| Improved Variational Inference with Inverse Autoregressive Flow | Dec 1, 2016 | Image GenerationVariational Inference | CodeCode Available | 0 | 5 |
| Data Association with Gaussian Processes | Oct 16, 2018 | Gaussian ProcessesVariational Inference | —Unverified | 0 | 0 |
| A Variational Perspective on Generative Flow Networks | Oct 14, 2022 | Variational Inference | —Unverified | 0 | 0 |
| Cyclical Variational Bayes Monte Carlo for Efficient Multi-Modal Posterior Distributions Evaluation | Feb 23, 2022 | Model SelectionVariational Inference | —Unverified | 0 | 0 |
| Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference | Jun 5, 2018 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| A variational inference framework for inverse problems | Mar 10, 2021 | Variational Inference | —Unverified | 0 | 0 |
| Cyberattack Detection using Deep Generative Models with Variational Inference | May 31, 2018 | Variational Inference | —Unverified | 0 | 0 |
| CWAE-IRL: Formulating a supervised approach to Inverse Reinforcement Learning problem | Oct 2, 2019 | reinforcement-learningReinforcement Learning | —Unverified | 0 | 0 |
| A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors | Nov 26, 2021 | Model SelectionTime Series | —Unverified | 0 | 0 |
| Analog Bayesian neural networks are insensitive to the shape of the weight distribution | Jan 9, 2025 | Variational Inference | —Unverified | 0 | 0 |
