1 citations · 1 across the 3 of their papers we have counts for
3 papers
Application of deep and reinforcement learning to boundary control problems
Zenin Easa Panthakkalakath, Juraj Kardoš, Olaf Schenk
The boundary control problem is a non-convex optimization and control problem in many scientific domains, including fluid mechanics, structural engineering, and heat transfer optim…
Sensitivity Analysis of High-Dimensional Models with Correlated Inputs
Juraj Kardos, Wouter Edeling, Diana Suleimenova +2
Sensitivity analysis is an important tool used in many domains of computational science to either gain insight into the mathematical model and interaction of its parameters or stud…
Integrated Nested Laplace Approximations for Large-Scale Spatial-Temporal Bayesian Modeling
Lisa Gaedke-Merzhäuser, Elias Krainski, Radim Janalik +2
Bayesian inference tasks continue to pose a computational challenge. This especially holds for spatial-temporal modeling where high-dimensional latent parameter spaces are ubiquito…