Prof. Margret Keuper is full Professor for Machine Learning at Mannheim University and head of the Robust Visual Learning Group at MPI Saarbrücken. She is know for repeatably publishing results that generalize broadly.
Prof. Steven Scholte is a neuroscientist and associate professor at the University of Amsterdam, working on visual perception, and developing and testing mechanistical models. This bring a neuroscience point of view on doing controlled experiments for better understanding human and deep-learning models.
Dr. Wieland Brendel is group leader at Max Planck Institute for Intelligent Systems is well known for understanding-based deep learning research.
Organizers
Jan van Gemert] heads the Computer Vision lab at Delft University of Technology, in The Netherlands. He aims at fundamental understand-based deep learning reseach.
Hayley Hung leads the Human-Oriented Machine Intelligence Unit at Delft University of Technology. She has much organizational experience, as *e.g.* program chair of ACM Multimedia.
Marco Loog is professor of machine learning at Radboud University Nijmegen in The Netherlands, broadly interested in the foundations of Machine Learning and Pattern Recognition.
Ana Lucic is an assistant professor at the University of Amsterdam, doing research on Mechanistic Interpretability of AI models, aligning well with the workshop topic.
David Picard is a senior research scientist within Imagine group at École Nationale des Ponts et Chaussées, and is a long-term skeptic of 'bold number type' research.
Hannah Pinson is Assistant Professor of AI at Eindhoven University of Technology, with the research goal of obtaining fundamental insights in deep learning.
