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Learning Structured Latent Factors from Dependent Data:A Generative
  Model Framework from Information-Theoretic Perspective

Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective

21 July 2020
Ruixiang Zhang
Masanori Koyama
Katsuhiko Ishiguro
    CML
ArXivPDFHTML

Papers citing "Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective"

2 / 2 papers shown
Title
Neural Fourier Transform: A General Approach to Equivariant
  Representation Learning
Neural Fourier Transform: A General Approach to Equivariant Representation Learning
Masanori Koyama
Kenji Fukumizu
Kohei Hayashi
Takeru Miyato
42
8
0
29 May 2023
Learning Representation from Neural Fisher Kernel with Low-rank
  Approximation
Learning Representation from Neural Fisher Kernel with Low-rank Approximation
Ruixiang Zhang
Shuangfei Zhai
Etai Littwin
J. Susskind
SSL
36
3
0
04 Feb 2022
1