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COPA: Constrained PARAFAC2 for Sparse & Large Datasets

12 March 2018

Ardavan Afshar

Ioakeim Perros

Evangelos E. Papalexakis

Elizabeth Searles

Joyce C. Ho

Jimeng Sun

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Papers citing "COPA: Constrained PARAFAC2 for Sparse & Large Datasets"

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Title
D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams Shingo Higashiguchi Yasuko Matsubara Koki Kawabata Taichi Murayama Yasushi Sakurai AI4TS 84 0 0 01 May 2025
Revisiting Large Language Model Pruning using Neuron Semantic Attribution Yizhuo Ding Xinwei Sun Yanwei Fu Guosheng Hu 73 2 0 03 Mar 2025
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
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization Haoran You Yipin Guo Yichao Fu Wei Zhou Huihong Shi Xiaofan Zhang Souvik Kundu Amir Yazdanbakhsh Y. Lin KELM 117 11 0 10 Jun 2024
ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks Xiaoxia Wu Haojun Xia Stephen Youn Zhen Zheng Shiyang Chen ... Reza Yazdani Aminabadi Yuxiong He Olatunji Ruwase Leon Song Zhewei Yao 127 10 0 14 Dec 2023
SWoTTeD: An Extension of Tensor Decomposition to Temporal Phenotyping Hana Sebia Thomas Guyet Etienne Audureau 63 1 0 02 Oct 2023
Fast and Accurate Dual-Way Streaming PARAFAC2 for Irregular Tensors -- Algorithm and Application Jun-Gi Jang Jeongyoung Lee Yong-chan Park U. Kang 48 4 0 28 May 2023
DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing Conglong Li Z. Yao Xiaoxia Wu Minjia Zhang Connor Holmes Cheng Li Yuxiong He 69 25 0 07 Dec 2022
Random-LTD: Random and Layerwise Token Dropping Brings Efficient Training for Large-scale Transformers Z. Yao Xiaoxia Wu Conglong Li Connor Holmes Minjia Zhang Cheng-rong Li Yuxiong He 87 12 0 17 Nov 2022
Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions Florian Becker A. Smilde E. Acar 62 5 0 01 Sep 2022
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning Yifei Ren Jian Lou Li Xiong Joyce C. Ho Xiaoqian Jiang Sivasubramanium Bhavan OOD 71 3 0 01 Aug 2022
ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers Z. Yao Reza Yazdani Aminabadi Minjia Zhang Xiaoxia Wu Conglong Li Yuxiong He VLM MQ 174 484 0 04 Jun 2022
DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors Jun-Gi Jang U. Kang 45 11 0 24 Mar 2022
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
PARAFAC2 AO-ADMM: Constraints in all modes M. Roald Carla Schenker Jérémy E. Cohen E. Acar 30 9 0 03 Feb 2021
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors Ardavan Afshar Kejing Yin Sherry H. F. Yan Cheng Qian Joyce C. Ho Haesun Park Jimeng Sun 38 11 0 08 Oct 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
Patient Similarity Analysis with Longitudinal Health Data Ahmed Allam Matthias Dittberner A. Sintsova D. Brodbeck Michael Krauthammer 110 14 0 14 May 2020
TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records Ardavan Afshar Ioakeim Perros Haesun Park C. Defilippi Xiaowei Yan Walter F. Stewart Joyce C. Ho Jimeng Sun 61 34 0 13 Nov 2019
Tracing Network Evolution Using the PARAFAC2 Model M. Roald Suchita Bhinge Chunying Jia Vince D. Calhoun T. Adalı E. Acar 35 14 0 23 Oct 2019