Articles with public access mandates - Philipp HennigLearn more
Available somewhere: 63
Batch Bayesian optimization via local penalization
J González, Z Dai, P Hennig, N Lawrence
Artificial intelligence and statistics, 648-657, 2016
Mandates: UK Biotechnology and Biological Sciences Research Council
Probabilistic numerics and uncertainty in computations
P Hennig, MA Osborne, M Girolami
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2015
Mandates: German Research Foundation, UK Engineering and Physical Sciences Research …
Being bayesian, even just a bit, fixes overconfidence in relu networks
A Kristiadi, M Hein, P Hennig
International conference on machine learning, 5436-5446, 2020
Mandates: German Research Foundation, European Commission, Federal Ministry of …
Laplace redux-effortless bayesian deep learning
E Daxberger, A Kristiadi, A Immer, R Eschenhagen, M Bauer, P Hennig
Advances in Neural Information Processing Systems 34, 20089-20103, 2021
Mandates: German Research Foundation, UK Engineering and Physical Sciences Research …
Limitations of the empirical fisher approximation for natural gradient descent
F Kunstner, L Balles, P Hennig
Advances in Neural Information Processing Systems (NeurIPS) 32, 2019
Mandates: German Research Foundation, European Commission, Federal Ministry of …
Descending through a crowded valley-benchmarking deep learning optimizers
RM Schmidt, F Schneider, P Hennig
International Conference on Machine Learning, 9367-9376, 2021
Mandates: German Research Foundation, European Commission, Federal Ministry of …
Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization
A Marco, F Berkenkamp, P Hennig, AP Schoellig, A Krause, S Schaal, ...
2017 IEEE International Conference on Robotics and Automation (ICRA), 1557-1563, 2017
Mandates: US National Science Foundation, Swiss National Science Foundation, US …
Fast bayesian hyperparameter optimization on large datasets
A Klein, S Falkner, S Bartels, P Hennig, F Hutter
Mandates: German Research Foundation, European Commission
Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: a new perspective
F Tronarp, H Kersting, S Särkkä, P Hennig
Statistics and Computing 29, 1297-1315, 2019
Mandates: US National Science Foundation, Academy of Finland, European Commission …
Analytical probabilistic modeling for radiation therapy treatment planning
M Bangert, P Hennig, U Oelfke
Physics in Medicine & Biology 58 (16), 5401, 2013
Mandates: Cancer Research UK
Fast and robust shortest paths on manifolds learned from data
G Arvanitidis, S Hauberg, P Hennig, M Schober
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Mandates: Villum Foundation, European Commission, Federal Ministry of Education and …
Convergence rates of Gaussian ODE filters
H Kersting, TJ Sullivan, P Hennig
Statistics and computing 30 (6), 1791-1816, 2020
Mandates: US National Science Foundation, German Research Foundation, European …
Bayesian ODE solvers: the maximum a posteriori estimate
F Tronarp, S Särkkä, P Hennig
Statistics and Computing 31 (3), 23, 2021
Mandates: German Research Foundation, Academy of Finland, European Commission, Federal …
Convergence guarantees for adaptive Bayesian quadrature methods
M Kanagawa, P Hennig
Advances in Neural Information Processing Systems (NeurIPS) 32, 2019
Mandates: German Research Foundation, European Commission, Federal Ministry of …
Learnable uncertainty under laplace approximations
A Kristiadi, M Hein, P Hennig
Uncertainty in Artificial Intelligence, 344-353, 2021
Mandates: German Research Foundation, European Commission, Federal Ministry of …
On the design of LQR kernels for efficient controller learning
A Marco, P Hennig, S Schaal, S Trimpe
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5193-5200, 2017
Mandates: US National Science Foundation, US Department of Defense
Probabilistic shortest path tractography in DTI using Gaussian Process ODE solvers
M Schober, N Kasenburg, A Feragen, P Hennig, S Hauberg
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
Mandates: US National Institutes of Health, Danish Council for Independent Research
Probabilistic linear solvers: a unifying view
S Bartels, J Cockayne, ICF Ipsen, P Hennig
Statistics and Computing 29, 1249-1263, 2019
Mandates: UK Engineering and Physical Sciences Research Council, European Commission
Integrals over Gaussians under linear domain constraints
A Gessner, O Kanjilal, P Hennig
International conference on artificial intelligence and statistics, 2764-2774, 2020
Mandates: German Research Foundation, European Commission, Federal Ministry of …
Fast predictive uncertainty for classification with bayesian deep networks
M Hobbhahn, A Kristiadi, P Hennig
Uncertainty in Artificial Intelligence, 822-832, 2022
Mandates: German Research Foundation, European Commission, Federal Ministry of …
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