Generative Models

On the Representational Efficiency of Restricted Boltzmann Machines NeurIPS 2013 Relevance Topic Model for Unstructured Social Group Activity Recognition NeurIPS 2013 Restoring an Image Taken through a Window Covered with Dirt or Rain ICCV 2013 RNADE: The real-valued neural autoregressive density-estimator NeurIPS 2013 Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex NeurIPS 2013 Texture Modeling with Convolutional Spike-and-Slab RBMs and Deep Extensions AISTATS 2013 Understanding High-Level Semantics by Modeling Traffic Patterns ICCV 2013 Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines CVPR 2013 A Better Way to Pretrain Deep Boltzmann Machines NeurIPS 2012 A Generative Model for Parts-based Object Segmentation NeurIPS 2012 A Neural Autoregressive Topic Model NeurIPS 2012 Cardinality Restricted Boltzmann Machines NeurIPS 2012 Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis ACML 2012 Deep Boltzmann Machines as Feed-Forward Hierarchies AISTATS 2012 Discriminative Learning of Sum-Product Networks NeurIPS 2012 Hierarchical spike coding of sound NeurIPS 2012 Image Denoising and Inpainting with Deep Neural Networks NeurIPS 2012 Learning Algorithms for the Classification Restricted Boltzmann Machine JMLR 2012 Learning as MAP Inference in Discrete Graphical Models NeurIPS 2012 Learning the Architecture of Sum-Product Networks Using Clustering on Variables NeurIPS 2012 Learning visual motion in recurrent neural networks NeurIPS 2012 Multimodal Learning with Deep Boltzmann Machines NeurIPS 2012 Multiple Texture Boltzmann Machines AISTATS 2012 Priors for Diversity in Generative Latent Variable Models NeurIPS 2012 Training sparse natural image models with a fast Gibbs sampler of an extended state space NeurIPS 2012