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Stochastic Backpropagation and Approximate Inference in Deep Generative Models by Danilo Jimenez Rezende and others (2014)

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Tags: Work by Daan Wierstra, Work by Danilo Jimenez Rezende, Work by Shakir Mohamed
proceedings.mlr.press/v32/rezende14.html
proceedings.mlr.press/v32/rezende14.pdf
Primary ICML2014 paper by Danilo Jimenez Rezende, Shakir Mohamed and Daan Wierstra, PMLR32(2), 1278–1286. Section3.2, equation(10), gives the Gaussian location-scale transformation and its pathwise gradient; sections2 and4 describe generative and recognition models.

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  • Amortized inference
  • Daan Wierstra
  • Danilo Jimenez Rezende
  • Gaussian reparameterization
  • Generative decoder
  • Shakir Mohamed

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