Counterfactuals can explain classification decisions of neural networks in a human
interpretable way. We propose a simple but effective method to generate such …

Normalizing flows are diffeomorphisms which are parameterized by neural networks. As a
result, they can induce coordinate transformations in the tangent space of the data manifold …

Deep learning-based regression and classification models are used in most subareas of
neuroimaging because of their accuracy and flexibility. While such models achieve state-of …

In the past decade, artificial neural networks have seen unprecedented gains in capabilities
and applications. With their increased popularity, the need for a more detailed …