Maxim Rakhuba
Maxim Rakhuba
Postdoctoral Fellow, ETH Zurich
Verified email at sam.math.ethz.ch
TitleCited byYear
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
2872014
Calculating vibrational spectra of molecules using tensor train decomposition
M Rakhuba, I Oseledets
The Journal of chemical physics 145 (12), 124101, 2016
252016
Fast multidimensional convolution in low-rank tensor formats via cross approximation
MV Rakhuba, IV Oseledets
SIAM Journal on Scientific Computing 37 (2), A565-A582, 2015
24*2015
Grid-based electronic structure calculations: The tensor decomposition approach
MV Rakhuba, IV Oseledets
Journal of Computational Physics 312, 19-30, 2016
122016
QTT-finite-element approximation for multiscale problems I: model problems in one dimension
V Kazeev, I Oseledets, M Rakhuba, C Schwab
Advances in Computational Mathematics 43 (2), 411-442, 2017
9*2017
Alternating least squares as moving subspace correction
IV Oseledets, MV Rakhuba, A Uschmajew
SIAM Journal on Numerical Analysis 56 (6), 3459-3479, 2018
22018
Jacobi--Davidson Method on Low-Rank Matrix Manifolds
MV Rakhuba, IV Oseledets
SIAM Journal on Scientific Computing 40 (2), A1149-A1170, 2018
22018
Low-rank Riemannian eigensolver for high-dimensional Hamiltonians
M Rakhuba, A Novikov, I Oseledets
Journal of Computational Physics 396, 718-737, 2019
12019
Robust discretization in quantized tensor train format for elliptic problems in two dimensions
AV Chertkov, IV Oseledets, MV Rakhuba
arXiv preprint arXiv:1612.01166, 2016
12016
Speeding-up convolutional neural networks using fine-tuned cp-decomposition
M Rakhuba, I Oseledets, V Lempitsky, V Lebedev, Y Ganin
Computer Science, 2014
12014
Robust solver in a quantized tensor format for three-dimensional elliptic problems
MV Rakhuba
SAM Research Report 2019, 2019
2019
Tensor methods for high-dimensional eigenvalue problems
M Rakhuba
Numerical Analysis of Complex PDE Models in the Sciences, Workshop 1 …, 2018
2018
Low-rank Riemannian optimization for high-dimensional eigenvalue problems
M Rakhuba
Swiss Numerics Day 2018, ETH Zurich, 2018
2018
Vico-Greengard-Ferrando quadratures in the tensor solver for integral equations
V Khrulkov, M Rakhuba, I Oseledets
2017 Progress In Electromagnetics Research Symposium-Spring (PIERS), 2334-2339, 2017
2017
The study of tsunami source reconstruction problem
VI Agoshkov, MV Rakhuba
Russian Journal of Numerical Analysis and Mathematical Modelling 28 (1), 1-12, 2013
2013
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Articles 1–15