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Department of Applied Mathematics and Theoretical Physics

 

I moved to the Department of Mathematical Sciences at the University of Bath. This is my new department web page. My personal web page is yury-korolev.gitlab.io.

 

Research Interests

Inverse Problems, Variational Methods, Mathematical Imaging, Mathematics of Machine Learning

Teaching

I taught Introduction to Nonlinear Spectral Analysis in Lent term 2021/2022 and Inverse Problems in 2018/2019, 2019/2020 and 2020/2021.

Personal Web Page

NB: the list of publications below is generated automatically and may be incomplete. For an up-to-date list and more details about my research and teaching please visit my personal web page yury-korolev.gitlab.io.

 

Publications

Data Driven Reconstruction Using Frames and Riesz Bases
A Aspri, L Frischauf, Y Korolev, O Scherzer
(2021)
303
Variational regularisation for inverse problems with imperfect forward operators and general noise models.
L Bungert, M Burger, Y Korolev, C-B Schönlieb
– Inverse Probl
(2020)
36,
125014
Data driven regularization by projection
A Aspri, Y Korolev, O Scherzer
– Inverse Problems
(2020)
36,
125009
Structural analysis of an $L$-infinity variational problem and relations to distance functions
L Bungert, Y Korolev, M Burger
– Pure and Applied Analysis
(2020)
2,
703
Deeply learned spectral total variation decomposition
TG Grossmann, Y Korolev, G Gilboa, CB Schönlieb
– Advances in Neural Information Processing Systems
(2020)
2020-December,
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, SSVM 2019
(2019)
11603 LNCS,
485
Convergence rates and structure of solutions of inverse problems with imperfect forward models
M Burger, Y Korolev, J Rasch
– Inverse Problems
(2019)
35,
024006
Total Variation Regularisation with Spatially Variable Lipschitz Constraints.
M Burger, Y Korolev, S Parisotto, C-B Schönlieb
– CoRR
(2019)
abs/1912.02768,
HPC Implementation of the Multipoint Approximation Method for Large Scale Design Optimization Problems Under Uncertainty
V Toropov, Y Korolev, K Barkalov, E Kozinov, V Gergel
(2018)
296
Image reconstruction with imperfect forward models and applications in deblurring
Y Korolev, J Lellmann
– SIAM Journal on Imaging Sciences
(2018)
11,
197
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Research Group

Cambridge Image Analysis

Room

F0.14