Yury Korolev

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Yagola AnatolyDepartment of Mathematics, Faculty of Physics, Lomonosov Moscow State UniversityVerified email at physics.msu.ru
Carola-Bibiane SchönliebDAMTP, University of CambridgeVerified email at cam.ac.uk
Martin BurgerDeutsches Elektronen-Synchrotron DESY und Universität HamburgVerified email at uni-hamburg.de
Vassili ToropovProfessor of Aerospace Engineering, Queen Mary University of LondonVerified email at qmul.ac.uk
Leon BungertInstitute of Mathematics, University of WürzburgVerified email at uni-wuerzburg.de
Andrea AspriMathematics Department "F. Enriques", Università degli Studi di MilanoVerified email at unimi.it
Otmar ScherzerUniversity of ViennaVerified email at univie.ac.at
Shahrokh ShahparRolls-Royce Fellow, Aerothermal Design SystemVerified email at rolls-royce.com
Jan LellmannUniversity of LuebeckVerified email at uni-luebeck.de
Julian Raschsyte, University of Applied Sciences MuensterVerified email at syte.ms
Bogdan ToaderMRC Laboratory of Molecular BiologyVerified email at mrc-lmb.cam.ac.uk
Leila MuresanUniversity of Cambridge & ARUVerified email at cam.ac.uk
Jérôme BoulangerMRC Laboratory of Molecular Biology / CNRSVerified email at mrc-lmb.cam.ac.uk
Artur GorokhResearch Scientist, FacebookVerified email at cornell.edu
Tamara G. GrossmannUniversity of CambridgeVerified email at cam.ac.uk
Guy GilboaElectrical Engineering, Technion - Israel Institute of TechnolgyVerified email at ee.technion.ac.il
Andreas HauptmannAcademy Research Fellow & Associate Professor, University of OuluVerified email at oulu.fi
Jonas LatzUniversity of ManchesterVerified email at manchester.ac.uk
Sergey KarabasovProfessor, Queen Mary University of LondonVerified email at qmul.ac.uk
Hanne KekkonenAssistant professor, TU Delft, NetherlandsVerified email at tudelft.nl

Yury Korolev

University of Bath

Verified email at bath.ac.uk - Homepage

Inverse Problems Machine Learning Variational Methods Imaging


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Two-layer neural networks with values in a Banach space Y Korolev SIAM Journal on Mathematical Analysis 54 (6), 6358-6389, 2022	27	2022
Data driven regularization by projection A Aspri, Y Korolev, O Scherzer Inverse Problems 36 (12), 125009, 2020	26	2020
Convergence rates and structure of solutions of inverse problems with imperfect forward models M Burger, Y Korolev, J Rasch Inverse Problems 35 (2), 024006, 2019	20	2019
Image reconstruction in light-sheet microscopy: spatially varying deconvolution and mixed noise B Toader, J Boulanger, Y Korolev, MO Lenz, J Manton, CB Schönlieb, ... Journal of mathematical imaging and vision 64 (9), 968-992, 2022	18	2022
Variational regularisation for inverse problems with imperfect forward operators and general noise models L Bungert, M Burger, Y Korolev, CB Schönlieb Inverse Problems 36 (12), 125014, 2020	16	2020
Image reconstruction with imperfect forward models and applications in deblurring Y Korolev, J Lellmann SIAM Journal on Imaging Sciences 11 (1), 197-218, 2018	15	2018
Large-scale CFD optimization based on the FFD parametrization using the multipoint approximation method in an HPC environment Y Korolev, V Toropov, S Shahpar 16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 3234, 2015	15	2015
Eigenvalue problems in 𝐿^{∞}: optimality conditions, duality, and relations with optimal transport L Bungert, Y Korolev Communications of the American Mathematical Society 2 (08), 345-373, 2022	14	2022
Parameter identification problem for a parabolic equation–application to the Black–Scholes option pricing model YM Korolev, H Kubo, AG Yagola Journal of Inverse and Ill-posed problems 20 (3), 327-337, 2012	14	2012
On inverse problems in partially ordered spaces with a priori information YM Korolev, AG Yagola Journal of Inverse and Ill-posed problems 20 (4), 567-573, 2012	13	2012
Structural analysis of an L-infinity variational problem and relations to distance functions L Bungert, Y Korolev, M Burger Pure and Applied Analysis 2 (3), 703-738, 2020	11	2020
Design optimization under uncertainty using the multipoint approximation method Y Korolev, V Toropov, S Shahpar 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials …, 2017	11	2017
Error estimation in linear inverse problems with prior information YM Korolev, AG Yagola Numerical methods and programming 13 (1), 14-18, 2012	11*	2012
Making use of a partial order in solving inverse problems Y Korolev, A Yagola Inverse Problems 29 (9), 095012, 2013	10	2013
Making use of a partial order in solving inverse problems: II. Y Korolev Inverse Problems 30 (8), 085003, 2014	7	2014
Deeply learned spectral total variation decomposition TG Grossmann, Y Korolev, G Gilboa, C Schoenlieb Advances in Neural Information Processing Systems 33, 12115-12126, 2020	6	2020
A total variation based regularizer promoting piecewise-Lipschitz reconstructions M Burger, Y Korolev, CB Schönlieb, C Stollenwerk Scale Space and Variational Methods in Computer Vision: 7th International …, 2019	5	2019
Inverse problems with learned forward operators S Arridge, A Hauptmann, Y Korolev arXiv preprint arXiv:2311.12528, 2023	4	2023
Data driven reconstruction using frames and Riesz bases A Aspri, L Frischauf, Y Korolev, O Scherzer Deterministic and Stochastic Optimal Control and Inverse Problems, 303-318, 2021	4	2021
Error estimation in ill-posed problems in special cases AG Yagola, YM Korolev Applied Inverse Problems: Select Contributions from the First Annual …, 2013	4	2013

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