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Compositional Hierarchical Tensor Factorization: Representing
  Hierarchical Intrinsic and Extrinsic Causal Factors

Compositional Hierarchical Tensor Factorization: Representing Hierarchical Intrinsic and Extrinsic Causal Factors

11 November 2019
M. Alex O. Vasilescu
E. Kim
    CoGe
    CVBM
ArXivPDFHTML

Papers citing "Compositional Hierarchical Tensor Factorization: Representing Hierarchical Intrinsic and Extrinsic Causal Factors"

5 / 5 papers shown
Title
Causal Deep Learning
Causal Deep Learning
M. Alex O. Vasilescu
CML
54
2
1
03 Jan 2025
A Generalized Hierarchical Nonnegative Tensor Decomposition
A Generalized Hierarchical Nonnegative Tensor Decomposition
Joshua Vendrow
Jamie Haddock
Deanna Needell
22
3
0
30 Sep 2021
Tensor Methods in Computer Vision and Deep Learning
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
CausalX: Causal Explanations and Block Multilinear Factor Analysis
CausalX: Causal Explanations and Block Multilinear Factor Analysis
M. Alex O. Vasilescu
Eric Kim
Xiao-Song Zeng
CML
20
10
0
25 Feb 2021
Tensor Decomposition for Signal Processing and Machine Learning
Tensor Decomposition for Signal Processing and Machine Learning
N. Sidiropoulos
L. De Lathauwer
Xiao Fu
Kejun Huang
Evangelos E. Papalexakis
Christos Faloutsos
105
1,342
0
06 Jul 2016
1