Lossy Compression for Robust Unsupervised Time-Series Anomaly Detection

Christopher P. Ley, Jorge F. Silva

A new Lossy Causal Temporal Convolutional Neural Network Autoencoder for anomaly detection is proposed in this work. Our framework uses a rate-distortion loss and an entropy bottle…