Publications
- Multi-level Data Assimilation: Statistical Background and Application to the Shallow-Water Model
- Efficient numerical simulation of vacuum swing adsorption using automatic differentiation
- Efficient numerical simulation of vacuum swing adsorption using automatic differentiation
- Hva er algoritmer? Og styrer de livene våre?
- Constraint Preserving Mixers for the Quantum Approximate Optimization Algorithm
- Convergence Rates of Monotone Schemes for Conservation Laws for Data with Unbounded Total Variation Read publication
- Iterative Surrogate Model Optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks
- A multi-level procedure for enhancing accuracy of machine learning algorithms
- Geilo Winter School in eScience on Learning from Data
- Density-consistent Initialization of SPH on a Regular Cartesian Grid: Comparative Numerical Study of 10 Smoothing Kernels in 1, 2 and 3 Dimensions