Research interests:
- Inverse problems and Bayesian inverse problems
- Uncertainty quantification
- Applications in engineering and medicine
Please find more information on Jonas' webpage.
Publications
Multilevel Sequential Importance Sampling for Rare Event Estimation
– SIAM Journal on Scientific Computing
(2020)
42,
A2062
(DOI: 10.1137/19m1289601)
On the Well-posedness of Bayesian Inverse Problems
– SIAM-ASA Journal on Uncertainty Quantification
(2020)
8,
451
(DOI: 10.1137/19M1247176)
Multilevel Adaptive Sparse Leja Approximations for Bayesian Inverse Problems
– SIAM Journal on Scientific Computing
(2020)
42,
a424
(DOI: 10.1137/19m1260293)
Bayesian Parameter Identification in Cahn-Hilliard Models for Biological Growth
– SIAM/ASA Journal on Uncertainty Quantification
(2019)
7,
526
(DOI: 10.1137/18m1210034)
Fast sampling of parameterised Gaussian random fields
– Computer Methods in Applied Mechanics and Engineering
(2019)
348,
978
(DOI: 10.1016/j.cma.2019.02.003)
Multilevel Sequential${}^2$ Monte Carlo for Bayesian Inverse Problems
– Journal of Computational Physics
(2018)
368,
154
(DOI: 10.1016/j.jcp.2018.04.014)
Classification and image processing with a semi-discrete scheme for
fidelity forced Allen--Cahn on graphs
Analysis of Stochastic Gradient Descent in Continuous Time
A practical example for the non-linear Bayesian filtering of model
parameters
Certified and fast computations with shallow covariance kernels
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