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Articles by
Maxim Rakhuba
Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers
18 September 2024 by
Ekaterina Grishina
and
others
Machine Learning
Dimension-free Structured Covariance Estimation
15 June 2024 by
Nikita Puchkin
and
Maxim Rakhuba
Statistics Theory
,
Signal Processing
Group and Shuffle: Efficient Structured Orthogonal Parametrization
14 June 2024 by
Mikhail Gorbunov
and
others
Machine Learning
,
Artificial Intelligence
Towards Practical Control of Singular Values of Convolutional Layers
24 November 2022 by
Alexandra Senderovich
and
others
Machine Learning
,
Computer Vision and Pattern Recognition
Tensor rank bounds and explicit QTT representations for the inverses of circulant matrices
9 May 2022 by
Lev Vysotsky
and
Maxim Rakhuba
Numerical Analysis
Automatic differentiation for Riemannian optimization on low-rank matrix and tensor-train manifolds
23 October 2021 by
Alexander Novikov
and
others
Optimization and Control
,
Machine Learning
Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation
30 August 2021 by
Mikhail Usvyatsov
and
others
Computer Vision and Pattern Recognition
,
Machine Learning
Spectral Tensor Train Parameterization of Deep Learning Layers
13 July 2021 by
Anton Obukhov
and
others
Machine Learning
,
Computer Vision and Pattern Recognition
T-Basis: a Compact Representation for Neural Networks
13 July 2021 by
Anton Obukhov
and
others
Machine Learning
,
Computer Vision and Pattern Recognition
Low rank tensor approximation of singularly perturbed partial differential equations in one dimension
14 October 2020 by
Carlo Marcati
and
others
Numerical Analysis
Quantized tensor FEM for multiscale problems: diffusion problems in two and three dimensions
2 June 2020 by
V. Kazeev
and
others
Numerical Analysis
Tensor Rank bounds for Point Singularities in
\mathbb{R}^3
17 December 2019 by
Carlo Marcati
and
others
Numerical Analysis
Alternating least squares as moving subspace correction
11 January 2019 by
Ivan Oseledets
and
others
Numerical Analysis
,
Optimization and Control
Low-rank Riemannian eigensolver for high-dimensional Hamiltonians
27 November 2018 by
Maxim Rakhuba
and
others
Numerical Analysis
Vico-Greengard-Ferrando quadratures in the tensor solver for integral equations
5 April 2017 by
Valentin Khrulkov
and
others
Numerical Analysis
Jacobi-Davidson method on low-rank matrix manifolds
27 March 2017 by
Maxim Rakhuba
and
Ivan Oseledets
Numerical Analysis
Calculating vibrational spectra of molecules using tensor train decomposition
6 September 2016 by
Maxim Rakhuba
and
Ivan Oseledets
Numerical Analysis
Grid-based electronic structure calculations: the tensor decomposition approach
30 August 2015 by
Maxim Rakhuba
and
Ivan Oseledets
Numerical Analysis