PARAFAC2-based Coupled Matrix and Tensor Factorizations with Constraints
Fuente:
arXiv
Guardado en:
| Autores principales: | Schenker, Carla, Wang, Xiulin, Horner, David, Rasmussen, Morten A., Acar, Evrim |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
tPARAFAC2: Tracking evolving patterns in (incomplete) temporal data
por: Chatzis, Christos, et al.
Publicado: (2024)
por: Chatzis, Christos, et al.
Publicado: (2024)
dCMF: Learning interpretable evolving patterns from temporal multiway data
por: Chatzis, Christos, et al.
Publicado: (2025)
por: Chatzis, Christos, et al.
Publicado: (2025)
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)
Fast Learnings of Coupled Nonnegative Tensor Decomposition Using Optimal Gradient and Low-rank Approximation
por: Wang, Xiulin, et al.
Publicado: (2023)
por: Wang, Xiulin, et al.
Publicado: (2023)
Supervised Coupled Matrix-Tensor Factorization (SCMTF) for Computational Phenotyping of Patient Reported Outcomes in Ulcerative Colitis
por: Minoccheri, Cristian, et al.
Publicado: (2025)
por: Minoccheri, Cristian, et al.
Publicado: (2025)
Low-Rank Matrix Factorizations with Volume-based Constraints and Regularizations
por: Thanh, Olivier Vu
Publicado: (2024)
por: Thanh, Olivier Vu
Publicado: (2024)
Generating Hidden Markov Models from Process Models Through Nonnegative Tensor Factorization
por: Skau, Erik, et al.
Publicado: (2022)
por: Skau, Erik, et al.
Publicado: (2022)
Semi-supervised Symmetric Non-negative Matrix Factorization with Low-Rank Tensor Representation
por: Jia, Yuheng, et al.
Publicado: (2024)
por: Jia, Yuheng, et al.
Publicado: (2024)
A Tensor Residual Circuit Neural Network Factorized with Matrix Product Operation
por: Chen, Andi
Publicado: (2025)
por: Chen, Andi
Publicado: (2025)
Constraints Matrix Diffusion based Generative Neural Solver for Vehicle Routing Problems
por: Wang, Zhenwei, et al.
Publicado: (2026)
por: Wang, Zhenwei, et al.
Publicado: (2026)
E$^2$M: Double Bounded $α$-Divergence Optimization for Tensor-based Discrete Density Estimation
por: Ghalamkari, Kazu, et al.
Publicado: (2024)
por: Ghalamkari, Kazu, et al.
Publicado: (2024)
Orthogonal Nonnegative Matrix Factorization with Sparsity Constraints
por: Basiri, Salar, et al.
Publicado: (2022)
por: Basiri, Salar, et al.
Publicado: (2022)
Wasserstein Nonnegative Tensor Factorization with Manifold Regularization
por: Wang, Jianyu, et al.
Publicado: (2024)
por: Wang, Jianyu, et al.
Publicado: (2024)
Factor Augmented Tensor-on-Tensor Neural Networks
por: Zhou, Guanhao, et al.
Publicado: (2024)
por: Zhou, Guanhao, et al.
Publicado: (2024)
Explaining the Explainer: Understanding the Inner Workings of Transformer-based Symbolic Regression Models
por: van Breda, Arco, et al.
Publicado: (2026)
por: van Breda, Arco, et al.
Publicado: (2026)
LaFA: Latent Feature Attacks on Non-negative Matrix Factorization
por: Vu, Minh, et al.
Publicado: (2024)
por: Vu, Minh, et al.
Publicado: (2024)
Optimal Bias-variance Tradeoff in Matrix and Tensor Estimation
por: Kumar, Shivam, et al.
Publicado: (2025)
por: Kumar, Shivam, et al.
Publicado: (2025)
Water Quality Data Imputation via A Fast Latent Factorization of Tensors with PID-based Optimizer
por: Liu, Qian, et al.
Publicado: (2025)
por: Liu, Qian, et al.
Publicado: (2025)
Personalized Coupled Tensor Decomposition for Multimodal Data Fusion: Uniqueness and Algorithms
por: Borsoi, Ricardo Augusto, et al.
Publicado: (2024)
por: Borsoi, Ricardo Augusto, et al.
Publicado: (2024)
Tailed Low-Rank Matrix Factorization for Similarity Matrix Completion
por: Ma, Changyi, et al.
Publicado: (2024)
por: Ma, Changyi, et al.
Publicado: (2024)
A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation
por: Lebeau, Hugo, et al.
Publicado: (2024)
por: Lebeau, Hugo, et al.
