Nicholas Krämer
Title
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Cited by
Year
Differentiable likelihoods for fast inversion of’likelihood-free’dynamical systems
H Kersting, N Krämer, M Schiegg, C Daniel, M Tiemann, P Hennig
International Conference on Machine Learning, 5198-5208, 2020
102020
Stable Implementation of Probabilistic ODE Solvers
N Krämer, P Hennig
arXiv preprint arXiv:2012.10106, 2020
32020
A Probabilistic State Space Model for Joint Inference from Differential Equations and Data
J Schmidt, N Krämer, P Hennig
arXiv preprint arXiv:2103.10153, 2021
12021
Linear-Time Probabilistic Solutions of Boundary Value Problems
N Krämer, P Hennig
arXiv preprint arXiv:2106.07761, 2021
2021
Numerical uncertainty can critically affect simulations of mechanistic models in neuroscience
J Oesterle, N Kraemer, P Hennig, P Berens
bioRxiv, 2021
2021
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Articles 1–5