279 citations
- Heinrich Heine University DüsseldorfDE3 papers
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- Technical University of MunichDE3 papers
- Universidade Federal do AmazonasBR3 papers
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- California State University, Long BeachUS2 papers
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- Lawrence Berkeley National LaboratoryUS2 papers
- National Superconducting Cyclotron LaboratoryUS2 papers
- Politecnico di TorinoIT2 papers
- Pontifícia Universidade Católica do Rio Grande do SulBR2 papers
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stat.ML2023★ 12 cited
Gradient and Uncertainty Enhanced Sequential Sampling for Global Fit
Sven Lämmle, Can Bogoclu, Kevin Cremanns +1
Surrogate models based on machine learning methods have become an important part of modern engineering to replace costly computer simulations. The data used for creating a surrogat…
stat.ML2021★ 17 cited
Local Latin Hypercube Refinement for Multi-objective Design Uncertainty Optimization
Can Bogoclu, Dirk Roos, Tamara Nestorović
Optimizing the reliability and the robustness of a design is important but often unaffordable due to high sample requirements. Surrogate models based on statistical and machine lea…