Copertina

Adaptive Subspace Modeling With Functional Tucker Decomposition

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Steidle, Noah, De Jonghe, Joppe, Ishteva, Mariya
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Numerical Analysis 15A69, 41A63, 62H30, 65D15
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A lattice algorithm with multiple shifts for function approximation in Korobov spaces
di: Cai, Mou, et al.
Pubblicazione: (2025)

Weighted least $\ell_p$ approximation on compact Riemannian manifolds
di: Li, Jiansong, et al.
Pubblicazione: (2024)

Hybrid CUR-type decomposition of tensors in the Tucker format
di: Begovic, Erna
Pubblicazione: (2020)

Christoffel Adaptive Sampling for Sparse Random Feature Expansions
di: Adcock, Ben, et al.
Pubblicazione: (2026)

Compression using Quasi-Interpolation
di: Buhmann, Martin, et al.
Pubblicazione: (2024)

On the Approximation of Singular Functions by Series of Non-integer Powers
di: Zhao, Mohan, et al.
Pubblicazione: (2023)

Quasi-interpolation for high-dimensional function approximation
di: Gao, Wenwu, et al.
Pubblicazione: (2024)

Reconstruction Plans and Efficient Rank-1 Lattice Construction for Chebyshev Expansions Over Lower Sets
di: Moussa, Abdelqoddous, et al.
Pubblicazione: (2024)

Tractability of non-homogeneous tensor product problems in the worst case setting
di: Guo, Rong, et al.
Pubblicazione: (2019)

Approximating functions on ${\mathbb R}^+$ by exponential sums
di: Kuznetsov, Alexey, et al.
Pubblicazione: (2025)

Geometric Kernel Interpolation and Regression
di: Guidotti, Patrick
Pubblicazione: (2026)

Nonlinear stationary subdivision schemes that reproduce trigonometric functions
di: Donat, Rosa, et al.
Pubblicazione: (2018)

Hyperbolic trigonometric functions as approximation kernels and their properties II: Wavelets
di: Buhmann, M., et al.
Pubblicazione: (2025)

Surrogate to Poincaré inequalities on manifolds for structured dimension reduction in nonlinear feature spaces
di: Pasco, Alexandre, et al.
Pubblicazione: (2026)

Applications of QR-based Vector-Valued Rational Approximation
di: Dirckx, Simon
Pubblicazione: (2026)

Lattice algorithms for multivariate approximation in periodic spaces with general weight parameters
di: Cools, Ronald, et al.
Pubblicazione: (2019)

Construction of Optimal Algorithms for Function Approximation in Gaussian Sobolev Spaces
di: Suzuki, Yuya, et al.
Pubblicazione: (2024)

Function recovery on manifolds using scattered data
di: Krieg, David, et al.
Pubblicazione: (2021)

Doubling the rate -- improved error bounds for orthogonal projection with application to interpolation
di: Sloan, Ian H., et al.
Pubblicazione: (2023)

Comparative study on higher order compact RBF-FD formulas with Gaussian and Multiquadric radial functions
di: Yadav, Manoj Kumar, et al.
Pubblicazione: (2024)

Error bounds for numerical differentiation using kernels of finite smoothness
di: Davydov, Oleg
Pubblicazione: (2025)

SUPN: Shallow Universal Polynomial Networks
di: Morrow, Zachary, et al.
Pubblicazione: (2025)

Multilevel Sparse Tensor Approximation for High-Dimensional Parametric PDEs
di: Eigel, Martin, et al.
Pubblicazione: (2026)

Lengthscale-informed sparse grids for kernel methods in high dimensions
di: Addy, Elliot J., et al.
Pubblicazione: (2025)

Tensor Train Completion from Fiberwise Observations Along a Single Mode
di: Sofi, Shakir Showkat, et al.
Pubblicazione: (2025)

A Construction of $C^{r}$ Conforming Finite Elements on the Alfeld Split in Any Dimension
di: Lin, Ting, et al.
Pubblicazione: (2026)

Optimal quadrature errors and sampling numbers for Sobolev spaces with logarithmic perturbation on spheres
di: Geng, Jiaxin, et al.
Pubblicazione: (2024)

Average case tractability of multivariate approximation with Gevrey type kernels
di: Lu, Wanting, et al.
Pubblicazione: (2024)

NEP_MiniMax: An Approach for NEPs Based on Matrix-valued Minimax Approximations
di: Zhang, Chenkun, et al.
Pubblicazione: (2026)

Adaptive integration of 5-convex and 5-concave functions
di: Wąsowicz, Szymon
Pubblicazione: (2026)

Surrogate to Poincaré inequalities on manifolds for dimension reduction in nonlinear feature spaces
di: Nouy, Anthony, et al.
Pubblicazione: (2025)

Diagonally-Weighted Generalized Method of Moments Estimation for Gaussian Mixture Modeling
di: Zhang, Liu, et al.
Pubblicazione: (2025)

The Bivariate Normal Integral via Owen's T Function as a Modified Euler's Arctangent Series
di: Komelj, Janez
Pubblicazione: (2023)

Exploiting locality in sparse polynomial approximation of parametric elliptic PDEs and application to parameterized domains
di: van Harten, Wouter, et al.
Pubblicazione: (2023)

Quasi-interpolation using generalized Gaussian kernels
di: Gao, Wenwu, et al.
Pubblicazione: (2024)

Low-rank optimization on Tucker tensor varieties
di: Gao, Bin, et al.
Pubblicazione: (2023)

Multivariate Interpolation in Unisolvent Nodes -- Lifting the Curse of Dimensionality
di: Hecht, Michael, et al.
Pubblicazione: (2020)

Neural network-based singularity detection and applications
di: Derevianko, Nadiia, et al.
Pubblicazione: (2025)

A multilinear Nyström algorithm for low-rank approximation of tensors in Tucker format
di: Bucci, Alberto, et al.
Pubblicazione: (2023)

Computation of Zolotarev rational functions
di: Trefethen, Lloyd N., et al.
Pubblicazione: (2024)