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[1] Paul Smolensky,et al. Information processing in dynamical systems: foundations of harmony theory , 1986 .
[2] Radford M. Neal. Connectionist Learning of Belief Networks , 1992, Artif. Intell..
[3] Geoffrey E. Hinton,et al. The Helmholtz Machine , 1995, Neural Computation.
[4] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[5] Ronald J. Williams,et al. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning , 2004, Machine Learning.
[6] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[7] Vibhav Gogate,et al. Studies in Lower Bounding Probabilities of Evidence using the Markov Inequality , 2007, UAI.
[8] Ruslan Salakhutdinov,et al. On the quantitative analysis of deep belief networks , 2008, ICML '08.
[9] Ruslan Salakhutdinov,et al. Evaluating probabilities under high-dimensional latent variable models , 2008, NIPS.
[10] Geoffrey E. Hinton,et al. Deep Boltzmann Machines , 2009, AISTATS.
[11] Hugo Larochelle,et al. Efficient Learning of Deep Boltzmann Machines , 2010, AISTATS.
[12] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[13] Hugo Larochelle,et al. The Neural Autoregressive Distribution Estimator , 2011, AISTATS.
[14] Joshua B. Tenenbaum,et al. One-shot learning by inverting a compositional causal process , 2013, NIPS.
[15] Ruslan Salakhutdinov,et al. Learning Stochastic Feedforward Neural Networks , 2013, NIPS.
[16] Karol Gregor,et al. Neural Variational Inference and Learning in Belief Networks , 2014, ICML.
[17] Daan Wierstra,et al. Stochastic Backpropagation and Approximate Inference in Deep Generative Models , 2014, ICML.
[18] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[19] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[20] Max Welling,et al. Semi-supervised Learning with Deep Generative Models , 2014, NIPS.
[21] Daan Wierstra,et al. Deep AutoRegressive Networks , 2013, ICML.
[22] Shakir Mohamed,et al. Variational Inference with Normalizing Flows , 2015, ICML.
[23] Zoubin Ghahramani,et al. Training generative neural networks via Maximum Mean Discrepancy optimization , 2015, UAI.
[24] Ruslan Salakhutdinov,et al. Scaling up Natural Gradient by Sparsely Factorizing the Inverse Fisher Matrix , 2015, ICML.
[25] Joshua B. Tenenbaum,et al. Deep Convolutional Inverse Graphics Network , 2015, NIPS.
[26] Max Welling,et al. Markov Chain Monte Carlo and Variational Inference: Bridging the Gap , 2014, ICML.
[27] Koray Kavukcuoglu,et al. Multiple Object Recognition with Visual Attention , 2014, ICLR.
[28] Yoshua Bengio,et al. Reweighted Wake-Sleep , 2014, ICLR.
[29] Ruslan Salakhutdinov,et al. Accurate and conservative estimates of MRF log-likelihood using reverse annealing , 2014, AISTATS.
[30] Alex Graves,et al. DRAW: A Recurrent Neural Network For Image Generation , 2015, ICML.
[31] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[32] Richard S. Zemel,et al. Generative Moment Matching Networks , 2015, ICML.
[33] Xinyun Chen. Under Review as a Conference Paper at Iclr 2017 Delving into Transferable Adversarial Ex- Amples and Black-box Attacks , 2016 .