Inferring and Comparing the Concept Spaces of Humans and Neural Networks
One fundamental goal of cognitive science is to understand how humans mentally represent concepts.
The lecture will be followed by a discussion.
Dr. Robert A. Vandermeulen received his PhD in Electrical Engineering from the University of Michigan in 2016. He was a postdoctoral researcher under Prof. Dr. Marius Kloft at Technical University Kaiserslautern from 2017 to 2020 and is currently a senior researcher at the Berlin Institute for the Foundations of Learning and Data (BIFOLD). Dr. Vandermeulen’s work spans many topics, however his most prominent work concerns deep anomaly detection where his work on deep one-class classification was awarded the SIGKDD Workshop on Anomaly and Novelty Detection, Explanation and Accommodation Test of Time Award.
20.04.2023, 16.15, Posluchárna KN - 107, ČVUT FEL, Karlovo náměstí 13, Praha 2