Variational Inference

Learning to Decompose and Disentangle Representations for Video Prediction NeurIPS 2018 Learning to Round for Discrete Labeling Problems AISTATS 2018 Leveraging the Exact Likelihood of Deep Latent Variable Models NeurIPS 2018 Lightweight Probabilistic Deep Networks CVPR 2018 Markov Modulated Gaussian Cox Processes for Semi-Stationary Intensity Modeling of Events Data ICML 2018 MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare NeurIPS 2018 Mining Multimodal Repositories for Speech Affecting Diseases Interspeech 2018 Modeling Facial Geometry Using Compositional VAEs CVPR 2018 MojiTalk: Generating Emotional Responses at Scale ACL 2018 Monoaural Audio Source Separation Using Variational Autoencoders Interspeech 2018 Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach ACML 2018 Multimodal Generative Models for Scalable Weakly-Supervised Learning NeurIPS 2018 Multi-View Data Generation Without View Supervision ICLR 2018 Mutual Information Neural Estimation ICML 2018 NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing ACL 2018 Neural Latent Extractive Document Summarization EMNLP 2018 Neural Models for Documents with Metadata ACL 2018 Neural Relational Inference for Interacting Systems ICML 2018 Non-Adversarial Mapping with VAEs NeurIPS 2018 oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis ICML 2018 On Statistical Optimality of Variational Bayes AISTATS 2018 On the challenges of learning with inference networks on sparse, high-dimensional data AISTATS 2018 On Unifying Deep Generative Models ICLR 2018 Orthogonally Decoupled Variational Gaussian Processes NeurIPS 2018 Pathwise Derivatives Beyond the Reparameterization Trick ICML 2018