Search Results for author: Durk P. Kingma

Found 2 papers, 1 papers with code

Improved Variational Inference with Inverse Autoregressive Flow

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)

Image Generation Variational Inference

Regularized estimation of image statistics by Score Matching

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.

Image Denoising Super-Resolution

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