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08/27/2023
Score-Based Generative Models for PET Image Reconstruction
Score-based generative models have demonstrated highly promising results...
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03/16/2023
Stochastic gradient descent for linear inverse problems in variable exponent Lebesgue spaces
We consider a stochastic gradient descent (SGD) algorithm for solving li...
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02/20/2023
Fast and Painless Image Reconstruction in Deep Image Prior Subspaces
The deep image prior (DIP) is a state-of-the-art unsupervised approach f...
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08/23/2021
StreaMRAK a Streaming Multi-Resolution Adaptive Kernel Algorithm
Kernel ridge regression (KRR) is a popular scheme for non-linear non-par...
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07/06/2021
Unsupervised Knowledge-Transfer for Learned Image Reconstruction
Deep learning-based image reconstruction approaches have demonstrated im...
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06/06/2021
Stochastic EM methods with Variance Reduction for Penalised PET Reconstructions
Expectation-maximization (EM) is a popular and well-established method f...
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11/17/2020
Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction
Image reconstruction methods based on deep neural networks have shown ou...
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09/26/2019
Estimating covariance and precision matrices along subspaces
We study the accuracy of estimating the covariance and the precision mat...
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08/07/2019
Linear convergence and support recovery for non-convex multi-penalty regularization
We provide a comprehensive convergence study of the iterative multi-pena...
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02/24/2019
Nonlinear generalization of the single index model
Single index model is a powerful yet simple model, widely used in statis...
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09/23/2018
