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02/25/2022
Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection
Despite numerous studies of deep autoencoders (AEs) for unsupervised ano...
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02/25/2022
Do autoencoders need a bottleneck for anomaly detection?
A common belief in designing deep autoencoders (AEs), a type of unsuperv...
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10/19/2021
Coalitional Bayesian Autoencoders – Towards explainable unsupervised deep learning
This paper aims to improve the explainability of Autoencoder's (AE) pred...
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07/28/2021
Bayesian Autoencoders: Analysing and Fixing the Bernoulli likelihood for Out-of-Distribution Detection
After an autoencoder (AE) has learnt to reconstruct one dataset, it migh...
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07/28/2021
Multi Agent System for Machine Learning Under Uncertainty in Cyber Physical Manufacturing System
Recent advancements in predictive machine learning has led to its applic...
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07/28/2021