Variational Inference

Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions ICLR 2022 NeMF: Neural Motion Fields for Kinematic Animation NeurIPS 2022 NeuPhysics: Editable Neural Geometry and Physics from Monocular Videos NeurIPS 2022 Neural-based Mixture Probabilistic Query Embedding for Answering FOL queries on Knowledge Graphs EMNLP 2022 NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields ICML 2022 Non-Autoregressive Neural Machine Translation with Consistency Regularization Optimized Variational Framework NAACL 2022 Nonlinear ICA Using Volume-Preserving Transformations ICLR 2022 Normalizing Flows for Knockoff-free Controlled Feature Selection NeurIPS 2022 NP-Match: When Neural Processes meet Semi-Supervised Learning ICML 2022 Offer a Different Perspective: Modeling the Belief Alignment of Arguments in Multi-party Debates EMNLP 2022 On Incorporating Inductive Biases into VAEs ICLR 2022 On the detrimental effect of invariances in the likelihood for variational inference NeurIPS 2022 On the Effect of Isotropy on VAE Representations of Text ACL 2022 On the Limitations of Multimodal VAEs ICLR 2022 On the relationship between variational inference and auto-associative memory NeurIPS 2022 PAC-Bayes Information Bottleneck ICLR 2022 Parameter-free Automatically Prompting: A Latent Pseudo Label Mapping Model for Prompt-based Learning EMNLP 2022 Path-Aware and Structure-Preserving Generation of Synthetically Accessible Molecules ICML 2022 Pathfinder: Parallel quasi-Newton variational inference JMLR 2022 Path-Gradient Estimators for Continuous Normalizing Flows ICML 2022 Personalized Federated Learning via Variational Bayesian Inference ICML 2022 Point-BERT: Pre-Training 3D Point Cloud Transformers With Masked Point Modeling CVPR 2022 Posterior Collapse of a Linear Latent Variable Model NeurIPS 2022 Posterior Matching for Arbitrary Conditioning NeurIPS 2022 Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks NeurIPS 2022