Diederik P. Kingma

According to our database1, Diederik P. Kingma authored at least 13 papers between 2010 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Glow: Generative Flow with Invertible 1x1 Convolutions.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning Sparse Neural Networks through L_0 Regularization.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications.
Proceedings of the 5th International Conference on Learning Representations, 2017

Variational Lossy Autoencoder.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Improving Variational Autoencoders with Inverse Autoregressive Flow.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Adam: A Method for Stochastic Optimization.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Variational Recurrent Auto-Encoders.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Markov Chain Monte Carlo and Variational Inference: Bridging the Gap.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Auto-Encoding Variational Bayes.
Proceedings of the 2nd International Conference on Learning Representations, 2014

Semi-supervised Learning with Deep Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets.
Proceedings of the 31th International Conference on Machine Learning, 2014

2010
Regularized estimation of image statistics by Score Matching.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010


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