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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

Variational regularisation for inverse problems with imperfect forward operators and general noise models
L Bungert, M Burger, Y Korolev, CB Schönlieb
– CoRR
(2020)
abs/2005.14131,
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
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,
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)
Diffusion Tensor Imaging with Deterministic Error Bounds
A Gorokh, Y Korolev, T Valkonen
– Journal of Mathematical Imaging and Vision
(2016)
56,
137
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Research Groups

Cambridge Image Analysis
Cantab Capital Institute for the Mathematics of Information

Room

F2.07

Telephone

01223 337892