| Generating Neural Networks with Neural Networks | Jan 6, 2018 | DiversityVariational Inference | CodeCode Available | 0 | 5 |
| Stochastic gradient variational Bayes for gamma approximating distributions | Sep 4, 2015 | Variational Inference | CodeCode Available | 0 | 5 |
| Generative Topic Embedding: a Continuous Representation of Documents (Extended Version with Proofs) | Jun 9, 2016 | Document ClassificationVariational Inference | CodeCode Available | 0 | 5 |
| Stochastic Variational Inference | Jun 29, 2012 | ArticlesTopic Models | CodeCode Available | 0 | 5 |
| Functional Gradient Flows for Constrained Sampling | Oct 30, 2024 | Variational Inference | CodeCode Available | 0 | 5 |
| Functional Variational Bayesian Neural Networks | Mar 14, 2019 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 | 5 |
| GCD-DDPM: A Generative Change Detection Model Based on Difference-Feature Guided DDPM | Jun 6, 2023 | Change DetectionDenoising | CodeCode Available | 0 | 5 |
| Streamlining Variational Inference for Constraint Satisfaction Problems | Nov 24, 2018 | SurveyVariational Inference | CodeCode Available | 0 | 5 |
| Free-Form Variational Inference for Gaussian Process State-Space Models | Feb 20, 2023 | FormState Space Models | CodeCode Available | 0 | 5 |
| Deconfounding Imitation Learning with Variational Inference | Nov 4, 2022 | Imitation LearningVariational Inference | CodeCode Available | 0 | 5 |
