Explainable artificial intelligence (XAI) methods shed light on the predictions of machine
learning algorithms. Several different approaches exist and have already been applied in …

Many efforts have been made for revealing the decision-making process of black-box
learning machines such as deep neural networks, resulting in useful local and global …

Deep Neural Networks (DNNs) excel at learning complex abstractions within their internal
representations. However, the concepts they learn remain opaque, a problem that becomes …

Deep Neural Networks (DNNs) are capable of learning complex and versatile
representations, however, the semantic nature of the learned concepts remains unknown. A …

A crucial aspect of understanding the complex nature of Deep Neural Networks (DNNs) is
the ability to explain learned concepts within their latent representations. While various …

Machine learning has made tremendous strides in the past decades at producing state-of-
the-art results in safety-critical fields such as self-driving vehicles and medicine. Current …