| Learning the Prediction Distribution for Semi-Supervised Learning with Normalising Flows | Jul 6, 2020 | AttributeGeneral Classification | CodeCode Available | 0 |
| Linear combinations of latents in generative models: subspaces and beyond | Aug 16, 2024 | Experimental DesignNormalising Flows | CodeCode Available | 0 |
| Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows | Sep 30, 2019 | Density EstimationNormalising Flows | CodeCode Available | 0 |
| Marginal Causal Flows for Validation and Inference | Nov 2, 2024 | Normalising Flows | CodeCode Available | 0 |
| emuflow: Normalising Flows for Joint Cosmological Analysis | Sep 2, 2024 | Normalising Flows | CodeCode Available | 0 |
| Probabilistic Classification by Density Estimation Using Gaussian Mixture Model and Masked Autoregressive Flow | Oct 16, 2023 | ClassificationDensity Estimation | CodeCode Available | 0 |
| The Neural Moving Average Model for Scalable Variational Inference of State Space Models | Oct 2, 2019 | Bayesian InferenceNormalising Flows | CodeCode Available | 0 |
| Sinusoidal Flow: A Fast Invertible Autoregressive Flow | Oct 26, 2021 | Normalising Flows | CodeCode Available | 0 |
| Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data | Nov 25, 2021 | BIG-bench Machine LearningNormalising Flows | CodeCode Available | 0 |
