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Found 3 papers, 1 papers with code
Image Reconstruction by Splitting Expectation Propagation Techniques from Iterative Inversion
Reconstructing images from downsampled and noisy measurements, such as MRI and low dose Computed Tomography (CT), is a mathematically ill-posed inverse problem.
A Variational Inference Framework for Inverse Problems
A framework is presented for fitting inverse problem models via variational Bayes approximations.
Bayesian Probabilistic Numerical Methods in Time-Dependent State Estimation for Industrial Hydrocyclone Equipment
The use of high-power industrial equipment, such as large-scale mixing equipment or a hydrocyclone for separation of particles in liquid suspension, demands careful monitoring to ensure correct operation.
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