Cover Image

PARAFAC2-based Coupled Matrix and Tensor Factorizations with Constraints

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Schenker, Carla, Wang, Xiulin, Horner, David, Rasmussen, Morten A., Acar, Evrim
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

tPARAFAC2: Tracking evolving patterns in (incomplete) temporal data
by: Chatzis, Christos, et al.
Published: (2024)

dCMF: Learning interpretable evolving patterns from temporal multiway data
by: Chatzis, Christos, et al.
Published: (2025)

FCNCP: A Coupled Nonnegative CANDECOMP/PARAFAC Decomposition Based on Federated Learning
by: Cai, Yukai, et al.
Published: (2024)

Fast Learnings of Coupled Nonnegative Tensor Decomposition Using Optimal Gradient and Low-rank Approximation
by: Wang, Xiulin, et al.
Published: (2023)

Supervised Coupled Matrix-Tensor Factorization (SCMTF) for Computational Phenotyping of Patient Reported Outcomes in Ulcerative Colitis
by: Minoccheri, Cristian, et al.
Published: (2025)

Low-Rank Matrix Factorizations with Volume-based Constraints and Regularizations
by: Thanh, Olivier Vu
Published: (2024)

Generating Hidden Markov Models from Process Models Through Nonnegative Tensor Factorization
by: Skau, Erik, et al.
Published: (2022)

Semi-supervised Symmetric Non-negative Matrix Factorization with Low-Rank Tensor Representation
by: Jia, Yuheng, et al.
Published: (2024)

A Tensor Residual Circuit Neural Network Factorized with Matrix Product Operation
by: Chen, Andi
Published: (2025)

Constraints Matrix Diffusion based Generative Neural Solver for Vehicle Routing Problems
by: Wang, Zhenwei, et al.
Published: (2026)

E$^2$M: Double Bounded $α$-Divergence Optimization for Tensor-based Discrete Density Estimation
by: Ghalamkari, Kazu, et al.
Published: (2024)

Orthogonal Nonnegative Matrix Factorization with Sparsity Constraints
by: Basiri, Salar, et al.
Published: (2022)

Wasserstein Nonnegative Tensor Factorization with Manifold Regularization
by: Wang, Jianyu, et al.
Published: (2024)

Factor Augmented Tensor-on-Tensor Neural Networks
by: Zhou, Guanhao, et al.
Published: (2024)

Explaining the Explainer: Understanding the Inner Workings of Transformer-based Symbolic Regression Models
by: van Breda, Arco, et al.
Published: (2026)

LaFA: Latent Feature Attacks on Non-negative Matrix Factorization
by: Vu, Minh, et al.
Published: (2024)

Optimal Bias-variance Tradeoff in Matrix and Tensor Estimation
by: Kumar, Shivam, et al.
Published: (2025)

Water Quality Data Imputation via A Fast Latent Factorization of Tensors with PID-based Optimizer
by: Liu, Qian, et al.
Published: (2025)

Personalized Coupled Tensor Decomposition for Multimodal Data Fusion: Uniqueness and Algorithms
by: Borsoi, Ricardo Augusto, et al.
Published: (2024)

Tailed Low-Rank Matrix Factorization for Similarity Matrix Completion
by: Ma, Changyi, et al.
Published: (2024)

A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation
by: Lebeau, Hugo, et al.
Published: (2024)

Multiple Linked Tensor Factorization
by: Kang, Zhiyu, et al.
Published: (2025)

Interpretable Multi-View Clustering Based on Anchor Graph Tensor Factorization
by: Wang, Rui, et al.
Published: (2024)

Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion
by: Bai, Zhiwei, et al.
Published: (2024)

Learning Coupled System Dynamics under Incomplete Physical Constraints and Missing Data
by: Saha, Esha, et al.
Published: (2025)

Wave Physics-informed Matrix Factorizations
by: Tetali, Harsha Vardhan, et al.
Published: (2023)

An Exterior Method for Nonnegative Matrix Factorization
by: Lu, Qiujing, et al.
Published: (2026)

Bayesian Matrix Completion Under Geometric Constraints
by: Chiluvuri, Rohit Varma, et al.
Published: (2026)

Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model
by: Lebeau, Hugo, et al.
Published: (2024)

Geometry is All You Need: A Unified Taxonomy of Matrix and Tensor Factorization for Compression of Generative Language Models
by: Xu, Mingxue, et al.
Published: (2024)

Think Smart, Act SMARL! Analyzing Probabilistic Logic Shields for Multi-Agent Reinforcement Learning
by: Chatterji, Satchit, et al.
Published: (2024)

Federated Learning based Latent Factorization of Tensors for Privacy-Preserving QoS Prediction
by: Zhong, Shuai, et al.
Published: (2024)

Convolutional Surrogate for 3D Discrete Fracture-Matrix Tensor Upscaling
by: Špetlík, Martin, et al.
Published: (2026)

Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning
by: Rozada, Sergio, et al.
Published: (2022)

Nonnegative Matrix Factorization through Cone Collapse
by: Nguyen, Manh, et al.
Published: (2025)

Symmetry Nonnegative Matrix Factorization Algorithm Based on Self-paced Learning
by: Wang, Lei, et al.
Published: (2024)

ACTIVA: Amortized Causal Effect Estimation via Transformer-based Variational Autoencoder
by: Sauter, Andreas, et al.
Published: (2025)

Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis
by: Tao, Zerui, et al.
Published: (2024)

A Unified MDL-based Binning and Tensor Factorization Framework for PDF Estimation
by: Musab, Mustafa, et al.
Published: (2025)

Coseparable Nonnegative Tensor Factorization With T-CUR Decomposition
by: Chen, Juefei, et al.
Published: (2024)