| DiBS: Differentiable Bayesian Structure Learning | May 25, 2021 | Causal DiscoveryVariational Inference | CodeCode Available | 1 | 5 |
| Transport meets Variational Inference: Controlled Monte Carlo Diffusions | Jul 3, 2023 | Variational Inference | CodeCode Available | 1 | 5 |
| Density Deconvolution with Normalizing Flows | Jun 16, 2020 | Density EstimationVariational Inference | CodeCode Available | 1 | 5 |
| Towards Compact Neural Networks via End-to-End Training: A Bayesian Tensor Approach with Automatic Rank Determination | Oct 17, 2020 | Model CompressionTensor Decomposition | CodeCode Available | 1 | 5 |
| Unsupervised Data Imputation via Variational Inference of Deep Subspaces | Mar 8, 2019 | ImputationVariational Inference | CodeCode Available | 1 | 5 |
| Unsupervised Variational Translator for Bridging Image Restoration and High-Level Vision Tasks | Aug 15, 2024 | Image RestorationVariational Inference | CodeCode Available | 1 | 5 |
| Graph Stochastic Neural Networks for Semi-supervised Learning | Dec 1, 2020 | ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| Variational Bayes Gaussian Splatting | Oct 4, 2024 | Continual LearningVariational Inference | CodeCode Available | 1 | 5 |
| Differentiable Causal Discovery Under Latent Interventions | Mar 4, 2022 | Causal DiscoveryVariational Inference | CodeCode Available | 1 | 5 |
| Variational Graph Recurrent Neural Networks | Aug 26, 2019 | AttributeDynamic Link Prediction | CodeCode Available | 1 | 5 |
