Seguir
Nicholas Krämer
Título
Citado por
Citado por
Año
A Probabilistic State Space Model for Joint Inference from Differential Equations and Data
J Schmidt, N Krämer, P Hennig
Advances in Neural Information Processing Systems 34, 12374-12385, 2021
272021
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
252020
Stable Implementation of Probabilistic ODE Solvers
N Krämer, P Hennig
Journal of Machine Learning Research 25 (111), 1-29, 2024
20*2024
Probabilistic ODE Solutions in Millions of Dimensions
N Krämer, N Bosch, J Schmidt, P Hennig
International Conference on Machine Learning, 11634-11649, 2022
202022
ProbNum: Probabilistic Numerics in Python
J Wenger, N Krämer, M Pförtner, J Schmidt, N Bosch, N Effenberger, ...
arXiv preprint arXiv:2112.02100, 2021
192021
Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations
N Krämer, J Schmidt, P Hennig
International Conference on Artificial Intelligence and Statistics, 625-639, 2022
172022
Linear-Time Probabilistic Solutions of Boundary Value Problems
N Krämer, P Hennig
Advances in Neural Information Processing Systems 34, 2021
122021
Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs
E Magnani, N Krämer, R Eschenhagen, L Rosasco, P Hennig
arXiv preprint arXiv:2208.01565, 2022
82022
Probabilistic solvers enable a straight-forward exploration of numerical uncertainty in neuroscience models
J Oesterle, N Krämer, P Hennig, P Berens
Journal of Computational Neuroscience 50 (4), 485-503, 2022
4*2022
Implementing Probabilistic Numerical Solvers for Differential Equations
PN Krämer
Universität Tübingen, 2024
22024
Numerically Robust Fixed-Point Smoothing Without State Augmentation
N Krämer
arXiv preprint arXiv:2409.20004, 2024
12024
A tutorial on automatic differentiation with complex numbers
N Krämer
arXiv preprint arXiv:2409.06752, 2024
12024
Adaptive Probabilistic ODE Solvers Without Adaptive Memory Requirements
N Krämer
arXiv preprint arXiv:2410.10530, 2024
2024
Gradients of Functions of Large Matrices
N Krämer, P Moreno-Muñoz, H Roy, S Hauberg
arXiv preprint arXiv:2405.17277, 2024
2024
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–14