NIPS Proceedingsβ

Durk P. Kingma

6 Papers

  • Glow: Generative Flow with Invertible 1x1 Convolutions (2018)
  • Improved Variational Inference with Inverse Autoregressive Flow (2016)
  • Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks (2016)
  • Variational Dropout and the Local Reparameterization Trick (2015)
  • Semi-supervised Learning with Deep Generative Models (2014)
  • Regularized estimation of image statistics by Score Matching (2010)