| Nonparametric Spherical Topic Modeling with Word Embeddings | Apr 1, 2016 | Topic ModelsVariational Inference | CodeCode Available | 0 |
| Semi-Implicit Variational Inference via Score Matching | Aug 19, 2023 | Bayesian InferenceDenoising | CodeCode Available | 0 |
| Compiling Stan to Generative Probabilistic Languages and Extension to Deep Probabilistic Programming | Sep 30, 2018 | Probabilistic ProgrammingRepresentation Learning | CodeCode Available | 0 |
| Differential equation and probability inspired graph neural networks for latent variable learning | Feb 28, 2022 | Stock Predictiontext-classification | CodeCode Available | 0 |
| Semi-parametric γ-ray modeling with Gaussian processes and variational inference | Oct 20, 2020 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| What type of inference is planning? | Jun 25, 2024 | Variational Inference | CodeCode Available | 0 |
| Towards Verified Stochastic Variational Inference for Probabilistic Programs | Jul 20, 2019 | Probabilistic ProgrammingVariational Inference | CodeCode Available | 0 |
| Classification by Re-generation: Towards Classification Based on Variational Inference | Sep 10, 2018 | ClassificationDecoder | CodeCode Available | 0 |
| Note on the bias and variance of variational inference | Jun 9, 2019 | Variational Inference | CodeCode Available | 0 |
| GCD-DDPM: A Generative Change Detection Model Based on Difference-Feature Guided DDPM | Jun 6, 2023 | Change DetectionDenoising | CodeCode Available | 0 |
