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 Foundations of Comparison-Based Hierarchical Clustering Ghoshdastidar, D., Perrot, M., von Luxburg, U. Advances in Neural Information Processing Systems 32 (NIPS 2019), NeurIPS, Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Statistical Learning Theory Conference Paper Boosting for Comparison-Based Learning Perrot, M., von Luxburg, U. International Joint Conference on Artificial Intelligence (IJCAI), 2019 BibTeX