A Sequential Sensor Selection Strategy for Hyper-Parameterized Linear Bayesian Inverse Problems. - Nicole Aretz-Nellesen; Peng Chen; Martin A. Grepl; Karen Veroy (ENUMATH, 2019)

3D-VAR for parameterized partial differential equations: a certified reduced basis approach. - Nicole Aretz-Nellesen; Martin A. Grepl; Karen Veroy (Adv. Comput. Math., 2019)

A Greedy Sensor Selection Algorithm for Hyperparameterized Linear Bayesian Inverse Problems. - Nicole Aretz; Peng Chen; Denise Degen; Karen Veroy (CoRR, 2023)

Enforcing structure in data-driven reduced modeling through nested Operator Inference. - Nicole Aretz; Karen Willcox (CDC, 2024)

A greedy sensor selection algorithm for hyperparameterized linear Bayesian inverse problems with correlated noise models. - Nicole Aretz; Peng Chen; Denise Degen; Karen Veroy (J. Comput. Phys., 2024)

Nested Operator Inference for Adaptive Data-Driven Learning of Reduced-order Models. - Nicole Aretz; Karen Willcox (CoRR, 2025)