Sequential Design Based on Mutual Information for Computer Experiments - Joakim Beck, KAUST

Sequential Design Based on Mutual Information for Computer Experiments - Joakim Beck, KAUST

Explore sequential design based on mutual information for computer experiments in this 20-minute talk by Joakim Beck from KAUST. Learn about uncertainty quantification, Gaussian Process emulation, and adaptive design strategies for complex physical systems. Discover the Mutual Information for Computer Experiments (MICE) algorithm and its applications in sensor placement, oscillatory function modeling, piston simulation, and tsunami modeling. Gain insights into practical issues, computational costs, and extensions to GP optimization.