 2022
Recurrent Auto-Encoder With Multi-Resolution Ensemble and Predictive Coding for Multivariate Time-Series Anomaly Detection Heejeong Choi Subin Kim Pilsung Kang AI4TS 11 4 0 21 Feb 2022
Detecting Anomalies within Time Series using Local Neural Transformations Tim Schneider Chen Qiu Marius Kloft Decky Aspandi Latif Steffen Staab Stephan Mandt Maja R. Rudolph AI4TS 29 18 0 08 Feb 2022
MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series Dongyu Liu Sarah Alnegheimish Alexandra Zytek K. Veeramachaneni AI4TS 24 20 0 10 Dec 2021
A Survey on Proactive Customer Care: Enabling Science and Steps to Realize it Viswanath Ganapathy Sauptik Dhar Olimpiya Saha Pelin Kurt Garberson Javad Heydari Mohak Shah 19 1 0 11 Oct 2021
Anomaly Detection on IT Operation Series via Online Matrix Profile Shiwei Lan Run-Qing Chen Wanlei Zhao AI4TS 11 2 0 27 Aug 2021
Pastprop-RNN: improved predictions of the future by correcting the past A. M. Baptista Yassine Baghoussi Carlos Soares João Mendes-Moreira Miguel Arantes AI4TS 23 2 0 25 Jun 2021
NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection Liang Xu Liying Zheng Weijun Li Zhenbo Chen Weishun Song Yue Deng Yongzhe Chang Jing Xiao Bo Yuan AI4TS 29 9 0 08 Jan 2021
Decision-Aware Conditional GANs for Time Series Data He Sun Zhun Deng Hui Chen David C. Parkes CML AI4TS 27 17 0 26 Sep 2020