Fast and Accurate Randomized Algorithms for Low-rank Tensor Decompositions

2 April 2021

Papers citing "Fast and Accurate Randomized Algorithms for Low-rank Tensor Decompositions"

6 / 6 papers shown

Title
Matrix Compression via Randomized Low Rank and Low Precision Factorization R. Saha Varun Srivastava Mert Pilanci 26 19 0 17 Oct 2023
Approximately Optimal Core Shapes for Tensor Decompositions Mehrdad Ghadiri Matthew Fahrbach Gang Fu Vahab Mirrokni 26 8 0 08 Feb 2023
Towards Efficient and Accurate Approximation: Tensor Decomposition Based on Randomized Block Krylov Iteration Y. Qiu Weijun Sun Guoxu Zhou Qianchuan Zhao 40 3 0 27 Nov 2022
Enabling All In-Edge Deep Learning: A Literature Review Praveen Joshi Mohammed Hasanuzzaman Chandra Thapa Haithem Afli T. Scully 43 22 0 07 Apr 2022
A rank-adaptive higher-order orthogonal iteration algorithm for truncated Tucker decomposition Chuanfu Xiao Chao Yang 19 5 0 25 Oct 2021
Tensor Decomposition for Signal Processing and Machine Learning N. Sidiropoulos L. De Lathauwer Xiao Fu Kejun Huang Evangelos E. Papalexakis Christos Faloutsos 117 1,343 0 06 Jul 2016