Sufficient recovery conditions for noise-buried low rank tensors
Fuente:
arXiv
Saved in:
| Main Authors: | Petrov, Sergey, Zamarashkin, Nikolai |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Tensor train completion: local recovery guarantees via Riemannian optimization
by: Budzinskiy, Stanislav, et al.
Published: (2021)
by: Budzinskiy, Stanislav, et al.
Published: (2021)
Quaternion tensor low rank Quaternion tensor low-rank approximation using a family of non-convex norms
by: Zahir, Alaeddine, et al.
Published: (2024)
by: Zahir, Alaeddine, et al.
Published: (2024)
A homogeneous geometry of low-rank tensors
by: Jacobsson, Simon
Published: (2025)
by: Jacobsson, Simon
Published: (2025)
Parametric kernel low-rank approximations using tensor train decomposition
by: Khan, Abraham, et al.
Published: (2024)
by: Khan, Abraham, et al.
Published: (2024)
The average condition number of most tensor rank decomposition problems is infinite
by: Beltrán, Carlos, et al.
Published: (2019)
by: Beltrán, Carlos, et al.
Published: (2019)
Time integration of symmetric and anti-symmetric low-rank matrices and Tucker tensors
by: Ceruti, Gianluca, et al.
Published: (2019)
by: Ceruti, Gianluca, et al.
Published: (2019)
Time integration of quantized tensor trains using the interpolative dynamical low-rank approximation
by: Ye, Erika, et al.
Published: (2025)
by: Ye, Erika, et al.
Published: (2025)
The low-rank tensor-train finite difference method for three-dimensional parabolic equations
by: Manzini, Gianmarco, et al.
Published: (2025)
by: Manzini, Gianmarco, et al.
Published: (2025)
CP decomposition and low-rank approximation of antisymmetric tensors
by: Begovic, Erna, et al.
Published: (2022)
by: Begovic, Erna, et al.
Published: (2022)
Quasioptimal alternating projections and their use in low-rank approximation of matrices and tensors
by: Budzinskiy, Stanislav
Published: (2023)
by: Budzinskiy, Stanislav
Published: (2023)
Restarting the Numerical Flow Iteration through low rank tensor approximations
by: Wilhelm, Rostislav-Paul, et al.
Published: (2025)
by: Wilhelm, Rostislav-Paul, et al.
Published: (2025)
Reduced order computation of 2D elastodynamic Green's functions in layered soil using a low-rank tensor approximation
by: Farooq, Zainab, et al.
Published: (2026)
by: Farooq, Zainab, et al.
Published: (2026)
A low-rank solver for the Stokes-Darcy model with random hydraulic conductivity and Beavers-Joseph condition
by: Zhu, Yujun, et al.
Published: (2025)
by: Zhu, Yujun, et al.
Published: (2025)
Sampling recovery on function classes with a structural condition
by: Temlyakov, V.
Published: (2024)
by: Temlyakov, V.
Published: (2024)
Fast adaptive tubal rank-revealing algorithm for t-product based tensor approximation
by: Liu, Qiaohua, et al.
Published: (2025)
by: Liu, Qiaohua, et al.
Published: (2025)
Randomized strong rank-revealing QR for column subset selection and low-rank matrix approximation
by: Grigori, Laura, et al.
Published: (2025)
by: Grigori, Laura, et al.
Published: (2025)
Randomized low-rank approximation of parameter-dependent matrices
by: Kressner, Daniel, et al.
Published: (2023)
by: Kressner, Daniel, et al.
Published: (2023)
A low-rank solver for conforming multipatch Isogeometric Analysis
by: Montardini, Monica, et al.
Published: (2023)
by: Montardini, Monica, et al.
Published: (2023)
Matrices over a Hilbert space and their low-rank approximation
by: Budzinskiy, Stanislav
Published: (2025)
by: Budzinskiy, Stanislav
Published: (2025)
Dynamical low-rank approximation for the semiclassical Schrodinger equation with uncertainties
by: Liu, Liu, et al.
Published: (2026)
by: Liu, Liu, et al.
Published: (2026)
Inexact subspace projection methods for low-rank tensor eigenvalue problems
by: Dektor, Alec, et al.
Published: (2025)
by: Dektor, Alec, et al.
Published: (2025)
Low-rank cross approximation of function-valued tensors for reduced-order modeling of parametric PDEs
by: Budzinskiy, Stanislav, et al.
