Main Content

Prof. Kristian Kersting, PhD

Research interests

My team and I would like to make computers learn so much about the world, so rapidly and flexibly, as humans. This poses many deep and fascinating scientific problems: How can computers learn with less help from us and data? How can computers reason about and learn with complex data such as graphs and uncertain databases? How can pre-existing knowledge be exploited? How can computers decide autonomously which representation is best for the data at hand? Can learned results be physically plausible or be made understandable by us? How can computers learn together with us in the loop? To this end, my team and I develop novel machine learning and artificial intelligence methods to deal with uncertainty, capture causality, generate behaviour and to combine learning and reasoning.