Corpus ID: 1879195

Concept Formation and Dynamics of Repeated Inference in Deep Generative Models

@article{Nagano2017ConceptFA,
  title={Concept Formation and Dynamics of Repeated Inference in Deep Generative Models},
  author={Yoshihiro Nagano and Ryo Karakida and M. Okada},
  journal={ArXiv},
  year={2017},
  volume={abs/1712.04195}
}
  • Yoshihiro Nagano, Ryo Karakida, M. Okada
  • Published 2017
  • Computer Science, Mathematics, Biology
  • ArXiv
  • Deep generative models are reported to be useful in broad applications including image generation. Repeated inference between data space and latent space in these models can denoise cluttered images and improve the quality of inferred results. However, previous studies only qualitatively evaluated image outputs in data space, and the mechanism behind the inference has not been investigated. The purpose of the current study is to numerically analyze changes in activity patterns of neurons in the… CONTINUE READING

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