A shearlet-based fast thresholded Landweber algorithm for deconvolution. - Philipp Grohs; Zeljko Kereta; Uwe Wiesmann (Int. J. Wavelets Multiresolution Inf. Process., 2016)

A Learning Theory Approach to a Computationally Efficient Parameter Selection for the Elastic Net. - Ernesto De Vito; Zeljko Kereta; Valeria Naumova (CoRR, 2018)

Nonlinear generalization of the single index model. - Zeljko Kereta; Timo Klock; Valeriya Naumova (CoRR, 2019)

Linear convergence and support recovery for non-convex multi-penalty regularization. - Zeljko Kereta; Johannes Maly; Valeriya Naumova (CoRR, 2019)

Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction. - Riccardo Barbano; Zeljko Kereta; Chen Zhang 023; Andreas Hauptmann; Simon R. Arridge; Bangti Jin (CoRR, 2020)

Stochastic EM methods with Variance Reduction for Penalised PET Reconstructions. - Zeljko Kereta; Robert Twyman; Simon R. Arridge; Kris Thielemans; Bangti Jin (CoRR, 2021)

Unsupervised Knowledge-Transfer for Learned Image Reconstruction. - Riccardo Barbano; Zeljko Kereta; Andreas Hauptmann; Simon R. Arridge; Bangti Jin (CoRR, 2021)

SreaMRAK a Streaming Multi-Resolution Adaptive Kernel Algorithm. - Andreas Oslandsbotn; Zeljko Kereta; Valeriya Naumova; Yoav Freund; Alexander Cloninger (CoRR, 2021)

StreaMRAK a streaming multi-resolution adaptive kernel algorithm. - Andreas Oslandsbotn; Zeljko Kereta; Valeriya Naumova; Yoav Freund; Alexander Cloninger (Appl. Math. Comput., 2022)

Stochastic Gradient Descent for Linear Inverse Problems in Variable Exponent Lebesgue Spaces. - Marta Lazzaretti; Zeljko Kereta; Claudio Estatico; Luca Calatroni (SSVM, 2023)

Fast and Painless Image Reconstruction in Deep Image Prior Subspaces. - Riccardo Barbano; Javier Antorán; Johannes Leuschner; José Miguel Hernández-Lobato; Zeljko Kereta; Bangti Jin (CoRR, 2023)

Score-Based Generative Models for PET Image Reconstruction. - Imraj RD Singh; Alexander Denker; Riccardo Barbano; Zeljko Kereta; Bangti Jin; Kris Thielemans; Peter Maass; Simon R. Arridge (CoRR, 2023)

An Investigation of Stochastic Variance Reduction Algorithms for Relative Difference Penalized 3D PET Image Reconstruction. - Robert Twyman; Simon R. Arridge; Zeljko Kereta; Bangti Jin; Ludovica Brusaferri; Sangtae Ahn; Charles W. Stearns; Brian F. Hutton; Irene A. Burger; Fotis Kotasidis; Kris Thielemans (IEEE Trans. Medical Imaging, 2023)

On the Convergence of Stochastic Gradient Descent for Linear Inverse Problems in Banach Spaces. - Bangti Jin; Zeljko Kereta (SIAM J. Imaging Sci., 2023)

Convergence Properties of Score-Based Models for Linear Inverse Problems Using Graduated Optimisation. - Pascal Fernsel; Zeljko Kereta; Alexander Denker (MLSP, 2024)

Convergence Properties of Score-Based Models using Graduated Optimisation for Linear Inverse Problems. - Pascal Fernsel; Zeljko Kereta; Alexander Denker (CoRR, 2024)

A Guide to Stochastic Optimisation for Large-Scale Inverse Problems. - Matthias J. Ehrhardt; Zeljko Kereta; Jingwei Liang; Junqi Tang (CoRR, 2024)

Stochastic Optimisation Framework using the Core Imaging Library and Synergistic Image Reconstruction Framework for PET Reconstruction. - Evangelos Papoutsellis; Casper O. da Costa-Luis; Daniel Deidda; Claire Delplancke; Margaret Duff; Gemma Fardell; Ashley Gillman; Jakob S. Jørgensen; Zeljko Kereta; Evgueni Ovtchinnikov; Edoardo Pasca; Georg Schramm; et al. (CoRR, 2024)

Data-driven approaches for electrical impedance tomography image segmentation from partial boundary data. - Alexander Denker; Zeljko Kereta; Imraj RD Singh; Tom Freudenberg; Tobias Kluth; Peter Maass; Simon R. Arridge (CoRR, 2024)

Image Reconstruction via Deep Image Prior Subspaces. - Riccardo Barbano; Javier Antorán; Johannes Leuschner; José Miguel Hernández-Lobato; Bangti Jin; Zeljko Kereta (Trans. Mach. Learn. Res., 2024)

Plug-and-Play Half-Quadratic Splitting for Ptychography. - Alexander Denker; Johannes Hertrich; Zeljko Kereta; Silvia Cipiccia; Ecem Erin; Simon R. Arridge (SSVM (1), 2025)

Why do we Regularise in Every Iteration for Imaging Inverse Problems? - Evangelos Papoutsellis; Zeljko Kereta; Kostas Papafitsoros (SSVM (1), 2025)