Maksim Rakhuba

Orcid: 0000-0001-7606-7322

Affiliations:
  • ETH Zurich, Seminar for Applied Mathematics, Switzerland
  • Skolkovo Institute of Science and Technology, Moscow, Russia


According to our database1, Maksim Rakhuba authored at least 19 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Tensor rank bounds and explicit QTT representations for the inverses of circulant matrices.
Numer. Linear Algebra Appl., May, 2023

Local convergence of alternating low-rank optimization methods with overrelaxation.
Numer. Linear Algebra Appl., May, 2023

2022
Quantized Tensor FEM for Multiscale Problems: Diffusion Problems in Two and Three Dimensions.
Multiscale Model. Simul., September, 2022

Automatic Differentiation for Riemannian Optimization on Low-Rank Matrix and Tensor-Train Manifolds.
SIAM J. Sci. Comput., 2022

Tensor rank bounds for point singularities in ℝ<sup>3</sup>.
Adv. Comput. Math., 2022

Towards Practical Control of Singular Values of Convolutional Layers.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Robust Alternating Direction Implicit Solver in Quantized Tensor Formats for a Three-Dimensional Elliptic PDE.
SIAM J. Sci. Comput., 2021

Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Spectral Tensor Train Parameterization of Deep Learning Layers.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Low rank tensor approximation of singularly perturbed partial differential equations in one dimension.
CoRR, 2020

T-Basis: a Compact Representation for Neural Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Low-rank Riemannian eigensolver for high-dimensional Hamiltonians.
J. Comput. Phys., 2019

2018
Jacobi-Davidson Method on Low-Rank Matrix Manifolds.
SIAM J. Sci. Comput., 2018

Alternating Least Squares as Moving Subspace Correction.
SIAM J. Numer. Anal., 2018

2017
Vico-Greengard-Ferrando quadratures in the tensor solver for integral equations.
CoRR, 2017

QTT-finite-element approximation for multiscale problems I: model problems in one dimension.
Adv. Comput. Math., 2017

2016
Grid-based electronic structure calculations: The tensor decomposition approach.
J. Comput. Phys., 2016

2015
Fast Multidimensional Convolution in Low-Rank Tensor Formats via Cross Approximation.
SIAM J. Sci. Comput., 2015

Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition.
Proceedings of the 3rd International Conference on Learning Representations, 2015


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