variational inference

Wide Mean-Field Bayesian Neural Networks Ignore the Data AISTATS 2022 Zero-Shot Logit Adjustment IJCAI 2022 ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations AAAI 2022 3D Shape Generation and Completion Through Point-Voxel Diffusion ICCV 2021 A 3D Generative Model for Structure-Based Drug Design NeurIPS 2021 Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization AAAI 2021 Active Learning of Continuous-time Bayesian Networks through Interventions ICML 2021 Addressing Catastrophic Forgetting in Few-Shot Problems ICML 2021 A Differentiable Point Process with Its Application to Spiking Neural Networks ICML 2021 A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning NeurIPS 2021 A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization ICML 2021 A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction ICCV 2021 A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging MIDL 2021 Amortized Variational Inference for Simple Hierarchical Models NeurIPS 2021 Animal pose estimation from video data with a hierarchical von Mises-Fisher-Gaussian model AISTATS 2021 An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence NeurIPS 2021 A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations ACL 2021 APS: Active Pretraining with Successor Features ICML 2021 Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions NeurIPS 2021 ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables ICML 2021 A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models AISTATS 2021 A unified view of likelihood ratio and reparameterization gradients AISTATS 2021 A universal probabilistic spike count model reveals ongoing modulation of neural variability NeurIPS 2021 Automatic variational inference with cascading flows ICML 2021 A variational approximate posterior for the deep Wishart process NeurIPS 2021