Anomaly Detection Reading Group: Gaussian Mixture Models

Speaker: Andrei Pătrașcu (University of Bucharest)

Abstract: We continue our adventure by investigating existing results using Gaussian Mixture Models (GMM) for anomaly detection and their adaptation to existing deep neural networks.

Required reading:

Zong, Bo, et al. “Deep autoencoding gaussian mixture model for unsupervised anomaly detection.” (2018).

Chapter 11 from Deisenroth, Marc Peter, A. Aldo Faisal, and Cheng Soon Ong. “Mathematics for Machine Learning.” (2018).