| Tensor-Train Decomposition IV Oseledets SIAM Journal on Scientific Computing 33, 2295-2317, 2011 | 2170 | 2011 |
| Speeding-up convolutional neural networks using fine-tuned cp-decomposition V Lebedev, Y Ganin, M Rakhuba, I Oseledets, V Lempitsky arXiv preprint arXiv:1412.6553, 2014 | 857 | 2014 |
| TT-cross approximation for multidimensional arrays I Oseledets, E Tyrtyshnikov Linear Algebra and its Applications 432 (1), 70-88, 2010 | 571 | 2010 |
| Breaking the curse of dimensionality, or how to use SVD in many dimensions IV Oseledets, EE Tyrtyshnikov SIAM Journal on Scientific Computing 31 (5), 3744-3759, 2009 | 560 | 2009 |
| Unifying time evolution and optimization with matrix product states J Haegeman, C Lubich, I Oseledets, B Vandereycken, F Verstraete Physical Review B 94 (16), 165116, 2016 | 481 | 2016 |
| Tensor networks for dimensionality reduction and large-scale optimization: Part 1 low-rank tensor decompositions A Cichocki, N Lee, I Oseledets, AH Phan, Q Zhao, DP Mandic Foundations and Trends® in Machine Learning 9 (4-5), 249-429, 2016 | 443* | 2016 |
| Approximation of Matrices Using Tensor Decomposition IV Oseledets SIAM Journal on Matrix Analysis and Applications 31, 2130-2145, 2010 | 252 | 2010 |
| How to find a good submatrix SA Goreinov, IV Oseledets, DV Savostyanov, EE Tyrtyshnikov, ... Matrix Methods: Theory, Algorithms And Applications: Dedicated to the Memory …, 2010 | 234 | 2010 |
| Tensor networks for dimensionality reduction and large-scale optimization: Part 2 applications and future perspectives A Cichocki, AH Phan, Q Zhao, N Lee, I Oseledets, M Sugiyama, ... Foundations and Trends® in Machine Learning 9 (6), 431-673, 2017 | 218 | 2017 |
| Tucker dimensionality reduction of three-dimensional arrays in linear time IV Oseledets, DV Savostianov, EE Tyrtyshnikov SIAM Journal on Matrix Analysis and Applications 30 (3), 939-956, 2008 | 217 | 2008 |
| Solution of linear systems and matrix inversion in the TT-format IV Oseledets, SV Dolgov SIAM Journal on Scientific Computing 34 (5), A2718-A2739, 2012 | 197 | 2012 |
| Neural networks for topology optimization I Sosnovik, I Oseledets Russian Journal of Numerical Analysis and Mathematical Modelling 34 (4), 215-223, 2019 | 184 | 2019 |
| Time integration of tensor trains C Lubich, IV Oseledets, B Vandereycken SIAM Journal on Numerical Analysis 53 (2), 917-941, 2015 | 150 | 2015 |
| Hyperbolic image embeddings V Khrulkov, L Mirvakhabova, E Ustinova, I Oseledets, V Lempitsky Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 132 | 2020 |
| A projector-splitting integrator for dynamical low-rank approximation C Lubich, IV Oseledets BIT Numerical Mathematics 54 (1), 171-188, 2014 | 128 | 2014 |
| Fast solution of multi-dimensional parabolic problems in the tensor train/quantized tensor train-format with initial application to the Fokker-Planck equation. SV Dolgov, BN Khoromskij, IV Oseledets SIAM Journal on Scientific Computing 34 (6), A3016–A3038, 2012 | 126* | 2012 |
| Enabling high-dimensional hierarchical uncertainty quantification by ANOVA and tensor-train decomposition Z Zhang, X Yang, IV Oseledets, GE Karniadakis, L Daniel IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2014 | 122 | 2014 |
| Fast adaptive interpolation of multi-dimensional arrays in tensor train format D Savostyanov, I Oseledets The 2011 International Workshop on Multidimensional (nD) Systems, 1-8, 2011 | 120 | 2011 |
| Tensor methods and recommender systems E Frolov, I Oseledets Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 7 (3 …, 2017 | 116 | 2017 |
| Exponential machines A Novikov, M Trofimov, I Oseledets Bulletin of the Polish Academy of Sciences: Technical Sciences, 789-797-789-797, 2018 | 113 | 2018 |
Eugene TyrtyshnikovMarchuk Institute of Numerical Mathematics of Russian Academy of SciencesVerified email at inm.ras.ru
