Generative Models

Unsupervised Learning of 3D Structure from Images NeurIPS 2016 Variational Bayes on Monte Carlo Steroids NeurIPS 2016 Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks NeurIPS 2016 Voice Conversion Based on Trajectory Model Training of Neural Networks Considering Global Variance Interspeech 2016 Wasserstein Training of Restricted Boltzmann Machines NeurIPS 2016 Weakly-supervised text-to-speech alignment confidence measure COLING 2016 Accurate and conservative estimates of MRF log-likelihood using reverse annealing AISTATS 2015 Beyond Principal Components: Deep Boltzmann Machines for Face Modeling CVPR 2015 Bidirectional Recurrent Neural Networks as Generative Models NeurIPS 2015 Boosted Categorical Restricted Boltzmann Machine for Computational Prediction of Splice Junctions ICML 2015 Celeste: Variational inference for a generative model of astronomical images ICML 2015 Data Generation as Sequential Decision Making NeurIPS 2015 Deep Colorization ICCV 2015 Deep Exponential Families AISTATS 2015 Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks NeurIPS 2015 Deep Multiple Instance Learning for Image Classification and Auto-Annotation CVPR 2015 Deep Poisson Factor Modeling NeurIPS 2015 Deep Temporal Sigmoid Belief Networks for Sequence Modeling NeurIPS 2015 Deep Unsupervised Learning using Nonequilibrium Thermodynamics ICML 2015 Deep Visual-Semantic Alignments for Generating Image Descriptions CVPR 2015 DRAW: A Recurrent Neural Network For Image Generation ICML 2015 Fast and Flexible Convolutional Sparse Coding CVPR 2015 Generative Image Modeling Using Spatial LSTMs NeurIPS 2015 Generative Moment Matching Networks ICML 2015 Geometry and Expressive Power of Conditional Restricted Boltzmann Machines JMLR 2015