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Zeljko Kereta
ORCID
Publication Activity (10 Years)
Years Active: 2016-2023
Publications (10 Years): 16
Top Topics
Elastic Net
Stochastic Gradient Descent
Variance Reduction
Image Reconstruction
Top Venues
CoRR
SSVM
SIAM J. Imaging Sci.
IEEE Trans. Medical Imaging
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Publications
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Imraj RD Singh
,
Alexander Denker
,
Riccardo Barbano
,
Zeljko Kereta
,
Bangti Jin
,
Kris Thielemans
,
Peter Maass
,
Simon R. Arridge
Score-Based Generative Models for PET Image Reconstruction.
CoRR
(2023)
Marta Lazzaretti
,
Zeljko Kereta
,
Claudio Estatico
,
Luca Calatroni
Stochastic Gradient Descent for Linear Inverse Problems in Variable Exponent Lebesgue Spaces.
SSVM
(2023)
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
An Investigation of Stochastic Variance Reduction Algorithms for Relative Difference Penalized 3D PET Image Reconstruction.
IEEE Trans. Medical Imaging
42 (1) (2023)
Bangti Jin
,
Zeljko Kereta
On the Convergence of Stochastic Gradient Descent for Linear Inverse Problems in Banach Spaces.
SIAM J. Imaging Sci.
16 (2) (2023)
Marta Lazzaretti
,
Zeljko Kereta
,
Luca Calatroni
,
Claudio Estatico
Stochastic gradient descent for linear inverse problems in variable exponent Lebesgue spaces.
CoRR
(2023)
Zeljko Kereta
,
Bangti Jin
On the Convergence of Stochastic Gradient Descent for Linear Inverse Problems in Banach Spaces.
CoRR
(2023)
Riccardo Barbano
,
Javier Antorán
,
Johannes Leuschner
,
José Miguel Hernández-Lobato
,
Zeljko Kereta
,
Bangti Jin
Fast and Painless Image Reconstruction in Deep Image Prior Subspaces.
CoRR
(2023)
Andreas Oslandsbotn
,
Zeljko Kereta
,
Valeriya Naumova
,
Yoav Freund
,
Alexander Cloninger
StreaMRAK a streaming multi-resolution adaptive kernel algorithm.
Appl. Math. Comput.
426 (2022)
Andreas Oslandsbotn
,
Zeljko Kereta
,
Valeriya Naumova
,
Yoav Freund
,
Alexander Cloninger
SreaMRAK a Streaming Multi-Resolution Adaptive Kernel Algorithm.
CoRR
(2021)
Zeljko Kereta
,
Robert Twyman
,
Simon R. Arridge
,
Kris Thielemans
,
Bangti Jin
Stochastic EM methods with Variance Reduction for Penalised PET Reconstructions.
CoRR
(2021)
Riccardo Barbano
,
Zeljko Kereta
,
Andreas Hauptmann
,
Simon R. Arridge
,
Bangti Jin
Unsupervised Knowledge-Transfer for Learned Image Reconstruction.
CoRR
(2021)
Riccardo Barbano
,
Zeljko Kereta
,
Chen Zhang
,
Andreas Hauptmann
,
Simon R. Arridge
,
Bangti Jin
Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction.
CoRR
(2020)
Zeljko Kereta
,
Timo Klock
,
Valeriya Naumova
Nonlinear generalization of the single index model.
CoRR
(2019)
Zeljko Kereta
,
Johannes Maly
,
Valeriya Naumova
Linear convergence and support recovery for non-convex multi-penalty regularization.
CoRR
(2019)
Ernesto De Vito
,
Zeljko Kereta
,
Valeria Naumova
A Learning Theory Approach to a Computationally Efficient Parameter Selection for the Elastic Net.
CoRR
(2018)
Philipp Grohs
,
Zeljko Kereta
,
Uwe Wiesmann
A shearlet-based fast thresholded Landweber algorithm for deconvolution.
Int. J. Wavelets Multiresolution Inf. Process.
14 (5) (2016)