50 citations · 82 across the 28 of their papers we have counts for
3 papers · 1 filter
Spotlight, priorsketching and Bayesian approximation error paradigms
Daniela Calvetti, Erkki Somersalo
A way to lower computational cost in large scale inverse problems and problems depending on poorly known model parameters is to replace the detailed model by an approximate one. In…
Sparse Dictionary-Based Solution of Dynamic Inverse Problems
Aidan Mason-Mackay, Daniela Calvetti, Erkki Somersalo +4
In ill-posed dynamic inverse problems expected spatial features and temporal correlation between frames can be leveraged to improve the quality of the computed solution, in particu…
Discretization-free Bayesian inverse problems in distribution spaces
Daniela Calvetti, Erkki Somersalo
The Bayesian approach to inverse problems provides a practical way to solve ill-posed problems by augmenting the observation model with prior information. Due to its measure-theore…