Mona Fuhrländer

According to our database, Mona Fuhrländer authored at least 6 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of four.

2022

Hermite-type modifications of BOBYQA for optimization with some partial derivatives.

Mona Fuhrländer, Sebastian Schöps

CoRR, 2022

Multi-Objective Yield Optimization for Electrical Machines using Machine Learning.

Morten Huber, Mona Fuhrländer, Sebastian Schöps

CoRR, 2022

2021

Efficient yield optimization with limited gradient information.

Mona Fuhrländer, Sebastian Schöps

CoRR, 2021

2020

Yield Optimization using Hybrid Gaussian Process Regression and a Genetic Multi-Objective Approach.

Mona Fuhrländer, Sebastian Schöps

CoRR, 2020

A Blackbox Yield Estimation Workflow with Gaussian Process Regression for Industrial Problems.

Mona Fuhrländer, Sebastian Schöps

CoRR, 2020

2019

Adaptive Newton-Monte Carlo for efficient and fully error controlled yield optimization.

Mona Fuhrländer, Niklas Georg, Ulrich Römer, Sebastian Schöps

CoRR, 2019