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Variational Inference

1,952 papers

Papers per year

2
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31
252
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Papers

Discovering Discrete Latent Topics with Neural Variational Inference ICML 2017
Prediction and Control with Temporal Segment Models ICML 2017
Sequence to Better Sequence: Continuous Revision of Combinatorial Structures ICML 2017
Bottleneck Conditional Density Estimation ICML 2017
Latent Intention Dialogue Models ICML 2017
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions ICML 2017
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering IJCAI 2017
Tag-Aware Personalized Recommendation Using a Hybrid Deep Model IJCAI 2017
Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery INTERSPEECH 2017
Tied Variational Autoencoder Backends for i-Vector Speaker Recognition INTERSPEECH 2017
Variational Recurrent Neural Networks for Speech Separation INTERSPEECH 2017
Learning Latent Representations for Speech Generation and Transformation INTERSPEECH 2017
Stochastic Recurrent Neural Network for Speech Recognition INTERSPEECH 2017
Acoustic Feature Learning via Deep Variational Canonical Correlation Analysis INTERSPEECH 2017
Automatic Differentiation Variational Inference JMLR 2017
GPflow: A Gaussian Process Library using TensorFlow JMLR 2017
Variational Bayes on Monte Carlo Steroids NIPS 2016
Sequential Neural Models with Stochastic Layers NIPS 2016
Iterative Refinement of the Approximate Posterior for Directed Belief Networks NIPS 2016
Generating Images with Perceptual Similarity Metrics based on Deep Networks NIPS 2016
Disease Trajectory Maps NIPS 2016
An Architecture for Deep, Hierarchical Generative Models NIPS 2016
Ladder Variational Autoencoders NIPS 2016
Linear dynamical neural population models through nonlinear embeddings NIPS 2016
Rényi Divergence Variational Inference NIPS 2016