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Diederik P. Kingma

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Papers (14)

  1. Imagen Video: High Definition Video Generation with Diffusion Models cs.CV · 2022 · author #7
  2. Score-Based Generative Modeling through Stochastic Differential Equations cs.LG · 2020 · author #3
  3. Glow: Generative Flow with Invertible 1x1 Convolutions stat.ML · 2018 · author #1
  4. Learning Sparse Neural Networks through $L_0$ Regularization stat.ML · 2017 · author #3
  5. PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications cs.LG · 2017 · author #4
  6. Variational Lossy Autoencoder cs.LG · 2016 · author #2
  7. Improving Variational Inference with Inverse Autoregressive Flow cs.LG · 2016 · author #1
  8. Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks cs.LG · 2016 · author #2
  9. Variational Dropout and the Local Reparameterization Trick stat.ML · 2015 · author #1
  10. Note on Equivalence Between Recurrent Neural Network Time Series Models and Variational Bayesian Models cs.LG · 2015 · author #2
  11. Adam: A Method for Stochastic Optimization cs.LG · 2014 · author #1
  12. Markov Chain Monte Carlo and Variational Inference: Bridging the Gap stat.CO · 2014 · author #2
  13. Semi-Supervised Learning with Deep Generative Models cs.LG · 2014 · author #1
  14. Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets cs.LG · 2014 · author #1

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