Assured autonomy in safety critical CPS

Assured autonomy in safety critical CPS

The aim of this study is to investigate safety guarantees on variational autoencoder (VAE) outputs. The problem of establishing a safety guarantee on machine learning models is to ensure that the model probabilistically satisfies particular constraints. The model targeted in this study is the β-VAE,...

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Bibliographic Details
Main Author: Prashant, Mohit
Other Authors: Arvind Easwaran
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2021
Subjects:
Engineering::Computer science and engineering::Mathematics of computing::Probability and statistics
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:https://hdl.handle.net/10356/153289

Internet

https://hdl.handle.net/10356/153289

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