Variational Inference

NeRF-VAE: A Geometry Aware 3D Scene Generative Model ICML 2021 Nested Variational Inference NeurIPS 2021 Neural Attention-Aware Hierarchical Topic Model EMNLP 2021 Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs AAAI 2021 Neural Relation Inference for Multi-dimensional Temporal Point Processes via Message Passing Graph IJCAI 2021 Neural Spatio-Temporal Point Processes ICLR 2021 Neural Topic Model via Optimal Transport ICLR 2021 Normalizing Flows for Probabilistic Modeling and Inference JMLR 2021 not-MIWAE: Deep Generative Modelling with Missing not at Random Data ICLR 2021 NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation UAI 2021 On Empirical Bayes Variational Autoencoder: An Excess Risk Bound COLT 2021 One-Shot Image Recognition Using Prototypical Encoders With Reduced Hubness WACV 2021 Online Variational Filtering and Parameter Learning NeurIPS 2021 On Memorization in Probabilistic Deep Generative Models NeurIPS 2021 On Multilevel Monte Carlo Unbiased Gradient Estimation for Deep Latent Variable Models AISTATS 2021 On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes ICML 2021 On the difficulty of unbiased alpha divergence minimization ICML 2021 On the Generative Utility of Cyclic Conditionals NeurIPS 2021 On Variational Inference in Biclustering Models ICML 2021 Open Domain Dialogue Generation with Latent Images AAAI 2021 Open Knowledge Graphs Canonicalization using Variational Autoencoders EMNLP 2021 Open-Set Recognition with Gaussian Mixture Variational Autoencoders AAAI 2021 Optimality of variational inference for stochasticblock model with missing links NeurIPS 2021 OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression NeurIPS 2021 Outcome-Driven Reinforcement Learning via Variational Inference NeurIPS 2021