6 citations · 10 across the 5 of their papers we have counts for
4 papers · 1 filter
Latent Anomaly Detection Through Density Matrices
Joseph Gallego-Mejia, Oscar Bustos-Brinez, Fabio A. González
This paper introduces a novel anomaly detection framework that combines the robust statistical principles of density-estimation-based anomaly detection methods with the representat…
LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection
Joseph Gallego-Mejia, Oscar Bustos-Brinez, Fabio A. González
This paper presents an anomaly detection model that combines the strong statistical foundation of density-estimation-based anomaly detection methods with the representation-learnin…
AD-DMKDE: Anomaly Detection through Density Matrices and Fourier Features
Oscar Bustos-Brinez, Joseph Gallego-Mejia, Fabio A. González
This paper presents a novel density estimation method for anomaly detection using density matrices (a powerful mathematical formalism from quantum mechanics) and Fourier features.…
InQMAD: Incremental Quantum Measurement Anomaly Detection
Joseph Gallego-Mejia, Oscar Bustos-Brinez, Fabio Gonzalez
Streaming anomaly detection refers to the problem of detecting anomalous data samples in streams of data. This problem poses challenges that classical and deep anomaly detection me…