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Klaus-Robert Müller

b. 1964

Klaus-Robert Müller (b. 1964) is a German computer scientist renowned for his pioneering work in machine learning, kernel methods, and brain-computer interfaces. He is a professor at the Technical University of Berlin and has significantly advanced the interpretability and robustness of AI systems.

Computer Science

Kernel Methods for Pattern Analysis (with John Shawe-Taylor)
An Introduction to Kernel-Based Learning Algorithms
Brain-Computer Interfaces: A Gentle Introduction
Interpretable Machine Learning: From Black Boxes to Glass Boxes
Causal Inference in Machine Learning: A Primer
The Myth of Model-Free Learning
Keynote: The Future of AI is Interpretable (NeurIPS 2019)
Interview: Why We Need to Demystify Deep Learning (Nature Machine Intelligence, 2021)

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