Zhongzhong Yu

Time Series Anomaly Detection with Multiresolution Ensemble Decoding

Recurrent autoencoder is a popular model for time series anomaly detection, in which outliers or abnormal segments are identified by their high reconstruction errors. However, existing recurrent autoencoders can easily suffer from overfitting and error accumulation due to sequential decoding. In thi…