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Department of Applied Mathematics and Theoretical Physics

 

Research Interests

Inverse Problems, Variational Methods, Mathematical Imaging, Theoretical Machine Learning

Teaching

I am teaching Inverse Problems together with Jonas Latz in Michaelmas term 2019/2020.

I also taught this course in Michaelmas terms 2018/2019 and 2019/2020.

Personal Web Page

NB: the list of publications below is generated automatically and 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 regularization by projection
A Aspri, Y Korolev, O Scherzer
– Inverse Problems
(2020)
36,
125009
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
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
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2019)
11603,
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
Design Optimization Under Uncertainty Using the Multipoint Approximation Method
YM Korolev, VV Toropov, S Shahpar
– 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2017
(2017)
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Research Groups

Cambridge Image Analysis
Cantab Capital Institute for the Mathematics of Information

Room

F2.07

Telephone

01223 337892