Sandro Schönborn

Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model

In this work, we propose a VAE-LSTM hybrid model as an unsupervised approach for anomaly detection in time series. Our model utilizes both a VAE module for forming robust local features over short windows and a LSTM module for estimating the long term correlation in the series on top of the features…