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amortized inference

102 papers

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Co-occurring keywords

variational inference (2069) variational autoencoder (1288) neural network (6616) generative model (2892) bayesian inference (1907) posterior approximation (132) latent variable model (564) importance sampling (318) latent variable (541) gaussian process (1200)

Papers

Amortized Variational Inference with Graph Convolutional Networks for Gaussian Processes AISTATS 2019
Multi-objects Generation with Amortized Structural Regularization NIPS 2019
Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow UAI 2019
Semi-Supervised Voice Conversion with Amortized Variational Inference INTERSPEECH 2019
Variational Bayesian Optimal Experimental Design NIPS 2019
Randomized Greedy Search for Structured Prediction: Amortized Inference and Learning IJCAI 2019
Amortized Monte Carlo Integration ICML 2019
Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice Theorem UAI 2019
Amortized Bethe Free Energy Minimization for Learning MRFs NIPS 2019
Variational Laplace Autoencoders ICML 2019
InfoVAE: Balancing Learning and Inference in Variational Autoencoders AAAI 2019
A General Method for Amortizing Variational Filtering NIPS 2018
Energy-efficient Amortized Inference with Cascaded Deep Classifiers IJCAI 2018
Bayesian Distributed Stochastic Gradient Descent NIPS 2018
Point process latent variable models of larval zebrafish behavior NIPS 2018
Faithful Inversion of Generative Models for Effective Amortized Inference NIPS 2018
Iterative Amortized Inference ICML 2018
Inference Suboptimality in Variational Autoencoders ICML 2018
Amortized Inference Regularization NIPS 2018
Context Selection for Embedding Models NIPS 2017
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders NIPS 2017
Inference Compilation and Universal Probabilistic Programming AISTATS 2017
An inner-loop free solution to inverse problems using deep neural networks NIPS 2017
Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks NIPS 2016
Inference Networks for Sequential Monte Carlo in Graphical Models ICML 2016