Hybrid Classical-Quantum Autoencoder for Anomaly Detection
arxiv.org › abs › 2112Dec 16, 2021 · We propose a Hybrid classical-quantum Autoencoder (HAE) model, which is a synergy of a classical autoencoder (AE) and a parametrized quantum circuit (PQC) that is inserted into its bottleneck. The PQC augments the latent space, on which a standard outlier detection method is applied to search for anomalous data points within a classical dataset. Using this model and applying it to both ...
Xiao Huang - Hong Kong Polytechnic University
www4.comp.polyu.edu.hk › ~xiaohuangYuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou, SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks, CIKM, 2019 Xiao Huang, Jundong Li, Na Zou, Xia Hu, A General Embedding Framework for Heterogeneous Information Learning in Large-Scale Networks, TKDD, 2018 (Slides, Code)