Guardado en:
| Autores principales: | Ichi, Alaa El, Jbilou, Khalide |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2602.05936 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Computationally Efficient Multidimensional Vision Transformer
por: Ichi, Alaa El, et al.
Publicado: (2026)
por: Ichi, Alaa El, et al.
Publicado: (2026)
Multidimensional Task Learning: A Unified Tensor Framework for Computer Vision Tasks
por: Ichi, Alaa El, et al.
Publicado: (2026)
por: Ichi, Alaa El, et al.
Publicado: (2026)
A Unified Trace-Optimization Framework for Multidimensionality Reduction
por: Guide, Mohamed El, et al.
Publicado: (2026)
por: Guide, Mohamed El, et al.
Publicado: (2026)
Low-Rank Tensor Approximation of Weights in Large Language Models via Cosine Lanczos Bidiagonalization
por: Ichi, A. El, et al.
Publicado: (2026)
por: Ichi, A. El, et al.
Publicado: (2026)
Structured Multidimensional Representation Learning for Large Language Models
por: Ichi, Alaa El, et al.
Publicado: (2026)
por: Ichi, Alaa El, et al.
Publicado: (2026)
A low-rank non-convex norm method for multiview graph clustering
por: Zahir, Alaeddine, et al.
Publicado: (2023)
por: Zahir, Alaeddine, et al.
Publicado: (2023)
High-dimensional multi-view clustering methods
por: Zahir, Alaeddine, et al.
Publicado: (2023)
por: Zahir, Alaeddine, et al.
Publicado: (2023)
A survey of scalar and vector extrapolation
por: Jbilou, Khalide
Publicado: (2026)
por: Jbilou, Khalide
Publicado: (2026)
Online multidimensional dictionary learning
por: Addi, Ferdaous Ait, et al.
Publicado: (2025)
por: Addi, Ferdaous Ait, et al.
Publicado: (2025)
Trace Ratio Based Manifold Learning With Tensor Data
por: Mohammed Bouallala, et al.
Publicado: (2024)
por: Mohammed Bouallala, et al.
Publicado: (2024)
Trace Ratio vs Ratio Trace Methods for Multidimensional Dimensionality Reduction
por: Zahir, Alaeddine, et al.
Publicado: (2025)
por: Zahir, Alaeddine, et al.
Publicado: (2025)
A rational Krylov methods for large scale linear multidimensional dynamical systems
por: Barkouki, Houda, et al.
Publicado: (2024)
por: Barkouki, Houda, et al.
Publicado: (2024)
Non-negative Einstein tensor factorization for unmixing hyperspectral images
por: Hachimi, Anas El, et al.
Publicado: (2024)
por: Hachimi, Anas El, et al.
Publicado: (2024)
Modified Greedy Quasi Block Coordinate Descent Method for Solving Linear Least‐Squares Problems
por: Fatemeh P. A. Beik, et al.
Publicado: (2026)
por: Fatemeh P. A. Beik, et al.
Publicado: (2026)
Quaternion tensor low rank Quaternion tensor low-rank approximation using a family of non-convex norms
por: Zahir, Alaeddine, et al.
Publicado: (2024)
por: Zahir, Alaeddine, et al.
Publicado: (2024)
Higher order multi-dimension reduction methods via Einstein product
por: Zahir, Alaeddine, et al.
Publicado: (2024)
por: Zahir, Alaeddine, et al.
Publicado: (2024)
A Variational Manifold Embedding Framework for Nonlinear Dimensionality Reduction
por: Vastola, John J., et al.
Publicado: (2025)
por: Vastola, John J., et al.
Publicado: (2025)
Low-Rank Regularized Convex-Non-Convex Problems for Image Segmentation or Completion
por: Guide, Mohamed El, et al.
Publicado: (2025)
por: Guide, Mohamed El, et al.
Publicado: (2025)
Conformal inference for regression on Riemannian Manifolds
por: Cholaquidis, Alejandro, et al.
Publicado: (2023)
por: Cholaquidis, Alejandro, et al.
Publicado: (2023)
Efficient Krylov-Regularization Solvers for Multiquadric RBF Discretizations of the 3D Helmholtz Equation
por: Guide, Mohamed El, et al.
Publicado: (2025)
por: Guide, Mohamed El, et al.
Publicado: (2025)
Mirror Descent on Riemannian Manifolds
por: Jiang, Jiaxin, et al.
Publicado: (2026)
por: Jiang, Jiaxin, et al.
