Efficient Gradient-Based Inference through Transformations between Bayes
Nets and Neural Nets

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Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets

3 February 2014

Diederik P. Kingma

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Papers citing "Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets"

9 / 9 papers shown

Title
Stochastic Backpropagation and Approximate Inference in Deep Generative Models Danilo Jimenez Rezende S. Mohamed Daan Wierstra BDL 82 139 0 16 Jan 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,929 0 20 Dec 2013
Deep Generative Stochastic Networks Trainable by Backprop Yoshua Bengio Eric Thibodeau-Laufer Guillaume Alain J. Yosinski BDL 131 396 0 05 Jun 2013
Fast Gradient-Based Inference with Continuous Latent Variable Models in Auxiliary Form Diederik P. Kingma 78 40 0 04 Jun 2013
Estimating or Propagating Gradients Through Stochastic Neurons Yoshua Bengio 118 110 0 14 May 2013
Maxout Networks Ian Goodfellow David Warde-Farley M. Berk Mirza Aaron Courville Yoshua Bengio OOD 243 2,178 0 18 Feb 2013
Expectation Propagation for approximate Bayesian inference T. Minka 132 1,907 0 10 Jan 2013
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 453 7,663 0 03 Jul 2012
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 166 4,304 0 18 Nov 2011