Variational Inference

VAE Approximation Error: ELBO and Exponential Families ICLR 2022 VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming NeurIPS 2022 VaiPhy: a Variational Inference Based Algorithm for Phylogeny NeurIPS 2022 Variational- and metric-based deep latent space for out-of-distribution detection UAI 2022 Variational Autoencoders: A Harmonic Perspective AISTATS 2022 Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias ICLR 2022 Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation EMNLP 2022 Variational Feature Pyramid Networks ICML 2022 Variational Graph Autoencoding as Cheap Supervision for AMR Coreference Resolution ACL 2022 Variational Inference for Discriminative Learning with Generative Modeling of Feature Incompletion ICLR 2022 Variational Inference for Infinitely Deep Neural Networks ICML 2022 Variational Inference in high-dimensional linear regression JMLR 2022 Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection RSS 2022 Variational inference via Wasserstein gradient flows NeurIPS 2022 Variational Inference with Locally Enhanced Bounds for Hierarchical Models ICML 2022 Variational message passing neural network for Maximum-A-Posteriori (MAP) inference UAI 2022 Variational methods for simulation-based inference ICLR 2022 Variational Neural Cellular Automata ICLR 2022 Variational On-the-Fly Personalization ICML 2022 Variational Predictive Routing with Nested Subjective Timescales ICLR 2022 Variational Sparse Coding with Learned Thresholding ICML 2022 Variational Stacked Local Attention Networks for Diverse Video Captioning WACV 2022 Variational Wasserstein gradient flow ICML 2022 VarMAE: Pre-training of Variational Masked Autoencoder for Domain-adaptive Language Understanding EMNLP 2022 VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis ICML 2022