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Bioinspired Autonomous Miniature Robots

Dynamic Locomotion

Embodied Vision

Human Aspects of Machine Learning

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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

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Robot Learning

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Autonomous Motion Empirical Inference Probabilistic Numerics Intelligent Control Systems Conference Paper Automatic LQR Tuning Based on Gaussian Process Optimization: Early Experimental Results Marco, A., Hennig, P., Bohg, J., Schaal, S., Trimpe, S. Machine Learning in Planning and Control of Robot Motion Workshop at the IEEE/RSJ International Conference on Intelligent Robots and Systems (iROS), Machine Learning in Planning and Control of Robot Motion Workshop, October 2015 (Published) PDF DOI BibTeX
Empirical Inference Probabilistic Numerics Conference Paper A Random Riemannian Metric for Probabilistic Shortest-Path Tractography Hauberg, S., Schober, M., Liptrot, M., Hennig, P., Feragen, A. In 18th International Conference on Medical Image Computing and Computer Assisted Intervention, 9349:597-604, Lecture Notes in Computer Science, MICCAI, 2015 (Published) PDF DOI BibTeX
Empirical Inference Probabilistic Numerics Conference Paper Inference of Cause and Effect with Unsupervised Inverse Regression Sgouritsa, E., Janzing, D., Hennig, P., Schölkopf, B. In Proceedings of the 18th International Conference on Artificial Intelligence and Statistics, 38:847-855, JMLR Workshop and Conference Proceedings, (Editors: Lebanon, G. and Vishwanathan, S.V.N.), JMLR.org, AISTATS, 2015 (Published) Web PDF BibTeX
Empirical Inference Probabilistic Numerics Article Probabilistic Interpretation of Linear Solvers Hennig, P. SIAM Journal on Optimization, 25(1):234-260, 2015 (Published) Web PDF DOI URL BibTeX
Empirical Inference Probabilistic Numerics Conference Paper Probabilistic Line Searches for Stochastic Optimization Mahsereci, M., Hennig, P. In Advances in Neural Information Processing Systems 28, 181-189, (Editors: C. Cortes, N.D. Lawrence, D.D. Lee, M. Sugiyama and R. Garnett), Curran Associates, Inc., 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), 2015 (Published) Matlab research code URL BibTeX
Empirical Inference Probabilistic Numerics Article Probabilistic numerics and uncertainty in computations Hennig, P., Osborne, M. A., Girolami, M. Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, 471(2179), 2015 (Published) PDF DOI BibTeX