Applications of a Bayesian Approach with Deep Learning to Solving Inverse Problems

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Title

Applications of a Bayesian Approach with Deep Learning to Solving Inverse Problems

Content partner

Victoria University of Wellington

Collection

Open Access Victoria University of Wellington

Description

<b>Inverse problems are among the most challenging and widespread problems in science today. Inverse problems are commonly ill-conditioned, having potentially infinitely many solutions, and prior assumptions must be made in order to make the solution unique. Techniques for solving inverse problems are typically bespoke, requiring different tools and frameworks for each problem.</b> In this thesis we use Bayes' rule as a generic solution to a range of inverse problems, coupled with the deep le...

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Format

Research paper

Research format

Scholarly text / Thesis

Thesis level

Masters

Date created

2022

Creator

Alexander, Peter

URL

https://figshare.com/articles/thesis/Applications_of_a_Bayesian_Approach_with_Deep_Learning_to_So...

Related subjects

Modelling and simulation / Bayes / Normalising Flows / Inverse Problems / School: School of Engineering and Computer Science / Simulation and Modelling / Expanding knowledge in the information and computing sciences / Degree Discipline: Computer Science / Degree Level: Masters / Degree Name: Master of Science

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