Tensor Networks for Dimensionality Reduction and Large-Scale
Optimizations. Part 2 Applications and Future Perspectives

Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives

30 August 2017

Ivan V. Oseledets

Masashi Sugiyama

Danilo P. Mandic

Papers citing "Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives"

17 / 17 papers shown

Title
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models Frederiek Wesel Kim Batselier 19 1 0 11 Sep 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives Maolin Wang Y. Pan Zenglin Xu Xiangli Yang Guangxi Li A. Cichocki Andrzej Cichocki 47 19 0 22 Jan 2023
Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Multi-Way Financial Modelling Y. Xu Kriton Konstantinidis Danilo P. Mandic 19 1 0 26 Oct 2022
Sampling-Based Decomposition Algorithms for Arbitrary Tensor Networks Osman Asif Malik V. Bharadwaj Riley Murray 24 4 0 07 Oct 2022
Lifetime-based Optimization for Simulating Quantum Circuits on a New Sunway Supercomputer Yaojian Chen Yong Liu X. Shi Jiawei Song Xin Liu ... Chunyi Guo H. Fu Jie Gao Dexun Chen Guangwen Yang 24 8 0 01 May 2022
Distributed non-negative RESCAL with Automatic Model Selection for Exascale Data Manish Bhattarai Namita Kharat E. Skau B. Nebgen H. Djidjev S. Rajopadhye James P. Smith Boian Alexandrov 22 10 0 19 Feb 2022
Model based Multi-agent Reinforcement Learning with Tensor Decompositions Pascal R. van der Vaart Anuj Mahajan Shimon Whiteson AI4CE 23 8 0 27 Oct 2021
A rank-adaptive higher-order orthogonal iteration algorithm for truncated Tucker decomposition Chuanfu Xiao Chao Yang 11 5 0 25 Oct 2021
More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees Osman Asif Malik 28 14 0 14 Oct 2021
Tensor Methods in Computer Vision and Deep Learning Yannis Panagakis Jean Kossaifi Grigorios G. Chrysos James Oldfield M. Nicolaou Anima Anandkumar S. Zafeiriou 19 119 0 07 Jul 2021
Marginalizable Density Models D. Gilboa Ari Pakman Thibault Vatter BDL 32 5 0 08 Jun 2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning Anuj Mahajan Mikayel Samvelyan Lei Mao Viktor Makoviychuk Animesh Garg Jean Kossaifi Shimon Whiteson Yuke Zhu Anima Anandkumar 26 32 0 31 May 2021
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting Y. Xu G. G. Calvi Danilo P. Mandic AI4TS 16 11 0 11 May 2021
Rank-R FNN: A Tensor-Based Learning Model for High-Order Data Classification Konstantinos Makantasis Alexandros Georgogiannis A. Voulodimos Ioannis Georgoulas Anastasios Doulamis N. Doulamis 24 21 0 11 Apr 2021
Entangled q-Convolutional Neural Nets V. Anagiannis Miranda C. N. Cheng 14 5 0 06 Mar 2021
Generalized Tensor Models for Recurrent Neural Networks Valentin Khrulkov Oleksii Hrinchuk Ivan V. Oseledets GNN 24 25 0 30 Jan 2019
Tensorial Neural Networks: Generalization of Neural Networks and Application to Model Compression Jiahao Su Jingling Li Bobby Bhattacharjee Furong Huang 14 20 0 25 May 2018