We combine concept-based neural networks with generative, flow-based classifiers into a
novel, intrinsically explainable, exactly invertible approach to supervised learning …

The lack of transparency of Deep Neural Networks continues to be a limitation that severely
undermines their reliability and usage in high-stakes applications. Promising approaches to …

Prototype Learning methods provide an interpretable alternative to black-box deep learning
models. Approaches such as ProtoPNet learn, which part of a test image" look like" known …

As a result of the many recent advancements in artificial intelligence (AI), a significant
interest in the technology has developed from high-stakes decision-makers in industries …