Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

Reference

Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy, Jiehui Xu, Haixu Wu, Jianmin Wang, Mingsheng Long. (2022)

Publication

Abstract

Unsupervised detection of anomaly points in time series is a challenging problem, which requires the model to derive a distinguishable criterion. Previous methods tackle the problem mainly through...

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Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

A new minimax optimization scheme to learn complex and long range associations between the points in a time series. Associations are used …

Anomaly Detection

Jun 26, 2022

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