Non-linear inverse problems constitute an inherently more difficult family of inverse problems.

An inherently more difficult family of inverse problems are collectively referred to as non-linear inverse problems.

Regularised posteriors in linear ill-posed inverse problems

Propagation: guided acoustic waves and inverse problems

Introduction to Bayesian methods in inverse problems

Such inverse problems called incorrect or ill-posed problems.

Inverse problems, applications in medicine and geophysics

regularization and inverse problems in machine learning;

Inverse Problems and Experiments: a Fruitful Symbiosis

The course will give an introduction to Inverse Problems.

Linear Inverse Problems and Tikhonov Regularization

One thing all the problems have in common is that they are ill-posed inverse problems.

That case involved complex issues of inverse condemnation.

Product: Dynamics of Large Structures and Inverse Problems

A nonparametric Bayesian approach to inverse problems.