News and Publications

News

Recent Publications (Ph.D. research, 2013-…)

See my Google Scholar profile for more information.

D.P. Kingma, T. Salimans, R. Jozefowicz, I. Sutskever, M. Welling
Improving Variational Autoencoders with Inverse Autoregressive Flow
Advances in Neural Information Processing Systems 29 (NIPS), Barcelona, 2016
[arXiv preprint]

T. Salimans, D.P. Kingma
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Advances in Neural Information Processing Systems 29 (NIPS), Barcelona, 2016
[arXiv preprint]

D.P. Kingma, T. Salimans, M. Welling
Variational Dropout and the Local Reparameterization Trick
Advances in Neural Information Processing Systems 28 (NIPS), Montreal, 2015
[arXiv preprint]

T. Salimans, D.P. Kingma, M. Welling
Markov Chain Monte Carlo and Variational Inference: Bridging the Gap
Proceedings of the International Conference on Machine Learning (ICML), Lille, 2015
[arXiv preprint]

D.P. Kingma, J. Ba
Adam: A Method for Stochastic Optimization
The International Conference on Learning Representations (ICLR), San Diego, 2015
[arXiv preprint]

D.P. Kingma, D.J. Rezende, S. Mohamed, M. Welling
Semi-Supervised Learning with Deep Generative Models
Advances in Neural Information Processing Systems 27 (NIPS), Montreal, 2014
[arXiv preprint]

D.P. Kingma, M. Welling
Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets
Proceedings of the International Conference on Machine Learning (ICML), Beijing, 2014
[arXiv preprint]

D.P. Kingma, M. Welling
Auto-Encoding Variational Bayes
The International Conference on Learning Representations (ICLR), Banff, 2014
[arXiv preprint]

D.P. Kingma, M. Welling
Stochastic Gradient VB and the Variational Auto-Encoder
2nd International Conference on Learning Representationsm (ICLR), Banff, 2014
[PDF]
(Alternative title of “Auto-Encoding Variational Bayes”)

Earlier Publications (M.Sc. thesis, 2009-2010):

D.P. Kingma, Y. LeCun
Regularized Estimation of Image Statistics by Score Matching
Advances in Neural Information Processing Systems 23 (NIPS), Vancouver, 2010, 1126-1134
[PDF]

D.P. Kingma
Improving Score Matching for Regularized Estimation of Image Statistics
M.Sc. Thesis, Universiteit Utrecht, 2010
[PDF]