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Intelligent Control Systems Movement Generation and Control Probabilistic Numerics Empirical Inference Article Robot Learning with Crash Constraints Marco, A., Baumann, D., Khadiv, M., Hennig, P., Righetti, L., Trimpe, S. IEEE Robotics and Automation Letters, 6(2):1439-1446, IEEE, February 2021 (Published) DOI URL BibTeX
Probabilistic Numerics Article Three-dimensional models of core-collapse supernovae from low-mass progenitors with implications for Crab Stockinger, G., Janka, H., Kresse, D., Melson, T., Ertl, T., Gabler, M., Gessner, A., Wongwathanarat, A., Tolstov, A., Leung, S., et al. Monthly Notices of the Royal Astronomical Society , 496(2):2039-2084, August 2020 (Published) DOI BibTeX
Probabilistic Numerics Article Convergence Analysis of Deterministic Kernel-Based Quadrature Rules in Misspecified Settings Kanagawa, M., Sriperumbudur, B. K., Fukumizu, K. Foundations of Computational Mathematics, 20:155-1944, February 2020 (Published) arXiv DOI BibTeX
Empirical Inference Probabilistic Numerics Article Analytical probabilistic modeling of dose-volume histograms Wahl, N., Hennig, P., Wieser, H., Bangert, M. Medical Physics, 47(10):5260-5273, 2020 (Published) DOI BibTeX
Empirical Inference Probabilistic Numerics Article Convergence rates of Gaussian ODE filters Kersting, H., Sullivan, T. J., Hennig, P. Statistics and Computing, 30(6):1791-1816, 2020 (Published) DOI BibTeX
Probabilistic Numerics Article Probabilistic Solutions To Ordinary Differential Equations As Non-Linear Bayesian Filtering: A New Perspective Tronarp, F., Kersting, H., Särkkä, S., Hennig, P. Statistics and Computing, 29(6):1297-1315, 2019 (Published) DOI URL BibTeX
Empirical Inference Probabilistic Numerics Article Dense connectomic reconstruction in layer 4 of the somatosensory cortex Motta, A., Berning, M., Boergens, K. M., Staffler, B., Beining, M., Loomba, S., Hennig, P., Wissler, H., Helmstaedter, M. Science, 366(6469):eaay3134, 2019 (Published) DOI BibTeX
Probabilistic Numerics Article On the positivity and magnitudes of Bayesian quadrature weights Karvonen, T., Kanagawa, M., Särkä, S. Statistics and Computing, 29:1317-1333, 2019 (Published) DOI BibTeX
Probabilistic Numerics Article Probabilistic Linear Solvers: A Unifying View Bartels, S., Cockayne, J., Ipsen, I., Hennig, P. Statistics and Computing, 29(6):1249-1263, 2019 (Published) DOI URL BibTeX
Empirical Inference Probabilistic Numerics Article Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: a new perspective Tronarp, F., Kersting, H., Särkkä, S. H. P. Statistics and Computing, 29(6):1297-1315, 2019 (Published) DOI BibTeX
Probabilistic Numerics Article Convergence Rates of Gaussian ODE Filters Kersting, H., Sullivan, T. J., Hennig, P. arXiv preprint 2018, arXiv:1807.09737 [math.NA], July 2018 () URL BibTeX
Probabilistic Numerics Article A probabilistic model for the numerical solution of initial value problems Schober, M., Särkkä, S., Hennig, P. Statistics and Computing, 29(1):99–122, 2018 (Published) PDF Code DOI BibTeX
Probabilistic Numerics Article Analytical incorporation of fractionation effects in probabilistic treatment planning for intensity-modulated proton therapy Wahl, N., Hennig, P., Wieser, H., Bangert, M. Medical Physics, 45(4):1317-1328, 2018 (Published) DOI BibTeX
Probabilistic Numerics Empirical Inference Article Counterfactual Mean Embedding: A Kernel Method for Nonparametric Causal Inference Muandet, K., Kanagawa, M., Saengkyongam, S., Marukata, S. Arxiv e-prints, arXiv:1805.08845v1 [stat.ML], 2018 () arXiv BibTeX
Probabilistic Numerics Article Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences Kanagawa, M., Hennig, P., Sejdinovic, D., Sriperumbudur, B. K. Arxiv e-prints, arXiv:1805.08845v1 [stat.ML], 2018 () arXiv BibTeX
Probabilistic Numerics Article Model-based Kernel Sum Rule: Kernel Bayesian Inference with Probabilistic Models Nishiyama, Y., Kanagawa, M., Gretton, A., Fukumizu, K. Arxiv e-prints, arXiv:1409.5178v2 [stat.ML], 2018 () arXiv BibTeX
Probabilistic Numerics Article Probabilistic Line Searches for Stochastic Optimization Mahsereci, M., Hennig, P. Journal of Machine Learning Research, 18(119):1-59, November 2017 (Published) URL BibTeX
Probabilistic Numerics Article Analytical probabilistic modeling of RBE-weighted dose for ion therapy Wieser, H., Hennig, P., Wahl, N., Bangert, M. Physics in Medicine and Biology (PMB), 62(23):8959-8982, 2017 () URL BibTeX
Probabilistic Numerics Perceiving Systems Article Early Stopping Without a Validation Set Mahsereci, M., Balles, L., Lassner, C., Hennig, P. arXiv preprint arXiv:1703.09580, 2017 () URL BibTeX
Probabilistic Numerics Article Efficiency of analytical and sampling-based uncertainty propagation in intensity-modulated proton therapy Wahl, N., Hennig, P., Wieser, H. P., Bangert, M. Physics in Medicine & Biology, 62(14):5790-5807, 2017 () URL BibTeX
Probabilistic Numerics Article Krylov Subspace Recycling for Fast Iterative Least-Squares in Machine Learning Roos, F. D., Hennig, P. arXiv preprint arXiv:1706.00241, 2017 () URL BibTeX
Empirical Inference Probabilistic Numerics Article New Directions for Learning with Kernels and Gaussian Processes (Dagstuhl Seminar 16481) Gretton, A., Hennig, P., Rasmussen, C., Schölkopf, B. Dagstuhl Reports, 6(11):142-167, 2017 (Published) DOI BibTeX
Empirical Inference Probabilistic Numerics Article Dual Control for Approximate Bayesian Reinforcement Learning Klenske, E. D., Hennig, P. Journal of Machine Learning Research, 17(127):1-30, 2016 (Published) PDF URL BibTeX
Empirical Inference Probabilistic Numerics Article Gaussian Process-Based Predictive Control for Periodic Error Correction Klenske, E. D., Zeilinger, M., Schölkopf, B., Hennig, P. IEEE Transactions on Control Systems Technology , 24(1):110-121, 2016 (Published) PDF DOI 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 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
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 Article Entropy Search for Information-Efficient Global Optimization Hennig, P., Schuler, C. Journal of Machine Learning Research, 13:1809-1837, -, June 2012 () PDF Web BibTeX