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Diederik P. Kingma

University of Amsterdam

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Publication

Featured researches published by Diederik P. Kingma.

international conference on learning representations | 2015

Adam: A Method for Stochastic Optimization

Diederik P. Kingma; Jimmy Ba

international conference on learning representations | 2014

Auto-Encoding Variational Bayes

Diederik P. Kingma; Max Welling

neural information processing systems | 2014

Semi-supervised Learning with Deep Generative Models

Diederik P. Kingma; Shakir Mohamed; Danilo Jimenez Rezende; Max Welling

neural information processing systems | 2016

Weight normalization: a simple reparameterization to accelerate training of deep neural networks

Tim Salimans; Diederik P. Kingma

international conference on machine learning | 2015

Markov Chain Monte Carlo and Variational Inference: Bridging the Gap

Tim Salimans; Diederik P. Kingma; Max Welling

neural information processing systems | 2015

Variational dropout and the local reparameterization trick

Diederik P. Kingma; Tim Salimans; Max Welling

international conference on learning representations | 2017

Variational Lossy Autoencoder

Xi Chen; Diederik P. Kingma; Tim Salimans; Yan Duan; Prafulla Dhariwal; John Schulman; Ilya Sutskever; Pieter Abbeel

neural information processing systems | 2016

Improving Variational Inference with Inverse Autoregressive Flow.

Diederik P. Kingma; Tim Salimans; Max Welling

international conference on learning representations | 2017

PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

Tim Salimans; Andrej Karpathy; Xi Chen; Diederik P. Kingma

Archive | 2013

Stochastic Gradient VB and the Variational Auto-Encoder

Diederik P. Kingma; Max Welling

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Collaboration

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Max Welling

University of Amsterdam

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Tim Salimans

OpenAI

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Xi Chen

Columbia University

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Ilya Sutskever

OpenAI

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Rafal Jozefowicz

Google

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Christos Louizos

University of Amsterdam

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Andrej Karpathy

OpenAI

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Danilo Jimenez Rezende

Google

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Jascha Sohl-Dickstein

Cornell University

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John Schulman

University of California

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