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DEPARTMENTS

Emperical Interference

Haptic Intelligence

Modern Magnetic Systems

Perceiving Systems

Physical Intelligence

Robotic Materials

Social Foundations of Computation

Research Groups

Autonomous Vision

Autonomous Learning

Bioinspired Autonomous Miniature Robots

Dynamic Locomotion

Embodied Vision

Human Aspects of Machine Learning

Intelligent Control Systems

Learning and Dynamical Systems

Locomotion in Biorobotic and Somatic Systems

Micro, Nano, and Molecular Systems

Movement Generation and Control

Neural Capture and Synthesis

Physics for Inference and Optimization

Organizational Leadership and Diversity

Probabilistic Learning Group

Topics

Robot Learning

Conference Paper

2022

Autonomous Learning

Robotics

AI

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Statistical Learning Theory Empirical Inference Conference Paper A Bandit Model for Human-Machine Decision Making with Private Information and Opacity Bordt, S., von Luxburg, U. In Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 151:7300-7319, Proceedings of Machine Learning Research, (Editors: Camps-Valls, Gustau and Ruiz, Francisco J. R. and Valera, Isabel), PMLR, March 2022 (Published) URL BibTeX
Statistical Learning Theory Article Advancing research on unconscious priming: When can scientists claim an indirect task advantage? Meyen, S., Zerweck, I., Amado, C., von Luxburg, U., Franz, V. Journal of Experimental Psychology: General, 151(1):65-81, 2022 (Published) DOI BibTeX