Generative Models

Structured Determinantal Point Processes NeurIPS 2010 The Maximal Causes of Natural Scenes are Edge Filters NeurIPS 2010 3D Object Recognition with Deep Belief Nets NeurIPS 2009 Evaluating multi-class learning strategies in a generative hierarchical framework for object detection NeurIPS 2009 Free energy score space NeurIPS 2009 Learning in Markov Random Fields using Tempered Transitions NeurIPS 2009 Replicated Softmax: an Undirected Topic Model NeurIPS 2009 DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification NeurIPS 2008 Evaluating probabilities under high-dimensional latent variable models NeurIPS 2008 Generative versus discriminative training of RBMs for classification of fMRI images NeurIPS 2008 Implicit Mixtures of Restricted Boltzmann Machines NeurIPS 2008 Maximal Causes for Non-linear Component Extraction JMLR 2008 The Recurrent Temporal Restricted Boltzmann Machine NeurIPS 2008 Modeling image patches with a directed hierarchy of Markov random fields NeurIPS 2007 Sparse deep belief net model for visual area V2 NeurIPS 2007 Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes NeurIPS 2007 Learning Image Components for Object Recognition JMLR 2006 Learning Parts-Based Representations of Data JMLR 2006 Modeling Human Motion Using Binary Latent Variables NeurIPS 2006 Probability Product Kernels JMLR 2004 A Neural Probabilistic Language Model JMLR 2003 Energy-Based Models for Sparse Overcomplete Representations JMLR 2003