NEUROEXPLICIT MODELS OF LANGUAGE, VISION, AND ACTION

We develop novel models that combine neural and human-interpretable  ("explicit") components to accurately solve tasks in natural language processing, computer vision, and action-decision making. These include neurosymbolic models, which combine neural and symbolic elements.

We are a Research Training Group: A team of up to 24 PhD students under the supervision of 13 internationally renowned professors. Each student is funded for four years and will freely choose their research topic within the wide scope of the RTG. Students participate in a qualification program designed to build a tight-knit group that can collaborate across research fields and together explore the deeper principles of effective neuroexplicit models.