1 citations · 2 across the 4 of their papers we have counts for
4 papers
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…
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…
Multi-scale Digital Twin: Developing a fast and physics-informed surrogate model for groundwater contamination with uncertain climate models
Lijing Wang, Takuya Kurihana, Aurelien Meray +6
Soil and groundwater contamination is a pervasive problem at thousands of locations across the world. Contaminated sites often require decades to remediate or to monitor natural at…
Resolving the measurement uncertainty paradox in ecological management
Milad Memarzadeh, Carl Boettiger
Ecological management and decision-making typically focus on uncertainty about the future, but surprisingly little is known about how to account for uncertainty of the present: tha…