2 code implementations • NeurIPS 2016 • Durk P. Kingma, Tim Salimans, Rafal Jozefowicz, Xi Chen, Ilya Sutskever, Max Welling
The framework of normalizing flows provides a general strategy for flexible variational inference of posteriors over latent variables.
Ranked #40 on Image Generation on CIFAR-10 (bits/dimension metric)
no code implementations • NeurIPS 2010 • Durk P. Kingma, Yann L. Cun
Score Matching is a recently-proposed criterion for training high-dimensional density models for which maximum likelihood training is intractable.