| Generative Particle Variational Inference via Estimation of Functional Gradients | Mar 1, 2021 | Variational Inference | —Unverified | 0 | 0 |
| Generative Models for Learning from Crowds | Jun 13, 2017 | Variational Inference | —Unverified | 0 | 0 |
| Generative Modeling of Neural Dynamics via Latent Stochastic Differential Equations | Dec 1, 2024 | Variational Inference | —Unverified | 0 | 0 |
| Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review | May 12, 2025 | Active LearningBayesian Inference | —Unverified | 0 | 0 |
| A Tutorial on the Mathematical Model of Single Cell Variational Inference | Jan 3, 2021 | Variational Inference | —Unverified | 0 | 0 |
| Variational inference of fractional Brownian motion with linear computational complexity | Mar 15, 2022 | Bayesian InferenceGraph Neural Network | —Unverified | 0 | 0 |
| A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis | Jan 22, 2020 | Computational EfficiencyVariational Inference | —Unverified | 0 | 0 |
| Generative Flow Networks: Theory and Applications to Structure Learning | Jan 9, 2025 | Sequential Decision MakingVariational Inference | —Unverified | 0 | 0 |
| A Tutorial on Sparse Gaussian Processes and Variational Inference | Dec 27, 2020 | Bayesian InferenceGaussian Processes | —Unverified | 0 | 0 |
| Generating Diverse Translation from Model Distribution with Dropout | Oct 16, 2020 | DiversityMachine Translation | —Unverified | 0 | 0 |
