Speaker
Marcus NOACK
Description
Gaussian Processes and Gaussian-Process-Related stochastic processes have shown to be a powerful tool for autonomous control of data acquisition due to their robustness, analytical tractability, and natural inclusion of uncertainty quantification. In this talk, I want to present our work on a general, flexible, and powerful GP-driven framework for autonomous data acquisition. The focus will lie on making Gaussian processes domain aware, how this awareness can be used for decision-making, and the computational and mathematical challenges that come with domain awareness.
