This project explores the field of inverse problems, a class of mathematical challenges where the goal is to determine the underlying cause of observed effects, applied to the field of computed ...
Abstract: A general framework for solving image inverse problems with piecewise linear estimations is introduced in this paper. The approach is based on Gaussian mixture models, which are estimated ...
Abstract: An approach to solving the inverse problem of thermoelasticity based on the influence function method is proposed. Using influence functions makes it possible to represent thermal stress and ...
This repository is the official repository for the ICML 2025 paper Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo by Filip Ekström Kelvinius, Zheng ...