49 citations · 50 across the 3 of their papers we have counts for
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cs.LG2023
Interpretable Anomaly Detection in Cellular Networks by Learning Concepts in Variational Autoencoders
Amandeep Singh, Michael Weber, Markus Lange-Hegermann
This paper addresses the challenges of detecting anomalies in cellular networks in an interpretable way and proposes a new approach using variational autoencoders (VAEs) that learn…
cs.LG2021★ 49 cited
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
Sebastian Houben, Stephanie Abrecht, Maram Akila +38
The use of deep neural networks (DNNs) in safety-critical applications like mobile health and autonomous driving is challenging due to numerous model-inherent shortcomings. These s…