is an Associate Professor of Algorithmic Machine Learning & Explainable AI at TU Munich and senior PI at Helmholtz AI.
His team develops approaches that enable models to refine their internal hypotheses, adapt their computation to the task at hand, and work with discrete, structured representations. These capabilities strengthen a model’s ability to form abstractions, perform adaptive inference, and carry out multi-step decision making. The goal is to advance AI systems that can address increasingly complex reasoning tasks with greater flexibility and precision, and in doing so, help uncover the underlying principles of intelligence.
Vincent Pauline
→ Group Stefan Bauer
Algorithmic Machine Learning & Explainable AI
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2024-12-27 - Last modified: 2024-12-27