A Kernelizable Primal-Dual Formulation of the Multilinear Singular Value Decomposition
Fuente:
arXiv
Guardado en:
| Autores principales: | Wesel, Frederiek, Batselier, Kim |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Tensor Network-Constrained Kernel Machines as Gaussian Processes
por: Wesel, Frederiek, et al.
Publicado: (2024)
por: Wesel, Frederiek, et al.
Publicado: (2024)
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models
por: Wesel, Frederiek, et al.
Publicado: (2023)
por: Wesel, Frederiek, et al.
Publicado: (2023)
SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition
por: Gao, Yihang, et al.
Publicado: (2022)
por: Gao, Yihang, et al.
Publicado: (2022)
An Accelerated Newton-GMRES Method for Multilinear PageRank
por: Boubekraoui, Maryam, et al.
Publicado: (2025)
por: Boubekraoui, Maryam, et al.
Publicado: (2025)
Stochastic Rounding Increases Small Singular Values
por: Ma, Linkai, et al.
Publicado: (2026)
por: Ma, Linkai, et al.
Publicado: (2026)
Primal-Dual Methods for Nonsmooth Nonconvex Optimization with Orthogonality Constraints
por: Zhu, Linglingzhi, et al.
Publicado: (2026)
por: Zhu, Linglingzhi, et al.
Publicado: (2026)
Position: Tensor Networks are a Valuable Asset for Green AI
por: Memmel, Eva, et al.
Publicado: (2022)
por: Memmel, Eva, et al.
Publicado: (2022)
Constructing structured tensor priors for Bayesian inverse problems
por: Batselier, Kim
Publicado: (2024)
por: Batselier, Kim
Publicado: (2024)
Generalized Singular Value Decompositions of Dual Quaternion Matrix Triplets
por: Ling, Sitao, et al.
Publicado: (2025)
por: Ling, Sitao, et al.
Publicado: (2025)
A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equations
por: Liu, Shu, et al.
Publicado: (2024)
por: Liu, Shu, et al.
Publicado: (2024)
Radial Müntz-Szász Networks: Neural Architectures with Learnable Power Bases for Multidimensional Singularities
por: N'guessan, Gnankan Landry Regis, et al.
Publicado: (2026)
por: N'guessan, Gnankan Landry Regis, et al.
Publicado: (2026)
Large Language Models: A Mathematical Formulation
por: Baptista, Ricardo, et al.
Publicado: (2026)
por: Baptista, Ricardo, et al.
Publicado: (2026)
Matrix Decomposition and Applications
por: Lu, Jun
Publicado: (2022)
por: Lu, Jun
Publicado: (2022)
Learn Singularly Perturbed Solutions via Homotopy Dynamics
por: Chen, Chuqi, et al.
Publicado: (2025)
por: Chen, Chuqi, et al.
Publicado: (2025)
Point Source Identification Using Singularity Enriched Neural Networks
por: Hu, Tianhao, et al.
Publicado: (2024)
por: Hu, Tianhao, et al.
Publicado: (2024)
Component Fourier Neural Operator for Singularly Perturbed Differential Equations
por: Li, Ye, et al.
Publicado: (2024)
por: Li, Ye, et al.
Publicado: (2024)
Learning Singularity-Encoded Green's Functions with Application to Iterative Methods
por: Sun, Qi, et al.
Publicado: (2025)
por: Sun, Qi, et al.
Publicado: (2025)
A Power Method for Computing Singular Value Decomposition
por: Dembele, Doulaye
Publicado: (2024)
por: Dembele, Doulaye
Publicado: (2024)
Singularity Formation: Synergy in Theoretical, Numerical and Machine Learning Approaches
por: Wang, Yixuan
Publicado: (2026)
por: Wang, Yixuan
Publicado: (2026)
Coseparable Nonnegative Tensor Factorization With T-CUR Decomposition
por: Chen, Juefei, et al.
Publicado: (2024)
por: Chen, Juefei, et al.
Publicado: (2024)
FCNCP: A Coupled Nonnegative CANDECOMP/PARAFAC Decomposition Based on Federated Learning
por: Cai, Yukai, et al.
Publicado: (2024)
por: Cai, Yukai, et al.
