From Displacements to Distributions: A Machine-Learning Enabled Framework for Quantifying Uncertainties in Parameters of Computational Models. - Taylor Roper; Harri Hakula; Troy Butler (CoRR, 2024)

A Distributions-based Approach for Data-Consistent Inversion. - Kirana Bergstrom; Troy Butler; Tim Wildey (CoRR, 2024)

Sequential Maximal Updated Density Parameter Estimation for Dynamical Systems with Parameter Drift. - Carlos del-Castillo-Negrete; Rylan Spence; Troy Butler; Clint Dawson 001 (CoRR, 2024)

Local Stochastic Sensitivity Analysis For Dynamical Systems. - Nishant Panda; Jehanzeb H. Chaudhry; Natalie Klein; James Carzon; Troy Butler (AISTATS, 2025)