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"Random Matrix Theory Proves that Deep Learning Representations of GAN-data ..."

Mohamed El Amine Seddik et al. (2020)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2020-12-15

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  - electronic edition @ mlr.press (open access)
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  dblp key:
  - conf/icml/SeddikLTC20
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  persistent URL:
  - https://dblp.org/rec/conf/icml/SeddikLTC20
Mohamed El Amine Seddik, Cosme Louart, Mohamed Tamaazousti, Romain Couillet:
Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures. ICML 2020: 8573-8582

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