TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data

18 January 2022

Papers citing "TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data"

36 / 36 papers shown

Title
Unsupervised Anomaly Detection for Autonomous Robots via Mahalanobis SVDD with Audio-IMU Fusion Yizhuo Yang Jiulin Zhao Xinhang Xu Kun Cao Shenghai Yuan Lihua Xie 29 0 0 09 May 2025
Lane-Wise Highway Anomaly Detection Mei Qiu William Lorenz Reindl Yaobin Chen Stanley Y. P. Chien Shu Hu 41 0 0 05 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 54 0 0 02 May 2025
FT-MoE: Sustainable-learning Mixture of Experts Model for Fault-Tolerant Computing with Multiple Tasks Wenjing Xiao Wenhao Song Miaojiang Chen Ruikun Luo Min Chen MoE 140 0 0 29 Apr 2025
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
DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection W. Zhang X. Lin Wenjun Yu Guangzhen Yao jingxiang Zhong Y. Li 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
MADLLM: Multivariate Anomaly Detection via Pre-trained LLMs Wei Tao Xiaoyang Qu Kai Lu Jiguang Wan Guokuan Li Jianzong Wang 41 0 0 13 Apr 2025
Can LLMs Understand Time Series Anomalies? Zihao Zhou Rose Yu AI4TS 82 8 0 13 Mar 2025
Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection Keigo Nogami Tamura Hiroto Gouhei Tanaka FedML 80 0 0 17 Feb 2025
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 0 0 18 Nov 2024
Detecting Unsafe Behavior in Neural Network Imitation Policies for Caregiving Robotics Andrii Tytarenko OffRL 44 0 0 29 Jul 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
Improved AutoEncoder with LSTM module and KL divergence Wei Huang Bingyang Zhang Kaituo Zhang Hua Gao Rongchun Wan 20 1 0 30 Apr 2024
Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly Detection H. Jo Seong-Whan Lee 28 2 0 25 Jan 2024
Label-Free Multivariate Time Series Anomaly Detection Qihang Zhou Shibo He Haoyu Liu Jiming Chen Wenchao Meng AI4TS 19 10 0 17 Dec 2023
Single-board Device Individual Authentication based on Hardware Performance and Autoencoder Transformer Models Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Gérome Bovet Gregorio Martínez Pérez 21 1 0 14 Jun 2023
CyPhERS: A Cyber-Physical Event Reasoning System providing real-time situational awareness for attack and fault response Nils Müller Kaibin Bao Jörg Matthes K. Heussen 33 5 0 26 May 2023
Diagnostic Spatio-temporal Transformer with Faithful Encoding Jokin Labaien T. Idé Pin-Yu Chen E. Zugasti Xabier De Carlos 56 2 0 26 May 2023
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks Yanshen Sun Kaiqun Fu Chang-Tien Lu AI4TS AI4CE 32 2 0 21 Mar 2023
TinyAD: Memory-efficient anomaly detection for time series data in Industrial IoT Yuting Sun Tong Chen Quoc Viet Hung Nguyen Hongzhi Yin 21 12 0 07 Mar 2023
Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly Detection in Time Series Sondre Sørbø M. Ruocco AI4TS 32 19 0 02 Mar 2023
DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data Ling Yu AI4TS 26 27 0 17 Feb 2023
Weakly Supervised Anomaly Detection: A Survey Minqi Jiang Chaochuan Hou Ao Zheng Xiyang Hu Songqiao Han Hailiang Huang Xiangnan He Philip S. Yu Yue Zhao 25 30 0 09 Feb 2023
Graph Anomaly Detection in Time Series: A Survey Thi Kieu Khanh Ho Ali Karami Narges Armanfard AI4TS 24 5 0 31 Jan 2023
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 AI4TS 29 8 0 19 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
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis Chaoli Zhang Tian Zhou Qingsong Wen Liang Sun AI4TS 32 66 0 18 Oct 2022
Detecting Multivariate Time Series Anomalies with Zero Known Label Qihang Zhou Jiming Chen Haoyu Liu Shibo He Wenchao Meng AI4TS 32 22 0 03 Aug 2022
Robust Learning of Deep Time Series Anomaly Detection Models with Contaminated Training Data Wenkai Li Cheng Feng Tingling Chen Jun Zhu AAML AI4TS 23 6 0 03 Aug 2022
AI Augmented Edge and Fog Computing: Trends and Challenges Shreshth Tuli Fatemeh Mirhakimi Samodha Pallewatta Syed Zawad G. Casale B. Javadi Feng Yan Rajkumar Buyya N. Jennings 19 56 0 01 Aug 2022
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection Hongzuo Xu Yijie Wang Songlei Jian Qing Liao Yongjun Wang Guansong Pang AI4TS 21 40 0 25 Jul 2022
Multi-task Driver Steering Behaviour Modeling Using Time-Series Transformer Yang Xing Wenbo Li Xiaoyu Mo Chen Lv 18 2 0 01 Jul 2022
LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via Latent Predictive Coding Zhi Qi Hong Xie Ye Li Jian Tan Feifei Li John C. S. Lui AI4TS 11 1 0 05 May 2022
PreGAN: Preemptive Migration Prediction Network for Proactive Fault-Tolerant Edge Computing Shreshth Tuli G. Casale N. Jennings 27 38 0 04 Dec 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,681 0 09 Mar 2017