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Generative Models

7,221 papers

Papers per year

11
34
709
943
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Papers

Learning Algorithms for the Classification Restricted Boltzmann Machine JMLR 2012
Learning to Learn with Compound HD Models NIPS 2011
On Tracking The Partition Function NIPS 2011
Expressive Power and Approximation Errors of Restricted Boltzmann Machines NIPS 2011
Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability NIPS 2011
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning NIPS 2011
Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines NIPS 2011
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities NIPS 2011
Mixed-Variate Restricted Boltzmann Machines ACML 2011
Robust Generation of Dynamical Patterns in Human Motion by a Deep Belief Nets ACML 2011
The Neural Autoregressive Distribution Estimator AISTATS 2011
Discussion of “The Neural Autoregressive Distribution Estimator” AISTATS 2011
Generative Kernels for Exponential Families AISTATS 2011
Robust Bayesian Matrix Factorisation AISTATS 2011
Two Distributed-State Models For Generating High-Dimensional Time Series JMLR 2011
Generative Local Metric Learning for Nearest Neighbor Classification NIPS 2010
Empirical Risk Minimization with Approximations of Probabilistic Grammars NIPS 2010
Structured Determinantal Point Processes NIPS 2010
Gated Softmax Classification NIPS 2010
Generating more realistic images using gated MRF's NIPS 2010
The Maximal Causes of Natural Scenes are Edge Filters NIPS 2010
Regularized estimation of image statistics by Score Matching NIPS 2010
Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model NIPS 2010
Inductive Principles for Restricted Boltzmann Machine Learning AISTATS 2010
Efficient Learning of Deep Boltzmann Machines AISTATS 2010