Publicado: (2024)
A Short Note on Batch-efficient Divide-and-Conquer Algorithm for EigenDecomposition
por: Song, Yue
Publicado: (2026)
por: Song, Yue
Publicado: (2026)
Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations
por: Cai, Difeng, et al.
Publicado: (2025)
por: Cai, Difeng, et al.
Publicado: (2025)
Generalized Canonical Polyadic Tensor Decompositions with General Symmetry
por: Mulrooney, Alex, et al.
Publicado: (2026)
por: Mulrooney, Alex, et al.
Publicado: (2026)
Revisiting Orbital Minimization Method for Neural Operator Decomposition
por: Ryu, J. Jon, et al.
Publicado: (2025)
por: Ryu, J. Jon, et al.
Publicado: (2025)
A Precise Performance Analysis of the Randomized Singular Value Decomposition
por: Akhtiamov, Danil, et al.
Publicado: (2025)
por: Akhtiamov, Danil, et al.
Publicado: (2025)
A Multiple Transferable Neural Network Method with Domain Decomposition for Elliptic Interface Problems
por: Lu, Tianzheng, et al.
Publicado: (2025)
por: Lu, Tianzheng, et al.
Publicado: (2025)
Time Extrapolation with Graph Convolutional Autoencoder and Tensor Train Decomposition
por: Chen, Yuanhong, et al.
Publicado: (2025)
por: Chen, Yuanhong, et al.
Publicado: (2025)
Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data
por: Larsen, Brett W., et al.
Publicado: (2024)
por: Larsen, Brett W., et al.
Publicado: (2024)
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation
por: Katende, Ronald
Publicado: (2025)
por: Katende, Ronald
Publicado: (2025)
Digital Twin Data Modelling by Randomized Orthogonal Decomposition and Deep Learning
por: Bistrian, Diana Alina, et al.
Publicado: (2022)
por: Bistrian, Diana Alina, et al.
Publicado: (2022)
Differentiable Singular Value Decomposition
por: Kanchi, Rohit, et al.
Publicado: (2025)
por: Kanchi, Rohit, et al.
Publicado: (2025)
Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction
por: Yuan, Longhao, et al.
Publicado: (2019)
por: Yuan, Longhao, et al.
Publicado: (2019)
Singular Value and Frame Decomposition-based Reconstruction for Atmospheric Tomography
por: Weissinger, Lukas, et al.
Publicado: (2024)
por: Weissinger, Lukas, et al.
Publicado: (2024)
An Improved Incremental Singular Value Decomposition and New Error Bounds
por: Zhang, Yangwen
Publicado: (2022)
por: Zhang, Yangwen
Publicado: (2022)
N-Adaptive Ritz Method: A Neural Network Enriched Partition of Unity for Boundary Value Problems
por: Baek, Jonghyuk, et al.
Publicado: (2024)
por: Baek, Jonghyuk, et al.
Publicado: (2024)
Dual-Balancing for Physics-Informed Neural Networks
por: Zhou, Chenhong, et al.
Publicado: (2025)
por: Zhou, Chenhong, et al.
Publicado: (2025)
An Efficient Randomized Fixed-Precision Algorithm for Tensor Singular Value Decomposition
por: Ahmadi-Asl, Salman
Publicado: (2022)
por: Ahmadi-Asl, Salman
Publicado: (2022)
Matrix-Free Least Squares Solvers: Values, Gradients, and What to Do With Them
por: Roy, Hrittik, et al.
Publicado: (2025)
por: Roy, Hrittik, et al.
Publicado: (2025)
On Quasi-Localized Dual Pairs in Reproducing Kernel Hilbert Spaces
por: Harbrecht, Helmut, et al.
Publicado: (2024)
por: Harbrecht, Helmut, et al.
Publicado: (2024)
Ejemplares similares
-
Tensor Network-Constrained Kernel Machines as Gaussian Processes
por: Wesel, Frederiek, et al.
Publicado: (2024) -
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models
por: Wesel, Frederiek, et al.
Publicado: (2023) -
SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition
por: Gao, Yihang, et al.
Publicado: (2022) -
An Accelerated Newton-GMRES Method for Multilinear PageRank
por: Boubekraoui, Maryam, et al.
Publicado: (2025) -
Stochastic Rounding Increases Small Singular Values
por: Ma, Linkai, et al.
Publicado: (2026)