| Tensor-Train Decomposition IV Oseledets SIAM Journal on Scientific Computing 33, 2295-2317, 2011 | 3112 | 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 | 1110 | 2014 |
| 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 | 777 | 2016 |
| TT-cross approximation for multidimensional arrays I Oseledets, E Tyrtyshnikov Linear Algebra and its Applications 432 (1), 70-88, 2010 | 764 | 2010 |
| 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 | 651* | 2016 |
| 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 | 641 | 2009 |
| 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 | 346 | 2020 |
| Neural networks for topology optimization I Sosnovik, I Oseledets Russian Journal of Numerical Analysis and Mathematical Modelling 34 (4), 215-223, 2019 | 341 | 2019 |
| 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 | 308 | 2017 |
| 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 | 305 | 2010 |
| Approximation of Matrices Using Tensor Decomposition IV Oseledets SIAM Journal on Matrix Analysis and Applications 31, 2130-2145, 2010 | 293 | 2010 |
| 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 | 236 | 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 | 235 | 2012 |
| Time integration of tensor trains C Lubich, IV Oseledets, B Vandereycken SIAM Journal on Numerical Analysis 53 (2), 917-941, 2015 | 218 | 2015 |
| A projector-splitting integrator for dynamical low-rank approximation C Lubich, IV Oseledets BIT Numerical Mathematics 54 (1), 171-188, 2014 | 216 | 2014 |
| Stable low-rank tensor decomposition for compression of convolutional neural network AH Phan, K Sobolev, K Sozykin, D Ermilov, J Gusak, P Tichavský, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 182 | 2020 |
| Exponential machines A Novikov, M Trofimov, I Oseledets arXiv preprint arXiv:1605.03795, 2016 | 167 | 2016 |
| 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 | 166* | 2012 |
| Tensor methods and recommender systems E Frolov, I Oseledets Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 7 (3 …, 2017 | 164 | 2017 |
| Art of singular vectors and universal adversarial perturbations V Khrulkov, I Oseledets Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 162 | 2018 |
Eugene TyrtyshnikovMarchuk Institute of Numerical Mathematics of Russian Academy of Sciences確認したメール アドレス: inm.ras.ru
