Funded Emmy Noether Independent Junior Research Groups in the Field of Artificial Intelligence Methods
2020/2021:
Funded projects in alphabetical order according to name of grantee:
- "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
2019/2020:
Funded projects in alphabetical order according to name of grantee:
- „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
Funded projects on Artificial Intelligence