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![Variational Generative Flows for Reconstruction Uncertainty Estimation CSMD Computer Science and Mathematics Division ORNL](/sites/default/files/styles/list_page_thumbnail/public/2022-07/variational_generative_flows_for_reconstruction_uncertainty_estimation.png?h=429f3186&itok=Hhws1ahJ)
A research team from ORNL and Pacific Northwest National Laboratory has developed a deep variational framework to learn an approximate posterior for uncertainty quantification.
A research team from ORNL and Pacific Northwest National Laboratory has developed a deep variational framework to learn an approximate posterior for uncertainty quantification.