| Latent Time Neural Ordinary Differential Equations | Dec 23, 2021 | Autonomous Drivingimage-classification | —Unverified | 0 |
| Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations | Dec 23, 2021 | Autonomous Drivingimage-classification | —Unverified | 0 |
| Surrogate Likelihoods for Variational Annealed Importance Sampling | Dec 22, 2021 | Bayesian InferenceProbabilistic Programming | —Unverified | 0 |
| Information Field Theory and Artificial Intelligence | Dec 19, 2021 | Variational Inference | —Unverified | 0 |
| Hierarchical Variational Memory for Few-shot Learning Across Domains | Dec 15, 2021 | Few-Shot LearningVariational Inference | CodeCode Available | 0 |
| Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks | Dec 14, 2021 | ClassificationEdge Classification | —Unverified | 0 |
| Neural Point Process for Learning Spatiotemporal Event Dynamics | Dec 12, 2021 | Point ProcessesVariational Inference | CodeCode Available | 1 |
| Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer | Dec 12, 2021 | Adversarial RobustnessUncertainty Quantification | —Unverified | 0 |
| Fully Context-Aware Image Inpainting with a Learned Semantic Pyramid | Dec 8, 2021 | Image InpaintingVariational Inference | CodeCode Available | 1 |
| A Continuous-time Stochastic Gradient Descent Method for Continuous Data | Dec 7, 2021 | Stochastic OptimizationVariational Inference | —Unverified | 0 |
