Concepedia

Juliane Müller

JM

22

Publications

1.3K

Citations

17

H-Index

2009

Active since

Affiliations

Lawrence Berkeley National Laboratory(Current)

Cornell University

Hollister (United States)

Applied Mathematics (United States)

Juliane Müller is an author at Lawrence Berkeley National Laboratory specializing in engineering, computer science, and inverse problems.

Top concepts

EngineeringComputer ScienceInverse ProblemsMachine LearningOperations ResearchData ScienceMathematical ProgrammingNumerical AnalysisPredictive AnalyticsCombinatorial Optimization

Publications per year

2009–2022

22

Publications

22

SO-MI: A surrogate model algorithm for computationally expensive nonlinear mixed-integer black-box global optimization problems

Juliane Müller, Christine A. Shoemaker, Robert Piché · Computers & Operations Research · 2012 · 189 citations

Numerical Analysis, Large-scale Global Optimization, Engineering +8

Influence of ensemble surrogate models and sampling strategy on the solution quality of algorithms for computationally expensive black-box global optimization problems

Juliane Müller, Christine A. Shoemaker · Journal of Global Optimization · 2014 · 158 citations

Mathematical Programming, Large-scale Global Optimization, Solution Quality +9

Mixture surrogate models based on Dempster-Shafer theory for global optimization problems

Juliane Müller, Robert Piché · Journal of Global Optimization · 2010 · 111 citations

Mathematical Programming, Large-scale Global Optimization, Global Optimization Problems +9

Surrogate optimization of deep neural networks for groundwater predictions

Juliane Müller, Jangho Park, Reetik Kumar Sahu et al. · Journal of Global Optimization · 2020 · 97 citations · Full text

Model Optimization, Engineering, Machine Learning +4

Classical Optimizers for Noisy Intermediate-Scale Quantum Devices

W. Lavrijsen, Ana Tudor, Juliane Müller et al. · 2020 · 96 citations · Full text

Quantum Science, Engineering, Quantum Computing +13

Rows per page

1–5 of 22