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Unsupervised Knowledge-Transfer for Learned Image Reconstruction


Jul 06, 2021
Riccardo Barbano, Zeljko Kereta, Andreas Hauptmann, Simon R. Arridge, Bangti Jin


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Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction


Nov 30, 2020
Riccardo Barbano, Željko Kereta, Chen Zhang, Andreas Hauptmann, Simon Arridge, Bangti Jin

* NeurIPS 2020 Workshop on Deep Learning and Inverse Problems 

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Quantifying Model Uncertainty in Inverse Problems via Bayesian Deep Gradient Descent


Jul 20, 2020
Riccardo Barbano, Chen Zhang, Simon Arridge, Bangti Jin

* 8 pages, 6 figures 

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Probabilistic Residual Learning for Aleatoric Uncertainty in Image Restoration


Aug 01, 2019
Chen Zhang, Bangti Jin


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A Unified Primal Dual Active Set Algorithm for Nonconvex Sparse Recovery


Jan 06, 2018
Jian Huang, Yuling Jiao, Bangti Jin, Jin Liu, Xiliang Lu, Can Yang


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Variational Gaussian Approximation for Poisson Data


Sep 18, 2017
Simon Arridge, Kazufumi Ito, Bangti Jin, Chen Zhang

* 26 pages 

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A Primal Dual Active Set with Continuation Algorithm for the \ell^0-Regularized Optimization Problem


Mar 03, 2014
Yuling Jiao, Bangti Jin, Xiliang Lu


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