| Bayesian sparsification for deep neural networks with Bayesian model reduction | Sep 21, 2023 | Deep LearningVariational Inference | CodeCode Available | 1 |
| Variational Bayesian Imaging with an Efficient Surrogate Score-based Prior | Sep 5, 2023 | Variational Inference | CodeCode Available | 1 |
| Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models | Sep 3, 2023 | Gaussian ProcessesState Space Models | CodeCode Available | 1 |
| Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image Denoising | Aug 9, 2023 | DenoisingImage Denoising | CodeCode Available | 1 |
| BayesDAG: Gradient-Based Posterior Inference for Causal Discovery | Jul 26, 2023 | Causal DiscoveryVariational Inference | CodeCode Available | 1 |
| Variational Inference with Gaussian Score Matching | Jul 15, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| LINFA: a Python library for variational inference with normalizing flow and annealing | Jul 10, 2023 | Variational Inference | CodeCode Available | 1 |
| Transport meets Variational Inference: Controlled Monte Carlo Diffusions | Jul 3, 2023 | Variational Inference | CodeCode Available | 1 |
| Joint Prompt Optimization of Stacked LLMs using Variational Inference | Jun 21, 2023 | Natural Language UnderstandingVariational Inference | CodeCode Available | 1 |
| Conditional Matrix Flows for Gaussian Graphical Models | Jun 12, 2023 | Model SelectionVariational Inference | CodeCode Available | 1 |
