Yury Korolev

26 papers A* 1Misc 1Journal 20Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Large Data Limits of Laplace Learning for Gaussian Measure Data in Infinite Dimensions.
CoRR
Zhengang Zhong, Yury Korolev, Matthew Thorpe
2025 J jnl
A sparse optimization approach to infinite infimal convolution regularization.
Numerische Mathematik
Kristian Bredies, Marcello Carioni, Martin Holler, Yury Korolev, Carola-Bibiane Schönlieb
2025 — conf
Fast Inexact Bilevel Optimization for Analytical Deep Image Priors.
SSVM (1)
Mohammad Sadegh Salehi, Tatiana A. Bubba, Yury Korolev
2025 J jnl
Fast Inexact Bilevel Optimization for Analytical Deep Image Priors.
CoRR
Mohammad Sadegh Salehi, Tatiana A. Bubba, Yury Korolev
2024 J jnl
A Lipschitz spaces view of infinitely wide shallow neural networks.
CoRR
Francesca Bartolucci, Marcello Carioni, José A. Iglesias, Yury Korolev, Emanuele Naldi, Stefano Vigogna
2023 J jnl
Inverse Problems with Learned Forward Operators.
CoRR
Simon R. Arridge, Andreas Hauptmann, Yury Korolev
2022 J jnl
Image Reconstruction in Light-Sheet Microscopy: Spatially Varying Deconvolution and Mixed Noise.
J. Math. Imaging Vis.
Bogdan Toader, Jérôme Boulanger, Yury Korolev, Martin O. Lenz, James Manton, Carola-Bibiane Schönlieb, Leila Muresan
2022 J jnl
Unsupervised Learning of the Total Variation Flow.
CoRR
Tamara G. Grossmann, Sören Dittmer, Yury Korolev, Carola-Bibiane Schönlieb
2021 J jnl
Data driven reconstruction using frames and Riesz bases.
CoRR
Andrea Aspri, Leon Frischauf, Yury Korolev, Otmar Scherzer
2021 J jnl
Image reconstruction in light-sheet microscopy: spatially varying deconvolution and mixed noise.
CoRR
Bogdan Toader, Jérôme Boulanger, Yury Korolev, Martin O. Lenz, James Manton, Carola-Bibiane Schönlieb, Leila Muresan
2021 J jnl
Two-layer neural networks with values in a Banach space.
CoRR
Yury Korolev
2020 A* conf
Deeply Learned Spectral Total Variation Decomposition.
NeurIPS
Tamara G. Grossmann, Yury Korolev, Guy Gilboa, Carola B. Schönlieb
2020 J jnl
Deeply Learned Spectral Total Variation Decomposition.
CoRR
Tamara G. Grossmann, Yury Korolev, Guy Gilboa, Carola-Bibiane Schönlieb
2020 J jnl
Variational regularisation for inverse problems with imperfect forward operators and general noise models.
CoRR
Leon Bungert, Martin Burger, Yury Korolev, Carola-Bibiane Schoenlieb
2019 — conf
A Total Variation Based Regularizer Promoting Piecewise-Lipschitz Reconstructions.
SSVM
Martin Burger, Yury Korolev, Carola-Bibiane Schönlieb, Christiane Stollenwerk
2019 J jnl
A total variation based regularizer promoting piecewise-Lipschitz reconstructions.
CoRR
Martin Burger, Yury Korolev, Carola-Bibiane Schönlieb, Christiane Stollenwerk
2019 J jnl
Data driven regularization by projection.
CoRR
Andrea Aspri, Yury Korolev, Otmar Scherzer
2019 J jnl
Total Variation Regularisation with Spatially Variable Lipschitz Constraints.
CoRR
Martin Burger, Yury Korolev, Simone Parisotto, Carola-Bibiane Schönlieb
2018 J jnl
Convergence rates and structure of solutions of inverse problems with imperfect forward models.
CoRR
Martin Burger, Yury Korolev, Julian Rasch
2018 J jnl
Image Reconstruction with Imperfect Forward Models and Applications in Deblurring.
SIAM J. Imaging Sci.
Yury Korolev, Jan Lellmann
2017 J jnl
Image reconstruction with imperfect forward models and applications in deblurring.
CoRR
Yury Korolev, Jan Lellmann
2016 J jnl
Diffusion Tensor Imaging with Deterministic Error Bounds.
J. Math. Imaging Vis.
Artur Gorokh, Yury Korolev, Tuomo Valkonen
2015 J jnl
Diffusion tensor imaging with deterministic error bounds.
CoRR
Artur Gorokh, Yury Korolev, Tuomo Valkonen
2012 Misc conf
Mediator based approach for smart spaces integration.
FRUCT
Yury Korolev, Kirill Yudenok
2012 — conf
Smart Space Applications Integration: A Mediation Formalism and Design for Smart-M3.
NEW2AN
Yury Korolev, Dmitry G. Korzun, Ivan V. Galov
2011 — conf
Integration of Smart-M3 Applications: Blogging in Smart Conference.
NEW2AN
Dmitry G. Korzun, Ivan V. Galov, Alexey M. Kashevnik, Nikolay Shilov, Kirill Krinkin, Yury Korolev