| 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 | 18 | 2019 |
| 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 | 13 | 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 | 12 | 2012 |
| Image reconstruction with imperfect forward models and applications in deblurring Y Korolev, J Lellmann SIAM Journal on Imaging Sciences 11 (1), 197-218, 2018 | 10 | 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 | 10 | 2015 |
| Making use of a partial order in solving inverse problems Y Korolev, A Yagola Inverse Problems 29 (9), 095012, 2013 | 10 | 2013 |
| Error estimation in linear inverse problems with prior information YM Korolev, AG Yagola Numerical Methods and Programming (Vychislitel'nye Metody i Programmirovanie …, 2012 | 10* | 2012 |
| Data driven regularization by projection A Aspri, Y Korolev, O Scherzer Inverse Problems 36 (12), 125009, 2020 | 8 | 2020 |
| 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 | 8 | 2020 |
| Making use of a partial order in solving inverse problems: II. Y Korolev Inverse Problems 30 (8), 085003, 2014 | 7 | 2014 |
| 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 | 6 | 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 | 5 | 2017 |
| A total variation based regularizer promoting piecewise-Lipschitz reconstructions M Burger, Y Korolev, CB Schönlieb, C Stollenwerk International Conference on Scale Space and Variational Methods in Computer …, 2019 | 4 | 2019 |
| Two-layer neural networks with values in a Banach space Y Korolev arXiv preprint arXiv:2105.02095, 2021 | 3 | 2021 |
| Deeply learned spectral total variation decomposition TG Grossmann, Y Korolev, G Gilboa, C Schoenlieb Advances in Neural Information Processing Systems 33, 12115-12126, 2020 | 3 | 2020 |
| Automatic Optimizer vs Human Optimizer for Low-Order Jet Noise Modelling Y Korolev, SA Karabasov, V Toropov 21st AIAA/CEAS Aeroacoustics Conference, 2215, 2015 | 3 | 2015 |
| Error estimation in ill-posed problems in special cases AG Yagola, YM Korolev Applied Inverse Problems, 155-164, 2013 | 3 | 2013 |
| Diffusion tensor imaging with deterministic error bounds A Gorokh, Y Korolev, T Valkonen Journal of Mathematical Imaging and Vision 56 (1), 137-157, 2016 | 2 | 2016 |
| 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, 1-25, 2022 | 1 | 2022 |
| Eigenvalue Problems in : Optimality Conditions, Duality, and Relations with Optimal Transport L Bungert, Y Korolev arXiv preprint arXiv:2107.12117, 2021 | 1 | 2021 |
Yagola AnatolyDepartment of Mathematics, Faculty of Physics, Lomonosov Moscow State UniversityVerified email at physics.msu.ru
