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cs.LG2026
Improving Variational Autoencoder using Random Fourier Transformation: An Aviation Safety Anomaly Detection Case-Study
Ata Akbari Asanjan, Milad Memarzadeh, Bryan Matthews +1
In this study, we focus on the training process and inference improvements of deep neural networks (DNNs), specifically Autoencoders (AEs) and Variational Autoencoders (VAEs), usin…
cs.LG2023
Anomaly Detection in Aeronautics Data with Quantum-compatible Discrete Deep Generative Model
Thomas Templin, Milad Memarzadeh, Walter Vinci +4
Deep generative learning cannot only be used for generating new data with statistical characteristics derived from input data but also for anomaly detection, by separating nominal…