variational autoencoder

Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold CVPR 2017 Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering IJCAI 2017 Variational Memory Addressing in Generative Models NeurIPS 2017 Variational Recurrent Neural Networks for Speech Separation Interspeech 2017 Voice Conversion from Unaligned Corpora Using Variational Autoencoding Wasserstein Generative Adversarial Networks Interspeech 2017 Z-Forcing: Training Stochastic Recurrent Networks NeurIPS 2017 Attend, Infer, Repeat: Fast Scene Understanding with Generative Models NeurIPS 2016 Autoencoding beyond pixels using a learned similarity metric ICML 2016 Bidirectional Helmholtz Machines ICML 2016 Generating Images with Perceptual Similarity Metrics based on Deep Networks NeurIPS 2016 Improved Variational Inference with Inverse Autoregressive Flow NeurIPS 2016 Ladder Variational Autoencoders NeurIPS 2016 Learning to Generate with Memory ICML 2016 Modeling and Transforming Speech Using Variational Autoencoders Interspeech 2016 Rényi Divergence Variational Inference NeurIPS 2016 Variational Autoencoder for Deep Learning of Images, Labels and Captions NeurIPS 2016 A Recurrent Latent Variable Model for Sequential Data NeurIPS 2015 DRAW: A Recurrent Neural Network For Image Generation ICML 2015 Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images NeurIPS 2015 Fast Second Order Stochastic Backpropagation for Variational Inference NeurIPS 2015 Variational Generative Stochastic Networks with Collaborative Shaping ICML 2015