100 citations · 125 across the 16 of their papers we have counts for
4 papers · 1 filter
A Bayesian approach for consistent reconstruction of inclusions
Babak Maboudi Afkham, Kim Knudsen, Aksel Kaastrup Rasmussen +1
This paper considers a Bayesian approach for inclusion detection in nonlinear inverse problems using two known and popular push-forward prior distributions: the star-shaped and lev…
CUQIpy: II. Computational uncertainty quantification for PDE-based inverse problems in Python
Amal M A Alghamdi, Nicolai A B Riis, Babak M Afkham +4
Inverse problems, particularly those governed by Partial Differential Equations (PDEs), are prevalent in various scientific and engineering applications, and uncertainty quantifica…
CUQIpy: I. Computational uncertainty quantification for inverse problems in Python
Nicolai A B Riis, Amal M A Alghamdi, Felipe Uribe +4
This paper introduces CUQIpy, a versatile open-source Python package for computational uncertainty quantification (UQ) in inverse problems, presented as Part I of a two-part series…
Goal-oriented Uncertainty Quantification for Inverse Problems via Variational Encoder-Decoder Networks
Babak Maboudi Afkham, Julianne Chung, Matthias Chung
In this work, we describe a new approach that uses variational encoder-decoder (VED) networks for efficient goal-oriented uncertainty quantification for inverse problems. Contrary…