v1v2 (latest)

GSNs : Generative Stochastic Networks

18 March 2015

Eric Thibodeau-Laufer

Saizheng Zhang

Pascal Vincent

BDL

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Papers citing "GSNs : Generative Stochastic Networks"

26 / 26 papers shown

Title
Deep Haar Scattering Networks Xiuyuan Cheng Xu Chen S. Mallat 80 31 0 30 Sep 2015
On Invariance and Selectivity in Representation Learning Fabio Anselmi Lorenzo Rosasco T. Poggio 99 105 0 19 Mar 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 312 7,016 0 12 Mar 2015
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 234 8,348 0 06 Nov 2014
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 131 2,268 0 30 Oct 2014
Deep Directed Generative Autoencoders Sherjil Ozair Yoshua Bengio DRL 56 18 0 02 Oct 2014
On the Equivalence Between Deep NADE and Generative Stochastic Networks L. Yao Sherjil Ozair Kyunghyun Cho Yoshua Bengio BDL 66 9 0 02 Sep 2014
Reweighted Wake-Sleep J. Bornschein Yoshua Bengio BDL 109 183 0 11 Jun 2014
Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction Jian Zhou O. Troyanskaya 93 146 0 06 Mar 2014
Neural Variational Inference and Learning in Belief Networks A. Mnih Karol Gregor BDL 198 729 0 31 Jan 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,923 0 20 Dec 2013
Multimodal Transitions for Generative Stochastic Networks Sherjil Ozair L. Yao Yoshua Bengio 74 10 0 19 Dec 2013
Bounding the Test Log-Likelihood of Generative Models Yoshua Bengio L. Yao Kyunghyun Cho TPM 71 23 0 24 Nov 2013
Deep AutoRegressive Networks Karol Gregor Ivo Danihelka A. Mnih Charles Blundell Daan Wierstra AI4TS BDL 102 282 0 31 Oct 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 84 40 0 04 Jun 2013
Generalized Denoising Auto-Encoders as Generative Models Yoshua Bengio L. Yao Guillaume Alain Pascal Vincent 118 540 0 29 May 2013
Estimating or Propagating Gradients Through Stochastic Neurons Yoshua Bengio 121 111 0 14 May 2013
A Semantic Matching Energy Function for Learning with Multi-relational Data Xavier Glorot Antoine Bordes Jason Weston Yoshua Bengio 101 694 0 15 Jan 2013
Texture Modeling with Convolutional Spike-and-Slab RBMs and Deep Extensions Heng Luo P. Carrier Aaron Courville Yoshua Bengio BDL 84 25 0 24 Nov 2012
What Regularized Auto-Encoders Learn from the Data Generating Distribution Guillaume Alain Yoshua Bengio OOD DRL 72 505 0 18 Nov 2012
Better Mixing via Deep Representations Yoshua Bengio Grégoire Mesnil Yann N. Dauphin Salah Rifai 81 341 0 18 Jul 2012
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 463 7,667 0 03 Jul 2012
A Generative Process for Sampling Contractive Auto-Encoders Salah Rifai Yoshua Bengio Yann N. Dauphin Pascal Vincent GAN DRL 87 51 0 27 Jun 2012
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 278 12,458 0 24 Jun 2012
Sum-Product Networks: A New Deep Architecture Hoifung Poon Pedro M. Domingos TPM 81 761 0 14 Feb 2012