2025/2026:

Call 3: Information for Researchers No. 27 | 25 March 2025(interner Link)

Funded projects in alphabetical order according to name of grantee:

• "ACTIVUS: Representations and Foundation Models for Actionable Visual Understanding" - Nikita Araslanov
• "From Mediocre to Masterful Generalists: The Power of Context in RL" - André Biedenkapp
• "Causality and representation learning for interventional foundation models" - Simon Buchholz
• "AI unlocks the Higgs boson’s potential" - Nicole Hartman
• "Flow-based Generative Models and Optimal Transport for Sampling and Inverse Problems" - Johannes Hertrich
• "Neuro-Symbolic Methods in Sequential Decision Making" - Daniel Höller
• "Enhancing Network Efficiency through Combined Weight Space Learning and Architecture Search" - Jovita Lukasik
• "Sense of control in natural and artificial intelligence" - Alireza Modirshanechi
• "Making AI Understand Structure: Improving Vision (Language) Models through Graphs, Topology, and Human-Aligned Design" - Johannes C. Paetzold
• "AI Methods for Measuring and Mitigating Political Bias in AI Systems" - Paul Röttger
• "Earth Embeddings: Implicit Neural Representations across Geospatial Data Modalities" - Marc Rußwurm
• "RMT4DL: Random Matrix Theory for Deep Learning" - Mariia Seleznova
• "Verification for Learning and Learning for Verification" - Chelsea Rose Sidrane
• "Scalable Automated Reasoning" - Dominik Schreiber
• "Multimodal representation learning for generalizable patient embeddings" - Sophia Wagner

2020/2021:

Call 2: Information for Researchers No. 83 | 17 November 2020(interner Link)

Funded projects in alphabetical order according to name of grantee:

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

2019/2020:

Call 1: Information for Researchers No. 74 | 31 October 2019(interner Link)

Funded projects in alphabetical order according to name of grantee:

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