7 citations · 22 across the 9 of their papers we have counts for
4 papers · 1 filter
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.…
Fast Kernel Density Estimation with Density Matrices and Random Fourier Features
Joseph A. Gallego, Juan F. Osorio, Fabio A. González
Kernel density estimation (KDE) is one of the most widely used nonparametric density estimation methods. The fact that it is a memory-based method, i.e., it uses the entire trainin…
Quantum Adaptive Fourier Features for Neural Density Estimation
Joseph A. Gallego, Fabio A. González
Density estimation is a fundamental task in statistics and machine learning applications. Kernel density estimation is a powerful tool for non-parametric density estimation in low…