| VIME: Variational Information Maximizing Exploration | May 31, 2016 | continuous-controlContinuous Control | CodeCode Available | 0 |
| Population Empirical Bayes | Nov 2, 2014 | Bayesian Inferenceregression | CodeCode Available | 0 |
| Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference | Oct 31, 2020 | Graph EmbeddingLink Prediction | CodeCode Available | 0 |
| Wide Mean-Field Bayesian Neural Networks Ignore the Data | Feb 23, 2022 | Variational Inference | CodeCode Available | 0 |
| Stein ICP for Uncertainty Estimation in Point Cloud Matching | Jun 7, 2021 | Autonomous DrivingDecision Making | CodeCode Available | 0 |
| Deconfounding Imitation Learning with Variational Inference | Nov 4, 2022 | Imitation LearningVariational Inference | CodeCode Available | 0 |
| Variational Flow Models: Flowing in Your Style | Feb 5, 2024 | Variational Inference | CodeCode Available | 0 |
| Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series | Nov 4, 2021 | Data IntegrationDecoder | CodeCode Available | 0 |
| Stein Variational Gaussian Processes | Sep 25, 2020 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Asynchronous Temporal Fields for Action Recognition | Dec 19, 2016 | Action ClassificationAction Recognition | CodeCode Available | 0 |
| Variational Marginal Particle Filters | Sep 30, 2021 | State Space ModelsVariational Inference | CodeCode Available | 0 |
| Implicit Generative Prior for Bayesian Neural Networks | Apr 27, 2024 | Classification ConsistencyComputational Efficiency | CodeCode Available | 0 |
| Implicit Posterior Variational Inference for Deep Gaussian Processes | Oct 26, 2019 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural Networks | Nov 4, 2023 | Active LearningDecision Making | CodeCode Available | 0 |
| Posterior temperature optimized Bayesian models for inverse problems in medical imaging | Feb 2, 2022 | Bayesian OptimizationDenoising | CodeCode Available | 0 |
| Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo | Oct 25, 2021 | Image RegistrationUncertainty Quantification | CodeCode Available | 0 |
| Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference | Mar 27, 2017 | Variational Inference | CodeCode Available | 0 |
| Stochastic Aggregation in Graph Neural Networks | Feb 25, 2021 | Variational Inference | CodeCode Available | 0 |
| Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage? | Feb 9, 2024 | Deep LearningOut-of-Distribution Detection | CodeCode Available | 0 |
| Practical Deep Learning with Bayesian Principles | Jun 6, 2019 | Continual LearningData Augmentation | CodeCode Available | 0 |
| Black Box Variational Inference | Dec 31, 2013 | Stochastic OptimizationVariational Inference | CodeCode Available | 0 |
| Improved uncertainty quantification for neural networks with Bayesian last layer | Feb 21, 2023 | Gaussian Processesregression | CodeCode Available | 0 |
| Improved Variational Bayesian Phylogenetic Inference using Mixtures | Oct 2, 2023 | Density EstimationVariational Inference | CodeCode Available | 0 |
| Improved Variational Inference with Inverse Autoregressive Flow | Dec 1, 2016 | Image GenerationVariational Inference | CodeCode Available | 0 |
| Variational Gaussian Process Diffusion Processes | Jun 3, 2023 | Variational Inference | CodeCode Available | 0 |