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Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis
31 August 2011
Zenglin Xu
Feng Yan
Yuan
Y. Qi
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Papers citing
"Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis"
36 / 36 papers shown
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Efficient Nonparametric Tensor Decomposition for Binary and Count Data
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08 Nov 2023
Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes
Neural Information Processing Systems (NeurIPS), 2023
Zheng Wang
Shikai Fang
Shibo Li
Shandian Zhe
166
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30 Oct 2023
Streaming Factor Trajectory Learning for Temporal Tensor Decomposition
Neural Information Processing Systems (NeurIPS), 2023
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Xin Yu
Shibo Li
Zheng Wang
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25 Oct 2023
SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States
International Conference on Machine Learning (ICML), 2023
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Adam S. Charles
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07 Jun 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
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Yu Pan
Zenglin Xu
Xiangli Yang
Guangxi Li
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Andrzej Cichocki
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22 Jan 2023
GAR: Generalized Autoregression for Multi-Fidelity Fusion
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Yuxin Wang
Zhengrong Xing
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329
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13 Jan 2023
Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition
International Conference on Machine Learning (ICML), 2022
Liang Luo
Shandian Zhe
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06 Jul 2022
Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes
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Liang Luo
Shandian Zhe
256
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19 Oct 2021
Block-term Tensor Neural Networks
Neural Networks (NN), 2020
Jinmian Ye
Guangxi Li
Di Chen
Haiqin Yang
Shandian Zhe
Zenglin Xu
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10 Oct 2020
Streaming Probabilistic Deep Tensor Factorization
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Zheng Wang
Zhimeng Pan
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14 Jul 2020
tvGP-VAE: Tensor-variate Gaussian Process Prior Variational Autoencoder
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08 Jun 2020
Conditional Hierarchical Bayesian Tucker Decomposition for Genetic Data Analysis
Conference on Algebraic Informatics (AI), 2019
Adam Sandler
Diego Klabjan
Yuan Luo
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27 Nov 2019
A Statistically Identifiable Model for Tensor-Valued Gaussian Random Variables
B. S. Dees
Anh-Huy Phan
Danilo P. Mandic
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07 Nov 2019
Probabilistic PARAFAC2
Philip J. H. Jørgensen
S. F. V. Nielsen
Jesper L. Hinrich
Mikkel N. Schmidt
Kristoffer Hougaard Madsen
Morten Mørup
211
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21 Jun 2018
Deep Bayesian Supervised Learning given Hypercuboidally-shaped, Discontinuous Data, using Compound Tensor-Variate & Scalar-Variate Gaussian Processes
Kangrui Wang
D. Chakrabarty
213
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13 Mar 2018
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition
Jinmian Ye
Linnan Wang
Guangxi Li
Di Chen
Shandian Zhe
Xinqi Chu
Zenglin Xu
342
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14 Dec 2017
Beyond Low Rank: A Data-Adaptive Tensor Completion Method
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Wei Wei
Javen Qinfeng Shi
Chunhua Shen
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263
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Vectorial Dimension Reduction for Tensors Based on Bayesian Inference
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281
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Simple and Efficient Parallelization for Probabilistic Temporal Tensor Factorization
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Tensor Decomposition via Variational Auto-Encoder
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A Three Spatial Dimension Wave Latent Force Model for Describing Excitation Sources and Electric Potentials Produced by Deep Brain Stimulation
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Mauricio A. Alvarez
Álvaro A. Orozco
210
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Tensor Ring Decomposition
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Guoxu Zhou
Shengli Xie
Liqing Zhang
A. Cichocki
303
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17 Jun 2016
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations
International Conference on Machine Learning (ICML), 2016
Aaron Schein
Mingyuan Zhou
David M. Blei
Hanna M. Wallach
155
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06 Jun 2016
Collaborative Filtering with Side Information: a Gaussian Process Perspective
Hyunjik Kim
Xiaoyu Lu
Seth Flaxman
Yee Whye Teh
166
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0
23 May 2016
Distributed Flexible Nonlinear Tensor Factorization
Shandian Zhe
Kai Zhang
Pengyuan Wang
Kuang-chih Lee
Zenglin Xu
Y. Qi
Zoubin Ghahramani
354
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0
27 Apr 2016
Linked Component Analysis from Matrices to High Order Tensors: Applications to Biomedical Data
Proceedings of the IEEE (Proc. IEEE), 2015
Guoxu Zhou
Qibin Zhao
Yu Zhang
T. Adalı
Shengli Xie
A. Cichocki
342
192
0
29 Aug 2015
Bayesian Robust Tensor Factorization for Incomplete Multiway Data
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2014
Qibin Zhao
Guoxu Zhou
Liqing Zhang
A. Cichocki
S. Amari
358
225
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09 Oct 2014
Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014
Qibin Zhao
Liqing Zhang
A. Cichocki
634
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25 Jan 2014
Bayesian Models of Graphs, Arrays and Other Exchangeable Random Structures
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2013
Peter Orbanz
Daniel M. Roy
392
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30 Dec 2013
DinTucker: Scaling up Gaussian process models on multidimensional arrays with billions of elements
Shandian Zhe
Y. Qi
Youngja Park
Ian Molloy
Suresh Chari
257
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12 Nov 2013
Stochastic blockmodel approximation of a graphon: Theory and consistent estimation
Neural Information Processing Systems (NeurIPS), 2013
E. Airoldi
Thiago B. Costa
Stanley H. Chan
491
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07 Nov 2013
Learning Tensors in Reproducing Kernel Hilbert Spaces with Multilinear Spectral Penalties
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L. De Lathauwer
Johan A. K. Suykens
188
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18 Oct 2013
Learning Densities Conditional on Many Interacting Features
David C. Kessler
Jack A. Taylor
David B. Dunson
174
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26 Apr 2013
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