Funded Emmy Noether Independent Junior Research Groups in the Field of Artificial Intelligence Methods

Funded projects on Artificial Intelligence

"Harmonic Artificial Intelligence based on Linear Operators"
Dr. Felix Dietrich
"Robust Computer Vision through Neural Analysis-by-Synthesis with 3D-aware Compositional Network Architectures"
Dr. Adam Kortylewski
"Graph Embeddings: Theory meets Practice"
Dr. Christopher Morris
"Trustworthy Reinforcement Learning for Multi-Agent Systems: Foundations of Robust and Accountable Decision Making"
Dr. Goran Radanovic
"Efficient Learning for Transferable Robot Autonomy in Human-Centered Environments"
Prof. Dr. Abhinav Valada
"Foundations of Lifelong Reinforcement Learning"
Dr. Claire Vernade

„Eidetic Representations of Natural Language“
Prof. Dr.-Ing. Alan Akbik
„Resource-Efficient Bayesian Machine Learning“
Prof. Dr. Robert Bamler
„Strong response consistency for more robust, disentangled and generalizable machine vision“
Dr. Wieland Brendel
„Robot Learning of Mobile Manipulation for Intelligent Assistance“
Prof. Georgia Chalvatzaki Ph.D.
„Motion Coordination for Heterogeneous Aerial Swarms in Congested Environments“
Wolfgang Hönig Ph.D.
„Intuitive Robot Intelligence: Efficiently Learning and Improving of Explainable Skills and Behaviors for Intuitive Human-Robot Interaction.“
Dr.-Ing. Rudolf Lioutikov
„Decision-making under uncertainty: including prior knowledge from physics“
Dr. Michael Mühlebach
„Approximation Algorithms for Geometric Data Analysis and Their Practicability“
Prof. Dr. Melanie Schmidt
“Stability and Solvability in Deep Learning”
Prof. Dr. Felix Voigtlaender