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Emperical Interference

Haptic Intelligence

Modern Magnetic Systems

Perceiving Systems

Physical Intelligence

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Social Foundations of Computation

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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

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Robot Learning

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Autonomous Learning

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Statistical Learning Theory Conference Paper Explaining the Explainer: A First Theoretical Analysis of LIME Garreau, D., von Luxburg, U. Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics , 108:1287-1296, Proceedings of Machine Learning Research, (Editors: Silvia Chiappa and Roberto Calandra), PMLR, 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020) , August 2020 (Published) URL BibTeX
Statistical Learning Theory Article Estimation of perceptual scales using ordinal embedding Haghiri, S., Wichmann, F. A., von Luxburg, U. Journal of Vision, 20(9), 2020 (Published) DOI URL BibTeX
Statistical Learning Theory Conference Paper Too Relaxed to Be Fair Lohaus, M., Perrot, M., von Luxburg, U. Proceedings of the 37th International Conference on Machine Learning (ICML 2020), 119:6316 - 6325, Proceedings of Machine Learning Research, Curran Associates, Inc. , Red Hook, International Conference of Machine Learning (ICML), 2020 (Published) URL BibTeX
Statistical Learning Theory Article Two-sample Hypothesis Testing for Inhomogeneous Random Graphs Ghoshdastidar, D., Gutzeit, M., Carpentier, A., von Luxburg, U. Annals of Statistics, 48(4):2208-2229, 2020 BibTeX
Statistical Learning Theory Conference Paper NetGAN without GAN: From Random Walks to Low-Rank Approximations Rendsburg, L., Heidrich, H., von Luxburg, U. International Conference of Machine Learning (ICML), 2020 BibTeX