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variational inference

2069 papers

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Also known as

VI-NET VRNN VBI SVI VIBE VQ-VAE ADVI VARNET MCVI PARVI SAVI VI VAE VMP VB BBVI ELBO VIB

Co-occurring keywords

bayesian inference (1904) gaussian process (1198) generative model (2889) variational autoencoder (1282) latent variable model (564) probabilistic modeling (851) representation learning (6174) uncertainty quantification (1365) latent variable (541) approximate inference (253)

Papers

Capsule Routing via Variational Bayes AAAI 2020
Approximation Based Variance Reduction for Reparameterization Gradients NIPS 2020
Bidirectional Convolutional Poisson Gamma Dynamical Systems NIPS 2020
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes AAAI 2020
Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations NIPS 2020
Residual Neural Processes AAAI 2020
Doubly Sparse Variational Gaussian Processes AISTATS 2020
Deep Structured Mixtures of Gaussian Processes AISTATS 2020
A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction AAAI 2020
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation NIPS 2020
General Latent Feature Models for Heterogeneous Datasets JMLR 2020
Differentiable Algorithm for Marginalising Changepoints AAAI 2020
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances ICML 2020
Latent Bernoulli Autoencoder ICML 2020
Variational Inference for Computational Imaging Inverse Problems JMLR 2020
Probabilistic Circuits for Variational Inference in Discrete Graphical Models NIPS 2020
Transfer Learning of the Expressivity Using FLOW Metric Learning in Multispeaker Text-to-Speech Synthesis INTERSPEECH 2020
TwoStreamVAN: Improving Motion Modeling in Video Generation WACV 2020
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking NIPS 2020
Weakly Supervised Sequence Tagging from Noisy Rules AAAI 2020
Stochastic Neural Network with Kronecker Flow AISTATS 2020
Learning Dynamic Hierarchical Topic Graph with Graph Convolutional Network for Document Classification AISTATS 2020
Learning spectrograms with convolutional spectral kernels AISTATS 2020
A Theoretical Case Study of Structured Variational Inference for Community Detection AISTATS 2020
Enriched mixtures of generalised Gaussian process experts AISTATS 2020