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Variational Inference

1,952 papers

Papers per year

2
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31
252
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Papers

Variational Structured Semantic Inference for Diverse Image Captioning NIPS 2019
Integer Discrete Flows and Lossless Compression NIPS 2019
Multi-objects Generation with Amortized Structural Regularization NIPS 2019
Tensor Monte Carlo: Particle Methods for the GPU era NIPS 2019
Variational Graph Recurrent Neural Networks NIPS 2019
Dual Variational Generation for Low Shot Heterogeneous Face Recognition NIPS 2019
Variational Temporal Abstraction NIPS 2019
Provable Gradient Variance Guarantees for Black-Box Variational Inference NIPS 2019
Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model NIPS 2019
Deep Random Splines for Point Process Intensity Estimation of Neural Population Data NIPS 2019
Amortized Bethe Free Energy Minimization for Learning MRFs NIPS 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs NIPS 2019
Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion NIPS 2019
Conditional Structure Generation through Graph Variational Generative Adversarial Nets NIPS 2019
Copula-like Variational Inference NIPS 2019
A Primal-Dual link between GANs and Autoencoders NIPS 2019
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference NIPS 2019
Deep Generative Video Compression NIPS 2019
The continuous Bernoulli: fixing a pervasive error in variational autoencoders NIPS 2019
Semi-Implicit Graph Variational Auto-Encoders NIPS 2019
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation CORL 2019
Bayesian Optimization in Variational Latent Spaces with Dynamic Compression CORL 2019
Disentangled Relational Representations for Explaining and Learning from Demonstration CORL 2019
Task-Conditioned Variational Autoencoders for Learning Movement Primitives CORL 2019
Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders AAAI 2019