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A Flexible and Efficient Algorithmic Framework for Constrained Matrix and Tensor Factorization

13 June 2015

Papers citing "A Flexible and Efficient Algorithmic Framework for Constrained Matrix and Tensor Factorization"

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Title
Identifiability of Nonnegative Tucker Decompositions -- Part I: Theory Subhayan Saha Giovanni Barbarino Nicolas Gillis 50 0 0 19 May 2025
dCMF: Learning interpretable evolving patterns from temporal multiway data Christos Chatzis Carla Schenker Jérémy E. Cohen E. Acar 432 1 0 26 Feb 2025
Multi-View Spectral Clustering for Graphs with Multiple View Structures Yorgos Tsitsikas Evangelos E. Papalexakis 156 0 0 20 Jan 2025
Low-Rank Tensors for Multi-Dimensional Markov Models Madeline Navarro Sergio Rozada Antonio G. Marques Santiago Segarra 82 2 0 04 Nov 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
ADMM-MM Algorithm for General Tensor Decomposition Manabu Mukai H. Hontani Tatsuya Yokota 23 0 0 19 Dec 2023
Interpretable factorization of clinical questionnaires to identify latent factors of psychopathology K. Lam Bridget W. Mahony Armin Raznahan Francisco Pereira 27 0 0 12 Dec 2023
SWoTTeD: An Extension of Tensor Decomposition to Temporal Phenotyping Hana Sebia Thomas Guyet Etienne Audureau 61 1 0 02 Oct 2023
A Time-aware tensor decomposition for tracking evolving patterns Christos Chatzis Max Pfeffer Pedro Lind E. Acar 46 2 0 14 Aug 2023
Quantization Aware Factorization for Deep Neural Network Compression Daria Cherniuk Stanislav Abukhovich Anh-Huy Phan Ivan Oseledets A. Cichocki Julia Gusak MQ 74 3 0 08 Aug 2023
Scalable and Robust Tensor Ring Decomposition for Large-scale Data Yicong He George Atia 58 1 0 15 May 2023
MASIL: Towards Maximum Separable Class Representation for Few Shot Class Incremental Learning Anant Khandelwal CLL 69 0 0 08 Apr 2023
A Provable Splitting Approach for Symmetric Nonnegative Matrix Factorization Xiao Li Zhihui Zhu Qiuwei Li Kai Liu 51 13 0 25 Jan 2023
CRAFT: Concept Recursive Activation FacTorization for Explainability Thomas Fel Agustin Picard Louis Bethune Thibaut Boissin David Vigouroux Julien Colin Rémi Cadène Thomas Serre 105 116 0 17 Nov 2022
PARAFAC2-based Coupled Matrix and Tensor Factorizations Carla Schenker Xiulin Wang E. Acar 61 5 0 24 Oct 2022
Learning Multivariate CDFs and Copulas using Tensor Factorization Magda Amiridi N. Sidiropoulos 116 1 0 13 Oct 2022
Graph-based Neural Acceleration for Nonnegative Matrix Factorization Jens Sjölund Maria Bånkestad GNN 106 9 0 01 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 177 48 0 01 Feb 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
Efficient Multidimensional Functional Data Analysis Using Marginal Product Basis Systems W. Consagra A. Venkataraman Xing Qiu 70 2 0 30 Jul 2021
Stochastic Mirror Descent for Low-Rank Tensor Decomposition Under Non-Euclidean Losses Wenqiang Pu Shahana Ibrahim Xiao Fu Mingyi Hong 126 9 0 29 Apr 2021
PARAFAC2 AO-ADMM: Constraints in all modes M. Roald Carla Schenker Jérémy E. Cohen E. Acar 30 9 0 03 Feb 2021
eTREE: Learning Tree-structured Embeddings Faisal M. Almutairi Yunlong Wang Dong Wang E. Zhao N. Sidiropoulos 36 4 0 20 Dec 2020
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization Nikos Kargas Cheng Qian N. Sidiropoulos Cao Xiao Lucas Glass Jimeng Sun 36 16 0 08 Dec 2020
Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence L. Hien Nicolas Gillis 79 59 0 05 Oct 2020
Deep matrix factorizations Pierre De Handschutter Nicolas Gillis Xavier Siebert BDL 128 47 0 01 Oct 2020
Dynamical Variational Autoencoders: A Comprehensive Review Laurent Girin Simon Leglaive Xiaoyu Bie Julien Diard Thomas Hueber Xavier Alameda-Pineda BDL 141 222 0 28 Aug 2020
A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations with Linear Couplings Carla Schenker Jérémy E. Cohen E. Acar 56 22 0 19 Jul 2020
Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning Sirisha Rambhatla Xingguo Li Jarvis Haupt 35 13 0 30 Jun 2020
Computing Large-Scale Matrix and Tensor Decomposition with Structured Factors: A Unified Nonconvex Optimization Perspective Xiao Fu Nico Vervliet L. De Lathauwer Kejun Huang Nicolas Gillis CML 49 20 0 15 Jun 2020
Accelerating Block Coordinate Descent for Nonnegative Tensor Factorization A. Ang Jérémy E. Cohen Nicolas Gillis L. Hien 53 10 0 13 Jan 2020
Leveraging Two Reference Functions in Block Bregman Proximal Gradient Descent for Non-convex and Non-Lipschitz Problems Tianxiang Gao Songtao Lu Jia-Wei Liu C. Chu 31 5 0 16 Dec 2019
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms Shahana Ibrahim Xiao Fu Nikos Kargas Kejun Huang FedML 42 33 0 26 Sep 2019
PLANC: Parallel Low Rank Approximation with Non-negativity Constraints Srinivas Eswar Koby Hayashi Grey Ballard R. Kannan Michael A. Matheson Haesun Park 69 10 0 30 Aug 2019
Unsupervised Ensemble Classification with Sequential and Networked Data Panagiotis A. Traganitis G. Giannakis BDL 34 2 0 22 Jun 2019
Blind Hyperspectral-Multispectral Image Fusion via Graph Laplacian Regularization Minh Nguyen Tianming Wang 36 4 0 21 Feb 2019
Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization Xiao Fu Shahana Ibrahim Hoi-To Wai Cheng Gao Kejun Huang 134 37 0 16 Jan 2019
Sparse Nonnegative CANDECOMP/PARAFAC Decomposition in Block Coordinate Descent Framework: A Comparison Study Deqing Wang Fengyu Cong T. Ristaniemi 30 3 0 27 Dec 2018
Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization Zhihui Zhu Xiao Li Kai Liu Qiuwei Li 57 46 0 14 Nov 2018
Generalized Canonical Polyadic Tensor Decomposition David Hong T. Kolda J. Duersch 85 125 0 22 Aug 2018
COPA: Constrained PARAFAC2 for Sparse & Large Datasets Ardavan Afshar Ioakeim Perros Evangelos E. Papalexakis Elizabeth Searles Joyce C. Ho Jimeng Sun 60 42 0 12 Mar 2018
Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications Xiao Fu Kejun Huang N. Sidiropoulos Wing-Kin Ma 79 204 0 03 Mar 2018
Blind Multiclass Ensemble Classification Panagiotis A. Traganitis A. Pagés-Zamora G. Giannakis 44 24 0 08 Dec 2017
Tensors, Learning, and 'Kolmogorov Extension' for Finite-alphabet Random Vectors Nikos Kargas N. Sidiropoulos Xiao Fu 89 41 0 01 Dec 2017
Kullback-Leibler Principal Component for Tensors is not NP-hard Kejun Huang N. Sidiropoulos 39 14 0 21 Nov 2017
Noisy Tensor Completion for Tensors with a Sparse Canonical Polyadic Factor Swayambhoo Jain Alexander Gutierrez Jarvis Haupt 45 4 0 08 Apr 2017
A Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization: Convergence Analysis and Optimality Songtao Lu Mingyi Hong Zhengdao Wang 84 47 0 24 Mar 2017
An Optimization Framework with Flexible Inexact Inner Iterations for Nonconvex and Nonsmooth Programming Yiyang Wang Risheng Liu Xiaoliang Song Zhixun Su 67 1 0 28 Feb 2017