Matthias Wilms

Explainable Mixture Models through Differentiable Rule Learning

Mixture models excel at decomposing complex, multi-modal distributions into simpler probabilistic components, but provide no insight into the conditions under which these components arise. We introduce explainable mixture models (EMM), a framework that pairs each mixture component with a human-inter…