2026 Ivan V. Oseledets: Mathematics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mathematics	49	1125	957	8	4	251	13173

Research.com Recognitions

2026 - Research.com Mathematics in Russia Leader Award
2025 - Research.com Mathematics in Russia Leader Award

Overview

Ivan V. Oseledets is affiliated with the Skolkovo Institute of Science and Technology in the Russian Federation. Their research primarily focuses on areas within Computer Science, with a total of 263 publications contributing to the field.

Their main subfields of study include:

Artificial Intelligence
Computer Vision and Pattern Recognition
Computational Mathematics
Computational Theory and Mathematics
Electrical and Electronic Engineering

In terms of specific research topics, Ivan V. Oseledets has made contributions in:

Tensor decomposition and applications
Neural Networks and Applications
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Model Reduction and Neural Networks
Matrix Theory and Algorithms
Remote Sensing in Agriculture

Their recent papers include a variety of subjects and publication venues:

"eco2AI: Carbon Emissions Tracking of Machine Learning Models as the First Step Towards Sustainable AI," 2022, Doklady Mathematics
"Hyperbolic Vision Transformers: Combining Improvements in Metric Learning," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
"Microstructure synthesis using style-based generative adversarial networks," 2020, Physical review. E
"Spectral Neural Operators," 2023, Doklady Mathematics
"Synergy between Artificial Intelligence and Hyperspectral Imagining-A Review," 2024, Technologies

Ivan V. Oseledets frequently publishes in the following venues:

arXiv (Cornell University)
IEEE Access
Computational Mathematics and Mathematical Physics
SSRN Electronic Journal
Doklady Mathematics

The scientist collaborates extensively with several co-authors, including:

Andrzej Cichocki
Anh Huy Phan
Andrei Chertkov
Alexandr Katrutsa
Svetlana Illarionova

Best Publications

Tensor-Train Decomposition

I. V. Oseledets

2866
Citations
Unifying time evolution and optimization with matrix product states

Jutho Haegeman;Christian Lubich;Ivan Oseledets;Ivan Oseledets;Bart Vandereycken

813
Citations
TT-cross approximation for multidimensional arrays

Ivan Oseledets;Eugene Tyrtyshnikov

697
Citations
Breaking the Curse of Dimensionality, Or How to Use SVD in Many Dimensions

I. V. Oseledets;E. E. Tyrtyshnikov

612
Citations
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition

Vadim Lebedev;Vadim Lebedev;Yaroslav Ganin;Maksim Rakhuba;Maksim Rakhuba;Ivan Oseledets

565
Citations
Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1.

Andrzej Cichocki;Namgil Lee;Ivan V. Oseledets;Anh Huy Phan

388
Citations
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions

Andrzej Cichocki;Namgil Lee;Ivan Oseledets;Anh-Huy Phan

304
Citations
How to find a good submatrix

S. Goreinov;I. Oseledets;D. Savostyanov;E. Tyrtyshnikov

289
Citations
Time Integration of Tensor Trains

Christian Lubich;Ivan V. Oseledets;Bart Vandereycken

284
Citations
Approximation of 2d˟2d Matrices Using Tensor Decomposition

Unknown

254
Citations
Neural networks for topology optimization

Ivan Sosnovik;Ivan V. Oseledets

253
Citations
Hyperbolic Image Embeddings

Valentin Khrulkov;Leyla Mirvakhabova;Evgeniya Ustinova;Ivan Oseledets

236
Citations
Tucker Dimensionality Reduction of Three-Dimensional Arrays in Linear Time

I. V. Oseledets;D. V. Savostianov;E. E. Tyrtyshnikov

235
Citations
Solution of Linear Systems and Matrix Inversion in the TT-Format

Ivan V. Oseledets;Sergey V. Dolgov

232
Citations
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives

A. Cichocki;A-H. Phan;Q. Zhao;N. Lee

210
Citations
A projector-splitting integrator for dynamical low-rank approximation

Christian Lubich;Ivan V. Oseledets;Ivan V. Oseledets

191
Citations
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives

Andrzej Cichocki;Namgil Lee;Ivan Oseledets

178
Citations
Fast adaptive interpolation of multi-dimensional arrays in tensor train format

Dmitry Savostyanov;Ivan Oseledets

134
Citations
Constructive Representation of Functions in Low-Rank Tensor Formats

I. V. Oseledets

129
Citations
Fast Solution of Parabolic Problems in the Tensor Train/Quantized Tensor Train Format with Initial Application to the Fokker--Planck Equation

Sergey V. Dolgov;Boris N. Khoromskij;Ivan V. Oseledets

128
Citations
Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition

Zheng Zhang;Xiu Yang;Ivan V. Oseledets;George Em Karniadakis

124
Citations
Tensor methods and recommender systems

Evgeny Frolov;Ivan V. Oseledets;Ivan V. Oseledets

122
Citations
Exponential Machines

Alexander Novikov;Mikhail Trofimov;Ivan Oseledets

96
Citations
Art of singular vectors and universal adversarial perturbations

Valentin Khrulkov;Ivan Oseledets

9
Citations

Frequent Co-Authors

Eugene E. Tyrtyshnikov Russian Academy of Sciences

Andrzej Cichocki Systems Research Institute

Boris N. Khoromskij Max Planck Institute for Mathematics in the Sciences

Denis Zorin New York University

Christian Lubich University of Tübingen

Pavel Serdyukov Yandex (Russia)

Victor Lempitsky Samsung (South Korea)

Alexander M. Bronstein Technion – Israel Institute of Technology

Luca Daniel MIT

Danilo P. Mandic Imperial College London

External Links

Personal website of Ivan V. Oseledets Google Scholar page

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