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ORCIDYury Korolev
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2020 – today
- 2023
[i13]Simon R. Arridge, Andreas Hauptmann, Yury Korolev:
Inverse Problems with Learned Forward Operators. CoRR abs/2311.12528 (2023)- 2022
- [j3]Bogdan Toader
, Jérôme Boulanger, Yury Korolev, Martin O. Lenz, James Manton, Carola-Bibiane Schönlieb, Leila Muresan:
Image Reconstruction in Light-Sheet Microscopy: Spatially Varying Deconvolution and Mixed Noise. J. Math. Imaging Vis. 64(9): 968-992 (2022) - [i12]Tamara G. Grossmann, Sören Dittmer, Yury Korolev, Carola-Bibiane Schönlieb:
Unsupervised Learning of the Total Variation Flow. CoRR abs/2206.04406 (2022) - 2021
- [i11]Andrea Aspri, Leon Frischauf, Yury Korolev, Otmar Scherzer:
Data driven reconstruction using frames and Riesz bases. CoRR abs/2103.05718 (2021) - [i10]Yury Korolev:
Two-layer neural networks with values in a Banach space. CoRR abs/2105.02095 (2021) - [i9]Bogdan Toader, Jérôme Boulanger, Yury Korolev, Martin O. Lenz, James Manton, Carola-Bibiane Schönlieb, Leila Muresan:
Image reconstruction in light-sheet microscopy: spatially varying deconvolution and mixed noise. CoRR abs/2108.03642 (2021) - 2020
- [c5]Tamara G. Grossmann, Yury Korolev, Guy Gilboa, Carola B. Schönlieb:
Deeply Learned Spectral Total Variation Decomposition. NeurIPS 2020 - [i8]Leon Bungert, Martin Burger, Yury Korolev, Carola-Bibiane Schoenlieb:
Variational regularisation for inverse problems with imperfect forward operators and general noise models. CoRR abs/2005.14131 (2020) - [i7]Tamara G. Grossmann, Yury Korolev, Guy Gilboa, Carola-Bibiane Schönlieb:
Deeply Learned Spectral Total Variation Decomposition. CoRR abs/2006.10004 (2020)
2010 – 2019
- 2019
- [c4]Martin Burger, Yury Korolev, Carola-Bibiane Schönlieb, Christiane Stollenwerk:
A Total Variation Based Regularizer Promoting Piecewise-Lipschitz Reconstructions. SSVM 2019: 485-497 - [i6]Martin Burger, Yury Korolev, Carola-Bibiane Schönlieb, Christiane Stollenwerk:
A total variation based regularizer promoting piecewise-Lipschitz reconstructions. CoRR abs/1903.05079 (2019) - [i5]Andrea Aspri, Yury Korolev, Otmar Scherzer:
Data driven regularization by projection. CoRR abs/1909.11570 (2019) - [i4]Martin Burger, Yury Korolev, Simone Parisotto, Carola-Bibiane Schönlieb:
Total Variation Regularisation with Spatially Variable Lipschitz Constraints. CoRR abs/1912.02768 (2019) - 2018
- [j2]Yury Korolev, Jan Lellmann:
Image Reconstruction with Imperfect Forward Models and Applications in Deblurring. SIAM J. Imaging Sci. 11(1): 197-218 (2018) - [i3]Martin Burger, Yury Korolev, Julian Rasch:
Convergence rates and structure of solutions of inverse problems with imperfect forward models. CoRR abs/1806.10038 (2018) - 2017
- [i2]Yury Korolev, Jan Lellmann:
Image reconstruction with imperfect forward models and applications in deblurring. CoRR abs/1708.01244 (2017) - 2016
- [j1]Artur Gorokh, Yury Korolev, Tuomo Valkonen:
Diffusion Tensor Imaging with Deterministic Error Bounds. J. Math. Imaging Vis. 56(1): 137-157 (2016) - 2015
- [i1]Artur Gorokh, Yury Korolev, Tuomo Valkonen:
Diffusion tensor imaging with deterministic error bounds. CoRR abs/1509.02223 (2015) - 2012
- [c3]Yury Korolev, Kirill Yudenok:
Mediator based approach for smart spaces integration. FRUCT 2012: 78-87 - [c2]Yury Korolev, Dmitry G. Korzun, Ivan V. Galov:
Smart Space Applications Integration: A Mediation Formalism and Design for Smart-M3. NEW2AN 2012: 128-139 - 2011
- [c1]Dmitry G. Korzun, Ivan V. Galov, Alexey M. Kashevnik, Nikolay Shilov, Kirill Krinkin, Yury Korolev:
Integration of Smart-M3 Applications: Blogging in Smart Conference. NEW2AN 2011: 51-62
Coauthor Index
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