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[1] Geoffrey E. Hinton,et al. The Helmholtz Machine , 1995, Neural Computation.
[2] Geoffrey E. Hinton,et al. The "wake-sleep" algorithm for unsupervised neural networks. , 1995, Science.
[3] Michael I. Jordan,et al. Mean Field Theory for Sigmoid Belief Networks , 1996, J. Artif. Intell. Res..
[4] Geoffrey E. Hinton,et al. Varieties of Helmholtz Machine , 1996, Neural Networks.
[5] Brendan J. Frey,et al. Graphical Models for Machine Learning and Digital Communication , 1998 .
[6] Samy Bengio,et al. Modeling High-Dimensional Discrete Data with Multi-Layer Neural Networks , 1999, NIPS.
[7] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[8] Yoshua. Bengio,et al. Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..
[9] Ruslan Salakhutdinov,et al. On the quantitative analysis of deep belief networks , 2008, ICML '08.
[10] Ruslan Salakhutdinov,et al. Evaluating probabilities under high-dimensional latent variable models , 2008, NIPS.
[11] Hugo Larochelle,et al. The Neural Autoregressive Distribution Estimator , 2011, AISTATS.
[12] Yoshua Bengio,et al. Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription , 2012, ICML.
[13] Razvan Pascanu,et al. Theano: new features and speed improvements , 2012, ArXiv.
[14] Tapani Raiko,et al. Enhanced Gradient for Training Restricted Boltzmann Machines , 2013, Neural Computation.
[15] Ruslan Salakhutdinov,et al. Learning Stochastic Feedforward Neural Networks , 2013, NIPS.
[16] Yoshua Bengio,et al. Better Mixing via Deep Representations , 2012, ICML.
[17] Karol Gregor,et al. Neural Variational Inference and Learning in Belief Networks , 2014, ICML.
[18] Daan Wierstra,et al. Stochastic Backpropagation and Approximate Inference in Deep Generative Models , 2014, ICML.
[19] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[20] Daan Wierstra,et al. Deep AutoRegressive Networks , 2013, ICML.
[21] Hugo Larochelle,et al. A Deep and Tractable Density Estimator , 2013, ICML.
[22] Max Welling,et al. Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets , 2014, ICML.