Institute Homepage
Institute Homepage DE Sign In

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

Career

Award

Statistical Learning Theory Conference Paper Comparison-based nearest neighbor search Haghiri, S., Ghoshdastidar, D., von Luxburg, U. In Artificial Intelligence and Statistics, Artificial Intelligence and Statistics (AISTATS), 2017 BibTeX
Statistical Learning Theory Conference Paper Kernel functions based on triplet comparisons Kleindessner, M., von Luxburg, U. In Proceedings Neural Information Processing Systems, Neural Information Processing Systems (NIPS 2017), 2017 BibTeX
Statistical Learning Theory Article Lens Depth Function and k-Relative Neighborhood Graph: Versatile Tools for Ordinal Data Analysis Kleindessner, M., von Luxburg, U. Journal of Machine Learning Research (JMLR), Journal of Machine Learning Research, 18, 2017 BibTeX
Statistical Learning Theory Conference Paper Two-sample tests for large random graphs using network statistics Ghoshdastidar, D., Gutzeit, M., Carpentier, A., von Luxburg, U. In Conference on Computational Learning Theory (COLT), Conference on Computational Learning Theory (COLT), 2017 BibTeX