Models

Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction ICML 2014 Doubly Stochastic Variational Bayes for non-Conjugate Inference ICML 2014 Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets ICML 2014 Factoring Variations in Natural Images with Deep Gaussian Mixture Models NeurIPS 2014 General Stochastic Networks for Classification NeurIPS 2014 Generative Adversarial Nets NeurIPS 2014 Improved Multimodal Deep Learning with Variation of Information NeurIPS 2014 Iterative Neural Autoregressive Distribution Estimator NADE-k NeurIPS 2014 Learning Generative Models with Visual Attention NeurIPS 2014 Learning Non-Linear Reconstruction Models for Image Set Classification CVPR 2014 Modeling Image Patches with a Generic Dictionary of Mini-Epitomes CVPR 2014 Multimodal Learning with Deep Boltzmann Machines JMLR 2014 Neural Variational Inference and Learning in Belief Networks ICML 2014 Restricted Boltzmann machines modeling human choice NeurIPS 2014 Semi-supervised Learning with Deep Generative Models NeurIPS 2014 Sequence to Sequence Learning with Neural Networks NeurIPS 2014 Stochastic Backpropagation and Approximate Inference in Deep Generative Models ICML 2014 The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities CVPR 2014 Variational Gaussian Inference for Bilinear Models of Count Data ACML 2014 A Deep Sum-Product Architecture for Robust Facial Attributes Analysis ICCV 2013 A New Convex Relaxation for Tensor Completion NeurIPS 2013 Annealing between distributions by averaging moments NeurIPS 2013 An Optimal Policy for Target Localization with Application to Electron Microscopy ICML 2013 Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs NeurIPS 2013 Approximate inference in latent Gaussian-Markov models from continuous time observations NeurIPS 2013