deep generative model

GibbsNet: Iterative Adversarial Inference for Deep Graphical Models NeurIPS 2017 Prediction and Control with Temporal Segment Models ICML 2017 Probabilistic Typology: Deep Generative Models of Vowel Inventories ACL 2017 Wasserstein Learning of Deep Generative Point Process Models NeurIPS 2017 A Deep Generative Deconvolutional Image Model AISTATS 2016 An Architecture for Deep, Hierarchical Generative Models NeurIPS 2016 One-Shot Generalization in Deep Generative Models ICML 2016 Towards Conceptual Compression NeurIPS 2016 Unsupervised Learning of 3D Structure from Images NeurIPS 2016 Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks NeurIPS 2015 Deep Temporal Sigmoid Belief Networks for Sequence Modeling NeurIPS 2015 Generative Moment Matching Networks ICML 2015 Learning Deep Sigmoid Belief Networks with Data Augmentation AISTATS 2015 Max-Margin Deep Generative Models NeurIPS 2015 The Poisson Gamma Belief Network NeurIPS 2015 Factoring Variations in Natural Images with Deep Gaussian Mixture Models NeurIPS 2014 Semi-supervised Learning with Deep Generative Models NeurIPS 2014 Stochastic Backpropagation and Approximate Inference in Deep Generative Models ICML 2014 Learning the Architecture of Sum-Product Networks Using Clustering on Variables NeurIPS 2012 Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes NeurIPS 2007