Publications

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


Empirical Inference Probabilistic Numerics Thesis Camera-specific Image Denoising Schober, M. Eberhard Karls Universität Tübingen, Germany, October 2013 (Published) PDF BibTeX

Perceiving Systems Empirical Inference Probabilistic Numerics Article Quasi-Newton Methods: A New Direction Hennig, P., Kiefel, M. Journal of Machine Learning Research, 14(1):843-865, March 2013 website+code pdf URL BibTeX

Empirical Inference Probabilistic Numerics Article Analytical probabilistic modeling for radiation therapy treatment planning Bangert, M., Hennig, P., Oelfke, U. Physics in Medicine and Biology, 58(16):5401-5419, 2013 PDF DOI BibTeX

Empirical Inference Probabilistic Numerics Conference Paper Analytical probabilistic proton dose calculation and range uncertainties Bangert, M., Hennig, P., Oelfke, U. In 17th International Conference on the Use of Computers in Radiation Therapy, 6-11, (Editors: A. Haworth and T. Kron), ICCR, 2013 BibTeX

Empirical Inference Probabilistic Numerics Technical Report Animating Samples from Gaussian Distributions Hennig, P. (8), Max Planck Institute for Intelligent Systems, Tübingen, Germany, 2013 PDF BibTeX

Empirical Inference Probabilistic Numerics Conference Paper Fast Probabilistic Optimization from Noisy Gradients Hennig, P. In Proceedings of The 30th International Conference on Machine Learning, JMLR W&CP 28(1), 62–70, (Editors: S Dasgupta and D McAllester), ICML, 2013 PDF BibTeX

Empirical Inference Probabilistic Numerics Conference Paper Nonparametric dynamics estimation for time periodic systems Klenske, E., Zeilinger, M., Schölkopf, B., Hennig, P. In Proceedings of the 51st Annual Allerton Conference on Communication, Control, and Computing, 486-493 , 2013 PDF DOI BibTeX

Empirical Inference Probabilistic Numerics Conference Paper The Randomized Dependence Coefficient Lopez-Paz, D., Hennig, P., Schölkopf, B. In Advances in Neural Information Processing Systems 26, 1-9, (Editors: C.J.C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS 2013), 2013 PDF BibTeX

Empirical Inference Probabilistic Numerics Poster The Randomized Dependence Coefficient Lopez-Paz, D., Hennig, P., Schölkopf, B. Neural Information Processing Systems (NIPS 2013), 2013 PDF BibTeX