3 papers
math.PR2026
Data-driven subsampling rates for diffusion parameter estimation of SDEs
Felix Lindner, Andre SchmeiÃer, Felipe Trolldenier +1
We study the problem of diffusion parameter estimation for stochastic differential equation (SDE) models in scenarios where data and model are compatible only on specific scales th…
cs.LG2024
Machine learning-based optimization workflow of the homogeneity of spunbond nonwovens with human validation
Viny Saajan Victor, Andre SchmeiÃer, Heike Leitte +1
In the last ten years, the average annual growth rate of nonwoven production was 4%. In 2020 and 2021, nonwoven production has increased even further due to the huge demand for non…
math.NA2024
Machine Learning Based Optimization Workflow for Tuning Numerical Settings of Differential Equation Solvers for Boundary Value Problems
Viny Saajan Victor, Manuel Ettmüller, Andre SchmeiÃer +2
Several numerical differential equation solvers have been employed effectively over the years as an alternative to analytical solvers to quickly and conveniently solve differential…