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Anomaly Detection For Time Series Using Vae-Lstm Hybrid Model

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IEEE ICASSP 2020 Virtual Conference May 2020

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 cor

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Anomaly Detection For Time Series Using Vae-Lstm Hybrid Model

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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 cor