most citedWeakly Augmented Variational Autoencoder in Time Series Anomaly Detection

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.LG2024★ 2 cited

Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection

Zhangkai Wu, Longbing Cao, Qi Zhang +2

Due to their unsupervised training and uncertainty estimation, deep Variational Autoencoders (VAEs) have become powerful tools for reconstruction-based Time Series Anomaly Detectio…