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recognition network

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variational autoencoder (3) generative model (3) variational inference (3) monte carlo estimation (2) monte carlo expectation maximization (1) deep gaussian process (1) approximate posterior (1) hierarchical vae (1) hierarchical variational model (1) prior network (1)

Papers

Multi-Scale Distribution Deep Variational Autoencoder for Explanation Generation ACL 2022 Amortized variance reduction for doubly stochastic objective UAI 2020 Latent Ordinary Differential Equations for Irregularly-Sampled Time Series NeurIPS 2019 Inference Suboptimality in Variational Autoencoders ICML 2018 Iterative Refinement of the Approximate Posterior for Directed Belief Networks NeurIPS 2016 Learning Sigmoid Belief Networks via Monte Carlo Expectation Maximization AISTATS 2016