Surrogate-assisted evolutionary algorithms (SAEAs) hold significant
impo...
Finding a transformation between two unknown probability distributions f...
Bayesian methods for solving inverse problems are a powerful alternative...
The Langevin algorithms are frequently used to sample the posterior
dist...
We consider a Beckmann formulation of an unbalanced optimal transport (U...
Low-dose CT (LDCT) imaging attracted a considerable interest for the
red...
In this paper, we consider the ℓ_0 minimization problem whose objective
...
Neural network has attracted great attention for a long time and many
re...
Precision matrix estimation is an important problem in statistical data
...
We provide a complete framework for performing infinite-dimensional Baye...
Wavelet frame systems are known to be effective in capturing singulariti...