Optimal experimental design under irreducible uncertainty for inverse problems governed by PDEs. - Karina Koval; Alen Alexanderian; Georg Stadler (CoRR, 2019)

Tractable Optimal Experimental Design using Transport Maps. - Karina Koval; Roland Herzog; Robert Scheichl (CoRR, 2024)

Non-intrusive optimal experimental design for large-scale nonlinear Bayesian inverse problems using a Bayesian approximation error approach. - Karina Koval; Ruanui Nicholson (CoRR, 2024)

Subspace accelerated measure transport methods for fast and scalable sequential experimental design, with application to photoacoustic imaging. - Tiangang Cui; Karina Koval; Roland Herzog; Robert Scheichl (CoRR, 2025)