4 papers
Practical aspects of the virtual noise convex optimum design approach for correlated responses
Markus Hainy, Werner G. Müller, Andrej Pázman
In this paper we present several practically-oriented extensions and considerations for the virtual noise method in optimal design under correlation. First we introduce a slightly…
Green LIME: Improving AI Explainability through Design of Experiments
Alexandra Stadler, Werner G. Müller, Radoslav Harman
In artificial intelligence (AI), the complexity of many models and processes surpasses human understanding, making it challenging to determine why a specific prediction is made. Th…
Active Discrimination Learning for Gaussian Process Models
Elham Yousefi, Luc Pronzato, Markus Hainy +2
The paper covers the design and analysis of experiments to discriminate between two Gaussian process models, such as those widely used in computer experiments, kriging, sensor loca…
A convex approach to optimum design of experiments with correlated observations
Andrej Pázman, Markus Hainy, Werner G. Müller
Optimal design of experiments for correlated processes is an increasingly relevant and active research topic. Present methods have restricted possibilities to judge their quality.…