| Censor Dependent Variational Inference | Feb 13, 2025 | Survival AnalysisVariational Inference | CodeCode Available | 0 |
| SoftCVI: Contrastive variational inference with self-generated soft labels | Jul 22, 2024 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport | Feb 3, 2022 | Variational Inference | CodeCode Available | 0 |
| Free-Form Variational Inference for Gaussian Process State-Space Models | Feb 20, 2023 | FormState Space Models | CodeCode Available | 0 |
| Importance Weighted Hierarchical Variational Inference | May 8, 2019 | Variational Inference | CodeCode Available | 0 |
| Sparse Algorithms for Markovian Gaussian Processes | Mar 19, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| From Patches to Images: A Nonparametric Generative Model | Aug 1, 2017 | DenoisingImage Inpainting | CodeCode Available | 0 |
| Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning | Jun 6, 2024 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 |
| Sparse Bayesian Generative Modeling for Compressive Sensing | Nov 14, 2024 | Compressive SensingUncertainty Quantification | CodeCode Available | 0 |
| Fully Bayesian VIB-DeepSSM | May 9, 2023 | AnatomyUncertainty Quantification | CodeCode Available | 0 |
