Scholar
Matthias Kümmerer
Google Scholar ID: y5Ej2qYAAAAJ
Tübingen AI Center, University Tuebingen
Citations & Impact
Citations
44,253
H-index
17
i10-index
21
Publications
20
Co-authors
2
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Dedicated to developing machine learning models for neural data analysis aimed at understanding how populations of biological neurons perform inference and learning; particularly interested in the principles governing distributed processing; developed tools for interpreting, comparing, and ultimately understanding the representations and computations within these neural networks.
Research Experience
- Focused on developing language model agents capable of autonomous thinking, communication, and reasoning; exploring multi-modal foundation models that support rapid retrieval, reuse, and compositional integration of selected knowledge; building and benchmarking digital twins and detail-on-demand models to understand the workings of brain areas; constructing and evaluating human attention models across various modalities (image and video saliency, scanpath prediction, eye movements in VR).
Background
- Research interests include but are not limited to: Neuro AI – Autonomous Lifelong Learning in Machines and Brains; Open-ended model evaluation & benchmarking; Language Model Agents; Lifelong compositional, scalable and object-centric learning; Modeling brain representations & mechanistic interpretability; Attention in Humans and Machines.
