Integration of Smart-M3 Applications: Blogging in Smart Conference. - Dmitry G. Korzun; Ivan V. Galov; Alexey M. Kashevnik; Nikolay Shilov 001; Kirill Krinkin; Yury Korolev (NEW2AN, 2011)

Mediator based approach for smart spaces integration. - Yury Korolev; Kirill Yudenok (FRUCT, 2012)

Smart Space Applications Integration: A Mediation Formalism and Design for Smart-M3. - Yury Korolev; Dmitry G. Korzun; Ivan V. Galov (NEW2AN, 2012)

Diffusion Tensor Imaging with Deterministic Error Bounds. - Artur Gorokh; Yury Korolev; Tuomo Valkonen (J. Math. Imaging Vis., 2016)

Convergence rates and structure of solutions of inverse problems with imperfect forward models. - Martin Burger 001; Yury Korolev; Julian Rasch (CoRR, 2018)

Image Reconstruction with Imperfect Forward Models and Applications in Deblurring. - Yury Korolev; Jan Lellmann (SIAM J. Imaging Sci., 2018)

A Total Variation Based Regularizer Promoting Piecewise-Lipschitz Reconstructions. - Martin Burger 001; Yury Korolev; Carola-Bibiane Schönlieb; Christiane Stollenwerk (SSVM, 2019)

Data driven regularization by projection. - Andrea Aspri; Yury Korolev; Otmar Scherzer (CoRR, 2019)

Total Variation Regularisation with Spatially Variable Lipschitz Constraints. - Martin Burger 001; Yury Korolev; Simone Parisotto; Carola-Bibiane Schönlieb (CoRR, 2019)

Deeply Learned Spectral Total Variation Decomposition. - Tamara G. Grossmann; Yury Korolev; Guy Gilboa; Carola B. Schönlieb (NeurIPS, 2020)

Variational regularisation for inverse problems with imperfect forward operators and general noise models. - Leon Bungert; Martin Burger 001; Yury Korolev; Carola-Bibiane Schoenlieb (CoRR, 2020)

Data driven reconstruction using frames and Riesz bases. - Andrea Aspri; Leon Frischauf; Yury Korolev; Otmar Scherzer (CoRR, 2021)

Two-layer neural networks with values in a Banach space. - Yury Korolev (CoRR, 2021)

Unsupervised Learning of the Total Variation Flow. - Tamara G. Grossmann; Sören Dittmer; Yury Korolev; Carola-Bibiane Schönlieb (CoRR, 2022)

Image Reconstruction in Light-Sheet Microscopy: Spatially Varying Deconvolution and Mixed Noise. - Bogdan Toader; Jérôme Boulanger; Yury Korolev; Martin O. Lenz; James Manton; Carola-Bibiane Schönlieb; Leila Muresan (J. Math. Imaging Vis., 2022)

Inverse Problems with Learned Forward Operators. - Simon R. Arridge; Andreas Hauptmann; Yury Korolev (CoRR, 2023)

A Lipschitz spaces view of infinitely wide shallow neural networks. - Francesca Bartolucci; Marcello Carioni; José A. Iglesias 002; Yury Korolev; Emanuele Naldi; Stefano Vigogna (CoRR, 2024)

Fast Inexact Bilevel Optimization for Analytical Deep Image Priors. - Mohammad Sadegh Salehi; Tatiana A. Bubba; Yury Korolev (SSVM (1), 2025)

A sparse optimization approach to infinite infimal convolution regularization. - Kristian Bredies; Marcello Carioni; Martin Holler; Yury Korolev; Carola-Bibiane Schönlieb (Numerische Mathematik, 2025)