Applied Mathematical Seminar 59: From Model to Data driven Imaging Inverse problems

Seminar| Institute of Mathematical Sciences

Time: Thursday, January 18th, 2024 , 10:15-11:15

Abstract: Imaging from downsampled and corrupted measurements are mathematically ill-posed inverse problems. In this talk, I will discuss two paradigms: model and data driven, especially sparsity and deep learning-based methods for solving linear and nonlinear imaging inverse problems.  I will also discuss the computational aspects for solving the related large-scale variational problems and Bayesian sampling methods as well as the theoretical results.