24 citations · 24 across the 1 of their papers we have counts for
3 papers
stat.ML2020
Adaptive Sampling of Pareto Frontiers with Binary Constraints Using Regression and Classification
Raoul Heese, Michael Bortz
We present a novel adaptive optimization algorithm for black-box multi-objective optimization problems with binary constraints on the foundation of Bayes optimization. Our method i…
cs.LG2019
The Good, the Bad and the Ugly: Augmenting a black-box model with expert knowledge
Raoul Heese, Michał Walczak, Lukas Morand +2
We address a non-unique parameter fitting problem in the context of material science. In particular, we propose to resolve ambiguities in parameter space by augmenting a black-box…
stat.AP2019★ 24 cited
Optimized data exploration applied to the simulation of a chemical process
Raoul Heese, Michal Walczak, Tobias Seidel +2
In complex simulation environments, certain parameter space regions may result in non-convergent or unphysical outcomes. All parameters can therefore be labeled with a binary class…