| Marginal Causal Flows for Validation and Inference | Nov 2, 2024 | Normalising Flows | CodeCode Available | 0 | 5 |
| emuflow: Normalising Flows for Joint Cosmological Analysis | Sep 2, 2024 | Normalising Flows | CodeCode Available | 0 | 5 |
| Probabilistic Classification by Density Estimation Using Gaussian Mixture Model and Masked Autoregressive Flow | Oct 16, 2023 | ClassificationDensity Estimation | CodeCode Available | 0 | 5 |
| The Neural Moving Average Model for Scalable Variational Inference of State Space Models | Oct 2, 2019 | Bayesian InferenceNormalising Flows | CodeCode Available | 0 | 5 |
| Sinusoidal Flow: A Fast Invertible Autoregressive Flow | Oct 26, 2021 | Normalising Flows | CodeCode Available | 0 | 5 |
| Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data | Nov 25, 2021 | BIG-bench Machine LearningNormalising Flows | CodeCode Available | 0 | 5 |
| Localised Generative Flows | Sep 25, 2019 | Density EstimationNormalising Flows | —Unverified | 0 | 0 |
| AdvNF: Reducing Mode Collapse in Conditional Normalising Flows using Adversarial Learning | Jan 29, 2024 | Normalising Flows | —Unverified | 0 | 0 |
| Bayesian Exploration Networks | Aug 24, 2023 | Decision MakingDecision Making Under Uncertainty | —Unverified | 0 | 0 |
| Testable Likelihoods for Beyond-the-Standard Model Fits | Sep 19, 2023 | Formmodel | —Unverified | 0 | 0 |
