Yury Korolev

According to our database, Yury Korolev authored at least 21 papers between 2011 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Approximation of Maximally Monotone Operators : A Graph Convergence Perspective.

Takashi Furuya, Yury Korolev, Takaharu Yaguchi

CoRR, May, 2026

Large Data Limits of Laplace Learning for Gaussian Measure Data in Infinite Dimensions.

Zhengang Zhong, Yury Korolev, Matthew Thorpe

CoRR, January, 2026

A Lipschitz Spaces View of Infinitely Wide Shallow Neural Networks.

Francesca Bartolucci, Marcello Carioni, José A. Iglesias, Yury Korolev, Emanuele Naldi, Stefano Vigogna

SIAM J. Math. Anal., 2026

2025

A sparse optimization approach to infinite infimal convolution regularization.

Kristian Bredies, Marcello Carioni, Martin Holler, Yury Korolev, Carola-Bibiane Schönlieb

Numerische Mathematik, February, 2025

Fast Inexact Bilevel Optimization for Analytical Deep Image Priors.

Mohammad Sadegh Salehi, Tatiana A. Bubba, Yury Korolev

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2025

2023

Inverse Problems with Learned Forward Operators.

Simon R. Arridge, Andreas Hauptmann, Yury Korolev

CoRR, 2023

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

Unsupervised Learning of the Total Variation Flow.

Tamara G. Grossmann, Sören Dittmer, Yury Korolev, Carola-Bibiane Schönlieb

CoRR, 2022

2021

Two-layer neural networks with values in a Banach space.

Yury Korolev

CoRR, 2021

Data driven reconstruction using frames and Riesz bases.

Andrea Aspri, Leon Frischauf, Yury Korolev, Otmar Scherzer

CoRR, 2021

2020

Variational regularisation for inverse problems with imperfect forward operators and general noise models.

Leon Bungert, Martin Burger, Yury Korolev, Carola-Bibiane Schoenlieb

CoRR, 2020

Deeply Learned Spectral Total Variation Decomposition.

Tamara G. Grossmann, Yury Korolev, Guy Gilboa, Carola B. Schönlieb

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Total Variation Regularisation with Spatially Variable Lipschitz Constraints.

Martin Burger, Yury Korolev, Simone Parisotto, Carola-Bibiane Schönlieb

CoRR, 2019

Data driven regularization by projection.

Andrea Aspri, Yury Korolev, Otmar Scherzer

CoRR, 2019

A Total Variation Based Regularizer Promoting Piecewise-Lipschitz Reconstructions.

Martin Burger, Yury Korolev, Carola-Bibiane Schönlieb, Christiane Stollenwerk

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

2018

Image Reconstruction with Imperfect Forward Models and Applications in Deblurring.

Yury Korolev, Jan Lellmann

SIAM J. Imaging Sci., 2018

Convergence rates and structure of solutions of inverse problems with imperfect forward models.

Martin Burger, Yury Korolev, Julian Rasch

CoRR, 2018

2016

Diffusion Tensor Imaging with Deterministic Error Bounds.

Artur Gorokh, Yury Korolev, Tuomo Valkonen

J. Math. Imaging Vis., 2016

2012

Smart Space Applications Integration: A Mediation Formalism and Design for Smart-M3.

Yury Korolev, Dmitry G. Korzun, Ivan V. Galov

Proceedings of the Internet of Things, Smart Spaces, and Next Generation Networking, 2012

Mediator based approach for smart spaces integration.

Yury Korolev, Kirill Yudenok

Proceedings of the 11th Conference of Open Innovations Association FRUCT, 2012

2011

Integration of Smart-M3 Applications: Blogging in Smart Conference.

Dmitry G. Korzun, Ivan V. Galov, Alexey M. Kashevnik, Nikolay Shilov, Kirill Krinkin, Yury Korolev

Proceedings of the Smart Spaces and Next Generation Wired/Wireless Networking, 2011