| Global Approximate Inference via Local Linearisation for Temporal Gaussian Processes | Oct 16, 2019 | Bayesian InferenceGaussian Processes | —Unverified | 0 | 0 |
| GFlowOut: Dropout with Generative Flow Networks | Oct 24, 2022 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| Complementary Information Mutual Learning for Multimodality Medical Image Segmentation | Jan 5, 2024 | Image SegmentationInductive Bias | —Unverified | 0 | 0 |
| Geometric variational inference | May 21, 2021 | Variational Inference | —Unverified | 0 | 0 |
| Geometric Dirichlet Means algorithm for topic inference | Oct 27, 2016 | ClusteringVariational Inference | —Unverified | 0 | 0 |
| Comparing the quality of neural network uncertainty estimates for classification problems | Aug 11, 2023 | Decision MakingUncertainty Quantification | —Unverified | 0 | 0 |
| A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization | Jan 30, 2025 | Bayesian OptimizationVariational Inference | —Unverified | 0 | 0 |
| Generative Video Compression as Hierarchical Variational Inference | Nov 23, 2020 | Density EstimationVariational Inference | —Unverified | 0 | 0 |
| Generative Temporal Models with Memory | Feb 15, 2017 | Variational Inference | —Unverified | 0 | 0 |
| Combining Random Walks and Nonparametric Bayesian Topic Model for Community Detection | Jul 19, 2016 | Community DetectionStochastic Block Model | —Unverified | 0 | 0 |
