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stat.ML2026
Copula Transformations for Data-Consistent Inversion
Troy Butler, Tianyi Jiang, João Silva +2
Data-consistent inversion (DCI) constructs probability measures whose push-forward distributions agree with observed data, while iterative data-consistent inversion (iDCI) extends…
stat.ML2024
From Displacements to Distributions: A Machine-Learning Enabled Framework for Quantifying Uncertainties in Parameters of Computational Models
Taylor Roper, Harri Hakula, Troy Butler
This work presents novel extensions for combining two frameworks for quantifying both aleatoric (i.e., irreducible) and epistemic (i.e., reducible) sources of uncertainties in the…