2023
Efficient Non-parametric Neural Density Estimation and Its Application to Outlier and Anomaly Detection
AAAI 2023technical
The main goal of this thesis is to develop efficient non-parametric density estimation methods that can be integrated with deep learning architectures, for instance, convolutional neural networks and transformers. Density estimation methods can be applied to different problems in statistics and mach…