Efficient out-of-distribution detection using latent space of β-VAE for cyber-physical systems

Efficient out-of-distribution detection using latent space of β-VAE for cyber-physical systems

Deep Neural Networks are actively being used in the design of autonomous Cyber-Physical Systems (CPSs). The advantage of these models is their ability to handle high-dimensional state-space and learn compact surrogate representations of the operational state spaces. However, the problem is that the...

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書目詳細資料
Main Authors:	Ramakrishna, Shreyas, Rahiminasab, Zahra, Karsai, Gabor, Easwaran, Arvind
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2022
主題:	Engineering::Computer science and engineering Deep Neural Networks Mutual Information Gap
在線閱讀:	https://hdl.handle.net/10356/163574
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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