| ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems | May 8, 2024 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 |
| Amortized Population Gibbs Samplers with Neural Sufficient Statistics | Nov 4, 2019 | Variational Inference | CodeCode Available | 0 |
| Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning | Jul 1, 2019 | Continual LearningVariational Inference | CodeCode Available | 0 |
| Streaming Variational Monte Carlo | Jun 4, 2019 | Gaussian ProcessesState Space Models | CodeCode Available | 0 |
| Convolutional Normalizing Flows | Nov 7, 2017 | Variational Inference | CodeCode Available | 0 |
| Random Feature Expansions for Deep Gaussian Processes | Oct 14, 2016 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Random Function Priors for Correlation Modeling | May 9, 2019 | Variational Inference | CodeCode Available | 0 |
| Bayesian posterior approximation with stochastic ensembles | Dec 15, 2022 | Bayesian Inferenceimage-classification | CodeCode Available | 0 |
| Addressing Catastrophic Forgetting in Few-Shot Problems | Apr 30, 2020 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Structured Recognition for Generative Models with Explaining Away | Sep 12, 2022 | Density EstimationHippocampus | CodeCode Available | 0 |
