amortized inference

Better Transfer Learning with Inferred Successor Maps NeurIPS 2019 Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice Theorem UAI 2019 InfoVAE: Balancing Learning and Inference in Variational Autoencoders AAAI 2019 Multi-objects Generation with Amortized Structural Regularization NeurIPS 2019 Randomized Greedy Search for Structured Prediction: Amortized Inference and Learning IJCAI 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 NeurIPS 2019 Variational Laplace Autoencoders ICML 2019 A General Method for Amortizing Variational Filtering NeurIPS 2018 Amortized Inference Regularization NeurIPS 2018 Bayesian Distributed Stochastic Gradient Descent NeurIPS 2018 Energy-efficient Amortized Inference with Cascaded Deep Classifiers IJCAI 2018 Faithful Inversion of Generative Models for Effective Amortized Inference NeurIPS 2018 Inference Suboptimality in Variational Autoencoders ICML 2018 Iterative Amortized Inference ICML 2018 Point process latent variable models of larval zebrafish behavior NeurIPS 2018 An inner-loop free solution to inverse problems using deep neural networks NeurIPS 2017 Context Selection for Embedding Models NeurIPS 2017 Fast amortized inference of neural activity from calcium imaging data with variational autoencoders NeurIPS 2017 Inference Compilation and Universal Probabilistic Programming AISTATS 2017 Inference Networks for Sequential Monte Carlo in Graphical Models ICML 2016 Learning and Inference via Maximum Inner Product Search ICML 2016 Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks NeurIPS 2016 Tagger: Deep Unsupervised Perceptual Grouping NeurIPS 2016