3 citations · 3 across the 7 of their papers we have counts for
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A Computational Framework and Implementation of Implicit Priors in Bayesian Inverse Problems
Jasper M. Everink, Chao Zhang, Amal M. A. Alghamdi +3
Solving Bayesian inverse problems typically involves deriving a posterior distribution using Bayes' rule, followed by sampling from this posterior for analysis. Sampling methods, s…
Fast Gaussian Processes under Monotonicity Constraints
Chao Zhang, Jasper M. Everink, Jakob Sauer Jørgensen
Gaussian processes (GPs) are widely used as surrogate models for complicated functions in scientific and engineering applications. In many cases, prior knowledge about the function…
Self-supervised Conformal Prediction for Uncertainty Quantification in Imaging Problems
Jasper M. Everink, Bernardin Tamo Amougou, Marcelo Pereyra
Most image restoration problems are ill-conditioned or ill-posed and hence involve significant uncertainty. Quantifying this uncertainty is crucial for reliably interpreting experi…