| Function Space Particle Optimization for Bayesian Neural Networks | Feb 26, 2019 | Reinforcement LearningVariational Inference | CodeCode Available | 0 | 5 |
| Functional Variational Bayesian Neural Networks | Mar 14, 2019 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 | 5 |
| Fully Bayesian VIB-DeepSSM | May 9, 2023 | AnatomyUncertainty Quantification | CodeCode Available | 0 | 5 |
| Sequential Neural Models with Stochastic Layers | May 24, 2016 | Music ModelingVariational Inference | CodeCode Available | 0 | 5 |
| Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimation | Aug 2, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| Single-cell gene regulatory network analysis for mixed cell populations with applications to COVID-19 single cell data | May 23, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
| Barrier Frank-Wolfe for Marginal Inference | Nov 6, 2015 | Variational Inference | CodeCode Available | 0 | 5 |
| SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient | Nov 11, 2018 | Variational Inference | CodeCode Available | 0 | 5 |
| From Patches to Images: A Nonparametric Generative Model | Aug 1, 2017 | DenoisingImage Inpainting | CodeCode Available | 0 | 5 |
| Functional Gradient Flows for Constrained Sampling | Oct 30, 2024 | Variational Inference | CodeCode Available | 0 | 5 |
