Zobrazeno 1 - 10
of 856
pro vyhledávání: '"Afkham, A"'
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 level set prior distributions. We analyze the convergence of the correspo
Externí odkaz:
http://arxiv.org/abs/2308.13673
Autor:
Alghamdi, Amal M A, Riis, Nicolai A B, Afkham, Babak M, Uribe, Felipe, Christensen, Silja L, Hansen, Per Christian, Jørgensen, Jakob S
Inverse problems, particularly those governed by Partial Differential Equations (PDEs), are prevalent in various scientific and engineering applications, and uncertainty quantification (UQ) of solutions to these problems is essential for informed dec
Externí odkaz:
http://arxiv.org/abs/2305.16951
Autor:
Riis, Nicolai A B, Alghamdi, Amal M A, Uribe, Felipe, Christensen, Silja L, Afkham, Babak M, Hansen, Per Christian, Jørgensen, Jakob S
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. CUQIpy employs a Bayesian framework, integrating prior knowledge wit
Externí odkaz:
http://arxiv.org/abs/2305.16949
This work describes a Bayesian framework for reconstructing the boundaries that represent targeted features in an image, as well as the regularity (i.e., roughness vs. smoothness) of these boundaries.This regularity often carries crucial information
Externí odkaz:
http://arxiv.org/abs/2305.04608
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 to standard inverse problems, these approaches are \emph{goal-oriented
Externí odkaz:
http://arxiv.org/abs/2304.08324
Publikováno v:
BMC Primary Care, Vol 25, Iss 1, Pp 1-8 (2024)
Abstract Background Providing primary care for people with frailty can be challenging due to an increased risk of adverse outcomes and use of potentially inappropriate medications which may exacerbate characteristics of frailty. eConsult is a service
Externí odkaz:
https://doaj.org/article/982d7e625afa42108cc4c7c48d70ba3f
Publikováno v:
In Psychiatry Research: Neuroimaging June 2024 340
Publikováno v:
In Canadian Journal of Diabetes June 2024 48(4):269-272
In this work, we describe a Bayesian framework for reconstructing the boundaries of piecewise smooth regions in the X-ray computed tomography (CT) problem in an infinite-dimensional setting. In addition to the reconstruction, we are also able to quan
Externí odkaz:
http://arxiv.org/abs/2107.06607
In this work, we describe a new approach that uses deep neural networks (DNN) to obtain regularization parameters for solving inverse problems. We consider a supervised learning approach, where a network is trained to approximate the mapping from obs
Externí odkaz:
http://arxiv.org/abs/2104.06594