Search Results for author: Ziruo Cai

Found 3 papers, 1 papers with code

Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation

no code implementations8 Apr 2024 Hong Ye Tan, Ziruo Cai, Marcelo Pereyra, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb

Unsupervised learning is a training approach in the situation where ground truth data is unavailable, such as inverse imaging problems.


NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems

1 code implementation17 Apr 2023 Ziruo Cai, Junqi Tang, Subhadip Mukherjee, Jinglai Li, Carola Bibiane Schönlieb, Xiaoqun Zhang

Bayesian methods for solving inverse problems are a powerful alternative to classical methods since the Bayesian approach offers the ability to quantify the uncertainty in the solution.

Bayesian Inference Computed Tomography (CT) +4

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