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restricted boltzmann machine

98 papers

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Also known as

RBM

Co-occurring keywords

generative model (2892) deep belief network (37) unsupervised learning (3264) feature learning (1311) contrastive divergence (32) energy-based model (251) representation learning (6206) neural network (6616) deep learning (2118) probabilistic modeling (852)

Papers

A Spike and Slab Restricted Boltzmann Machine AISTATS 2011
Learning Class-relevant Features and Class-irrelevant Features via a Hybrid third-order RBM AISTATS 2011
Robust Generation of Dynamical Patterns in Human Motion by a Deep Belief Nets ACML 2011
Mixed-Variate Restricted Boltzmann Machines ACML 2011
Two Distributed-State Models For Generating High-Dimensional Time Series JMLR 2011
The Neural Autoregressive Distribution Estimator AISTATS 2011
Expressive Power and Approximation Errors of Restricted Boltzmann Machines NIPS 2011
On Tracking The Partition Function NIPS 2011
Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines NIPS 2011
An Analysis of Single-Layer Networks in Unsupervised Feature Learning AISTATS 2011
Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images AISTATS 2010
Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine NIPS 2010
Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development NIPS 2010
Stochastic Complexity and Generalization Error of a Restricted Boltzmann Machine in Bayesian Estimation JMLR 2010
Inductive Principles for Restricted Boltzmann Machine Learning AISTATS 2010
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines AISTATS 2010
Parallelizable Sampling of Markov Random Fields AISTATS 2010
On the Convergence Properties of Contrastive Divergence AISTATS 2010
Exploring Strategies for Training Deep Neural Networks JMLR 2009
The Recurrent Temporal Restricted Boltzmann Machine NIPS 2008
Implicit Mixtures of Restricted Boltzmann Machines NIPS 2008
Generative versus discriminative training of RBMs for classification of fMRI images NIPS 2008
Sparse Feature Learning for Deep Belief Networks NIPS 2007