Publicado: (2024)
Multiple Linked Tensor Factorization
por: Kang, Zhiyu, et al.
Publicado: (2025)
por: Kang, Zhiyu, et al.
Publicado: (2025)
Interpretable Multi-View Clustering Based on Anchor Graph Tensor Factorization
por: Wang, Rui, et al.
Publicado: (2024)
por: Wang, Rui, et al.
Publicado: (2024)
Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion
por: Bai, Zhiwei, et al.
Publicado: (2024)
por: Bai, Zhiwei, et al.
Publicado: (2024)
Learning Coupled System Dynamics under Incomplete Physical Constraints and Missing Data
por: Saha, Esha, et al.
Publicado: (2025)
por: Saha, Esha, et al.
Publicado: (2025)
Wave Physics-informed Matrix Factorizations
por: Tetali, Harsha Vardhan, et al.
Publicado: (2023)
por: Tetali, Harsha Vardhan, et al.
Publicado: (2023)
An Exterior Method for Nonnegative Matrix Factorization
por: Lu, Qiujing, et al.
Publicado: (2026)
por: Lu, Qiujing, et al.
Publicado: (2026)
Bayesian Matrix Completion Under Geometric Constraints
por: Chiluvuri, Rohit Varma, et al.
Publicado: (2026)
por: Chiluvuri, Rohit Varma, et al.
Publicado: (2026)
Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model
por: Lebeau, Hugo, et al.
Publicado: (2024)
por: Lebeau, Hugo, et al.
Publicado: (2024)
Geometry is All You Need: A Unified Taxonomy of Matrix and Tensor Factorization for Compression of Generative Language Models
por: Xu, Mingxue, et al.
Publicado: (2024)
por: Xu, Mingxue, et al.
Publicado: (2024)
Think Smart, Act SMARL! Analyzing Probabilistic Logic Shields for Multi-Agent Reinforcement Learning
por: Chatterji, Satchit, et al.
Publicado: (2024)
por: Chatterji, Satchit, et al.
Publicado: (2024)
Federated Learning based Latent Factorization of Tensors for Privacy-Preserving QoS Prediction
por: Zhong, Shuai, et al.
Publicado: (2024)
por: Zhong, Shuai, et al.
Publicado: (2024)
Convolutional Surrogate for 3D Discrete Fracture-Matrix Tensor Upscaling
por: Špetlík, Martin, et al.
Publicado: (2026)
por: Špetlík, Martin, et al.
Publicado: (2026)
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning
por: Rozada, Sergio, et al.
Publicado: (2022)
por: Rozada, Sergio, et al.
Publicado: (2022)
Nonnegative Matrix Factorization through Cone Collapse
por: Nguyen, Manh, et al.
Publicado: (2025)
por: Nguyen, Manh, et al.
Publicado: (2025)
Symmetry Nonnegative Matrix Factorization Algorithm Based on Self-paced Learning
por: Wang, Lei, et al.
Publicado: (2024)
por: Wang, Lei, et al.
Publicado: (2024)
ACTIVA: Amortized Causal Effect Estimation via Transformer-based Variational Autoencoder
por: Sauter, Andreas, et al.
Publicado: (2025)
por: Sauter, Andreas, et al.
Publicado: (2025)
Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis
por: Tao, Zerui, et al.
Publicado: (2024)
por: Tao, Zerui, et al.
Publicado: (2024)
A Unified MDL-based Binning and Tensor Factorization Framework for PDF Estimation
por: Musab, Mustafa, et al.
Publicado: (2025)
por: Musab, Mustafa, et al.
Publicado: (2025)
Coseparable Nonnegative Tensor Factorization With T-CUR Decomposition
por: Chen, Juefei, et al.
Publicado: (2024)
por: Chen, Juefei, et al.
Publicado: (2024)
Ejemplares similares
-
tPARAFAC2: Tracking evolving patterns in (incomplete) temporal data
por: Chatzis, Christos, et al.
Publicado: (2024) -
dCMF: Learning interpretable evolving patterns from temporal multiway data
por: Chatzis, Christos, et al.
Publicado: (2025) -
FCNCP: A Coupled Nonnegative CANDECOMP/PARAFAC Decomposition Based on Federated Learning
por: Cai, Yukai, et al.
Publicado: (2024) -
Fast Learnings of Coupled Nonnegative Tensor Decomposition Using Optimal Gradient and Low-rank Approximation
por: Wang, Xiulin, et al.
Publicado: (2023) -
Supervised Coupled Matrix-Tensor Factorization (SCMTF) for Computational Phenotyping of Patient Reported Outcomes in Ulcerative Colitis
por: Minoccheri, Cristian, et al.
Publicado: (2025)