PIED: Physics-Informed Experimental Design for Inverse ProblemsInternational Conference on Learning Representations (ICLR), 2025 |
Bayesian design of measurements for magnetorelaxometry imagingInverse Problems (IP), 2023 |
Stability estimates for the expected utility in Bayesian optimal
experimental designInverse Problems (IP), 2022 |
Simplified algorithms for adaptive experiment design in parameter
estimationPhysical Review Applied (Phys. Rev. Appl.), 2022 |
Optimal Bayesian experimental design for subsurface flow problemsComputer Methods in Applied Mechanics and Engineering (CMAME), 2020 |
hIPPYlib: An Extensible Software Framework for Large-Scale Inverse
Problems Governed by PDEs; Part I: Deterministic Inversion and Linearized
Bayesian InferenceACM Transactions on Mathematical Software (TOMS), 2019 |