Sampling of sharp posteriors in high dimensions is a challenging problem...
Recently, the Wasserstein loss function has been proven to be effective ...
Multiplicative noise arises in inverse problems when, for example,
uncer...
The Bayesian formulation of inverse problems is attractive for three pri...
Scalings in which the graph Laplacian approaches a differential operator...
A key problem in inference for high dimensional unknowns is the design o...
Recent research has shown the potential utility of probability distribut...