A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations with Linear Couplings

19 July 2020

Papers citing "A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations with Linear Couplings"

8 / 8 papers shown

Title
Personalized Coupled Tensor Decomposition for Multimodal Data Fusion: Uniqueness and Algorithms Ricardo Augusto Borsoi K. Usevich D. Brie Tülay Adali 120 1 0 02 Dec 2024
tPARAFAC2: Tracking evolving patterns in (incomplete) temporal data Christos Chatzis Carla Schenker Max Pfeffer E. Acar 89 1 0 01 Jul 2024
PARAFAC2-based Coupled Matrix and Tensor Factorizations with Constraints Carla Schenker Xiulin Wang David Horner Morten A. Rasmussen E. Acar 88 0 0 18 Jun 2024
Fast Learnings of Coupled Nonnegative Tensor Decomposition Using Optimal Gradient and Low-rank Approximation Xiulin Wang T. Ristaniemi Fengyu Cong 42 0 0 10 Feb 2023
PARAFAC2-based Coupled Matrix and Tensor Factorizations Carla Schenker Xiulin Wang E. Acar 61 5 0 24 Oct 2022
Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions Florian Becker A. Smilde E. Acar 60 5 0 01 Sep 2022
Dictionary-based Low-Rank Approximations and the Mixed Sparse Coding problem Jérémy E. Cohen 45 0 0 24 Nov 2021
An AO-ADMM approach to constraining PARAFAC2 on all modes M. Roald Carla Schenker Vince D. Calhoun Tülay Adalı R. Bro Jérémy E. Cohen E. Acar 81 23 0 04 Oct 2021