generative model

Probabilistic acoustic tube: a probabilistic generative model of speech for speech analysis/synthesis AISTATS 2012 Probabilistic Event Cascades for Alzheimer's disease NeurIPS 2012 Recognizing Activities by Attribute Dynamics NeurIPS 2012 Subset Infinite Relational Models AISTATS 2012 Topographic Analysis of Correlated Components ACML 2012 Unsupervised Structure Discovery for Semantic Analysis of Audio NeurIPS 2012 Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding NeurIPS 2012 Discussion of “The Neural Autoregressive Distribution Estimator” AISTATS 2011 EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning NeurIPS 2011 Evaluating the inverse decision-making approach to preference learning NeurIPS 2011 Expressive Power and Approximation Errors of Restricted Boltzmann Machines NeurIPS 2011 Generative Kernels for Exponential Families AISTATS 2011 Group Anomaly Detection using Flexible Genre Models NeurIPS 2011 Image Parsing with Stochastic Scene Grammar NeurIPS 2011 Joint 3D Estimation of Objects and Scene Layout NeurIPS 2011 Learning Class-relevant Features and Class-irrelevant Features via a Hybrid third-order RBM AISTATS 2011 The Neural Autoregressive Distribution Estimator AISTATS 2011 Two Distributed-State Models For Generating High-Dimensional Time Series JMLR 2011 Variational Learning for Recurrent Spiking Networks NeurIPS 2011 Coherent Inference on Optimal Play in Game Trees AISTATS 2010 Efficient Learning of Deep Boltzmann Machines AISTATS 2010 Empirical Risk Minimization with Approximations of Probabilistic Grammars NeurIPS 2010 Evaluation of Rarity of Fingerprints in Forensics NeurIPS 2010 Expectation Truncation and the Benefits of Preselection In Training Generative Models JMLR 2010 Generating more realistic images using gated MRF's NeurIPS 2010