Published: (2025)
by: Budzinskiy, Stanislav, et al.
Published: (2025)
A Riemannian rank-adaptive method for higher-order tensor completion in the tensor-train format
by: Vermeylen, Charlotte, et al.
Published: (2024)
by: Vermeylen, Charlotte, et al.
Published: (2024)
On the distance to low-rank matrices in the maximum norm
by: Budzinskiy, Stanislav
Published: (2023)
by: Budzinskiy, Stanislav
Published: (2023)
Geometric low-rank approximation of the Zeitlin model of incompressible fluids on the sphere
by: Pagliantini, Cecilia
Published: (2024)
by: Pagliantini, Cecilia
Published: (2024)
Better than best low-rank approximation with the singular value decomposition
by: Gleich, David F.
Published: (2024)
by: Gleich, David F.
Published: (2024)
Efficient quaternion CUR method for low-rank approximation to quaternion matrix
by: Wu, Peng-Ling, et al.
Published: (2024)
by: Wu, Peng-Ling, et al.
Published: (2024)
An adaptive low-rank splitting approach for the extended Fisher--Kolmogorov equation
by: Zhao, Yong-Liang, et al.
Published: (2022)
by: Zhao, Yong-Liang, et al.
Published: (2022)
Alternating steepest descent methods for tensor completion with applications to spectromicroscopy
by: Townsend, Oliver, et al.
Published: (2025)
by: Townsend, Oliver, et al.
Published: (2025)
Per-antenna power constraints: constructing Pareto-optimal precoders with cubic complexity under non-negligible noise conditions
by: Petrov, Sergey, et al.
Published: (2025)
by: Petrov, Sergey, et al.
Published: (2025)
A multilinear Nyström algorithm for low-rank approximation of tensors in Tucker format
by: Bucci, Alberto, et al.
Published: (2023)
by: Bucci, Alberto, et al.
Published: (2023)
A near-optimal recovery algorithm for the Stokes equations with incomplete information on the boundary conditions
by: Bonito, Andrea, et al.
Published: (2026)
by: Bonito, Andrea, et al.
Published: (2026)
An alternating low-rank projection approach for partial differential equations with random inputs
by: Wang, Guanjie, et al.
Published: (2024)
by: Wang, Guanjie, et al.
Published: (2024)
Exploring low-rank structure for an inverse scattering problem with far-field data
by: Zhou, Yuyuan, et al.
Published: (2024)
by: Zhou, Yuyuan, et al.
Published: (2024)
Efficient adaptive randomized algorithms for fixed-threshold low-rank matrix approximation
by: Liu, Qiaohua, et al.
Published: (2025)
by: Liu, Qiaohua, et al.
Published: (2025)
A two-phase rank-based algorithm for low-rank matrix completion
by: Araújo, Tacildo de Souza, et al.
Published: (2022)
by: Araújo, Tacildo de Souza, et al.
Published: (2022)
Construction of high-order conservative basis-update and Galerkin dynamical low-rank integrators
by: Einkemmer, Lukas, et al.
Published: (2023)
by: Einkemmer, Lukas, et al.
Published: (2023)
A generalized Nystrom method with column sketching for low-rank approximation of nonsymmetric matrices
by: Wang, Yatian, et al.
Published: (2024)
by: Wang, Yatian, et al.
Published: (2024)
Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations
by: Wu, Zi, et al.
Published: (2025)
by: Wu, Zi, et al.
Published: (2025)
A generalizable framework for low-rank tensor completion with numerical priors
by: Yuan, Shiran, et al.
Published: (2023)
by: Yuan, Shiran, et al.
Published: (2023)
Similar Items
-
Tensor train completion: local recovery guarantees via Riemannian optimization
by: Budzinskiy, Stanislav, et al.
Published: (2021) -
Quaternion tensor low rank Quaternion tensor low-rank approximation using a family of non-convex norms
by: Zahir, Alaeddine, et al.
Published: (2024) -
A homogeneous geometry of low-rank tensors
by: Jacobsson, Simon
Published: (2025) -
Parametric kernel low-rank approximations using tensor train decomposition
by: Khan, Abraham, et al.
Published: (2024) -
The average condition number of most tensor rank decomposition problems is infinite
by: Beltrán, Carlos, et al.
Published: (2019)