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| Generative Flow Networks: Theory and Applications to Structure Learning | Jan 9, 2025 | Sequential Decision MakingVariational Inference | —Unverified | 0 |
| Generative Modeling of Neural Dynamics via Latent Stochastic Differential Equations | Dec 1, 2024 | Variational Inference | —Unverified | 0 |
| Generative Models for Learning from Crowds | Jun 13, 2017 | Variational Inference | —Unverified | 0 |
| Generative Particle Variational Inference via Estimation of Functional Gradients | Mar 1, 2021 | Variational Inference | —Unverified | 0 |
| Generative Temporal Models with Memory | Feb 15, 2017 | Variational Inference | —Unverified | 0 |
| Generative Video Compression as Hierarchical Variational Inference | Nov 23, 2020 | Density EstimationVariational Inference | —Unverified | 0 |
| Geometric Dirichlet Means algorithm for topic inference | Oct 27, 2016 | ClusteringVariational Inference | —Unverified | 0 |
| Geometric variational inference | May 21, 2021 | Variational Inference | —Unverified | 0 |
| GFlowOut: Dropout with Generative Flow Networks | Oct 24, 2022 | Bayesian InferenceVariational Inference | —Unverified | 0 |