Publicado: (2026)
Spiking Graph Neural Network on Riemannian Manifolds
por: Sun, Li, et al.
Publicado: (2024)
por: Sun, Li, et al.
Publicado: (2024)
Riemannian Optimization on Relaxed Indicator Matrix Manifold
por: Yuan, Jinghui, et al.
Publicado: (2025)
por: Yuan, Jinghui, et al.
Publicado: (2025)
Sharpness-Aware Teleportation on Riemannian Manifolds
por: Truong, Tuan, et al.
Publicado: (2023)
por: Truong, Tuan, et al.
Publicado: (2023)
Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds
por: Sahinoglu, Emre, et al.
Publicado: (2025)
por: Sahinoglu, Emre, et al.
Publicado: (2025)
Multidimensional extrapolated global proximal gradient and applications for image processing
por: Bentbib, Abdeslem Hafid, et al.
Publicado: (2024)
por: Bentbib, Abdeslem Hafid, et al.
Publicado: (2024)
Dual Riemannian Newton Method on Statistical Manifolds
por: Zhou, Derun, et al.
Publicado: (2025)
por: Zhou, Derun, et al.
Publicado: (2025)
Interpretable Dimensionality Reduction by Feature Preserving Manifold Approximation and Projection
por: Yang, Yang, et al.
Publicado: (2022)
por: Yang, Yang, et al.
Publicado: (2022)
ManifoldFormer: Geometric Deep Learning for Neural Dynamics on Riemannian Manifolds
por: Fu, Yihang, et al.
Publicado: (2025)
por: Fu, Yihang, et al.
Publicado: (2025)
Riemannian MeanFlow for One-Step Generation on Manifolds
por: Zhong, Zichen, et al.
Publicado: (2026)
por: Zhong, Zichen, et al.
Publicado: (2026)
Riemannian Optimization for LoRA on the Stiefel Manifold
por: Park, Juneyoung, et al.
Publicado: (2025)
por: Park, Juneyoung, et al.
Publicado: (2025)
A Framework for Bilevel Optimization on Riemannian Manifolds
por: Han, Andi, et al.
Publicado: (2024)
por: Han, Andi, et al.
Publicado: (2024)
Iso-Riemannian Optimization on Learned Data Manifolds
por: Diepeveen, Willem, et al.
Publicado: (2025)
por: Diepeveen, Willem, et al.
Publicado: (2025)
Model Compression with Exact Budget Constraints via Riemannian Manifolds
por: Helcig, Michael, et al.
Publicado: (2026)
por: Helcig, Michael, et al.
Publicado: (2026)
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes
por: Jo, Jaehyeong, et al.
Publicado: (2023)
por: Jo, Jaehyeong, et al.
Publicado: (2023)
Intrinsic Muon: Spectral Optimization on Riemannian Matrix Manifolds
por: Li, Yibang, et al.
Publicado: (2026)
por: Li, Yibang, et al.
Publicado: (2026)
Inversion-Free Natural Gradient Descent on Riemannian Manifolds
por: Draca, Dario, et al.
Publicado: (2026)
por: Draca, Dario, et al.
Publicado: (2026)
Riemannian Proximal Sampler for High-accuracy Sampling on Manifolds
por: Guan, Yunrui, et al.
Publicado: (2025)
por: Guan, Yunrui, et al.
Publicado: (2025)
Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization
por: Wang, Shiyu, et al.
Publicado: (2025)
por: Wang, Shiyu, et al.
Publicado: (2025)
Orthogonal Subspace Clustering: Enhancing High-Dimensional Data Analysis through Adaptive Dimensionality Reduction and Efficient Clustering
por: Wen, Qing-Yuan, et al.
Publicado: (2026)
por: Wen, Qing-Yuan, et al.
Publicado: (2026)
Ejemplares similares
-
A Computationally Efficient Multidimensional Vision Transformer
por: Ichi, Alaa El, et al.
Publicado: (2026) -
Multidimensional Task Learning: A Unified Tensor Framework for Computer Vision Tasks
por: Ichi, Alaa El, et al.
Publicado: (2026) -
A Unified Trace-Optimization Framework for Multidimensionality Reduction
por: Guide, Mohamed El, et al.
Publicado: (2026) -
Low-Rank Tensor Approximation of Weights in Large Language Models via Cosine Lanczos Bidiagonalization
por: Ichi, A. El, et al.
Publicado: (2026) -
Structured Multidimensional Representation Learning for Large Language Models
por: Ichi, Alaa El, et al.
Publicado: (2026)