Cover Image

LRTuckerRep: Low-rank Tucker Representation Model for Multi-dimensional Data Completion

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gong, Wenwu, Yang, Lili
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computer Vision and Pattern Recognition Numerical Analysis
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

3DeepRep: 3D Deep Low-rank Tensor Representation for Hyperspectral Image Inpainting
by: Li, Yunshan, et al.
Published: (2025)

A generalizable framework for low-rank tensor completion with numerical priors
by: Yuan, Shiran, et al.
Published: (2023)

Transferable Foundation Models for Geometric Tasks on Point Cloud Representations: Geometric Neural Operators
by: Quackenbush, Blaine, et al.
Published: (2025)

Multiresolution local smoothness detection in non-uniformly sampled multivariate signals
by: Avesani, Sara, et al.
Published: (2025)

FINDER: Feature Inference on Noisy Datasets using Eigenspace Residuals
by: Murphy, Trajan, et al.
Published: (2025)

The mathematics of adversarial attacks in AI -- Why deep learning is unstable despite the existence of stable neural networks
by: Bastounis, Alexander, et al.
Published: (2021)

Linearized Attention Cannot Enter the Kernel Regime at Any Practical Width
by: Miñoza, Jose Marie Antonio, et al.
Published: (2026)

Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
by: Shumaylov, Zakhar, et al.
Published: (2024)

Layer-Specific Optimization: Sensitivity Based Convolution Layers Basis Search
by: Alekseev, Vasiliy, et al.
Published: (2024)

A Proper Orthogonal Decomposition approach for parameters reduction of Single Shot Detector networks
by: Meneghetti, Laura, et al.
Published: (2022)

Solutions to Elliptic and Parabolic Problems via Finite Difference Based Unsupervised Small Linear Convolutional Neural Networks
by: Celaya, Adrian, et al.
Published: (2023)

LAMA: Stable Dual-Domain Deep Reconstruction For Sparse-View CT
by: Ding, Chi, et al.
Published: (2024)

MgNet: A Unified Framework of Multigrid and Convolutional Neural Network
by: He, Juncai, et al.
Published: (2019)

Tensor PCA from basis in tensor space
by: Turchetti, Claudio, et al.
Published: (2023)

A Variational Bayesian Inference Theory of Elasticity and Its Mixed Probabilistic Finite Element Method for Inverse Deformation Solutions in Any Dimension
by: Wang, Chao, et al.
Published: (2024)

Simple Approximation and Derivative Free Inference-Time Scaling for Diffusion Models via Sequential Monte Carlo on Path Measures
by: Wang, Chenyang, et al.
Published: (2026)

QuadSync: Quadrifocal Tensor Synchronization via Tucker Decomposition
by: Miao, Daniel, et al.
Published: (2026)

High-Resolution Cranial Defect Reconstruction by Iterative, Low-Resolution, Point Cloud Completion Transformers
by: Wodzinski, Marek, et al.
Published: (2023)

Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
by: Ren, Yinuo, et al.
Published: (2025)

Deep Neural-network Prior for Orbit Recovery from Method of Moments
by: Khoo, Yuehaw, et al.
Published: (2023)

DiffusionPDE: Generative PDE-Solving Under Partial Observation
by: Huang, Jiahe, et al.
Published: (2024)

Graph Lineages and Skeletal Graph Products
by: Mjolsness, Eric, et al.
Published: (2025)

Physics-informed diffusion models in spectral space
by: Gallon, Davide, et al.
Published: (2026)

DBMSolver: A Training-free Diffusion Bridge Sampler for High-Quality Image-to-Image Translation
by: Venugopal, Sankarshana, et al.
Published: (2026)

Recursive Flow Matching
by: Huang, Jiahe, et al.
Published: (2026)

Extending Neural Operators: Robust Handling of Functions Beyond the Training Set
by: Quackenbush, Blaine, et al.
Published: (2026)

Quaternion Nonlinear Transform-Induced Nuclear Norm for Low-Rank Tensor Completion
by: Karmakar, Biswarup, et al.
Published: (2026)

Occluded Face Recognition Using Low-rank Regression with Generalized Gradient Direction
by: Wu, Cho-Ying, et al.
Published: (2019)

Distributed Stochastic Optimization of a Neural Representation Network for Time-Space Tomography Reconstruction
by: Mohan, K. Aditya, et al.
Published: (2024)

Neural Operator-Grounded Continuous Tensor Function Representation and Its Applications
by: Su, Ruoyang, et al.
Published: (2026)

Rep-MTL: Unleashing the Power of Representation-level Task Saliency for Multi-Task Learning
by: Wang, Zedong, et al.
Published: (2025)

Spectral Image Data Fusion for Multisource Data Augmentation
by: Luca, Roberta Iuliana, et al.
Published: (2024)

Assessing the use of Diffusion models for motion artifact correction in brain MRI
by: Angella, Paolo, et al.
Published: (2025)

Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach
by: Chen, Haoxuan, et al.
Published: (2025)

A case study of spatiotemporal forecasting techniques for weather forecasting
by: Sofi, Shakir Showkat, et al.
Published: (2022)

Operator learning for models of tear film breakup
by: Chen, Qinying, et al.
Published: (2026)

An $\ell^1$-Plug-and-Play Approach for MPI Using a Zero Shot Denoiser with Evaluation on the 3D Open MPI Dataset
by: Gapyak, Vladyslav, et al.
Published: (2023)

Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview
by: Auras, Alexander, et al.
Published: (2024)

A Plug-and-Play Framework for Volumetric Light-Sheet Image Reconstruction
by: Gong, Yi, et al.
Published: (2025)

Extrapolating Phase-Field Simulations in Space and Time with Purely Convolutional Architectures
by: Bonneville, Christophe, et al.
Published: (2025)