| Energy-Based Test Sample Adaptation for Domain Generalization | Feb 22, 2023 | Domain GeneralizationVariational Inference | CodeCode Available | 1 |
| Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance | Feb 21, 2023 | Variational Inference | CodeCode Available | 1 |
| GFlowNet-EM for learning compositional latent variable models | Feb 13, 2023 | Variational Inference | CodeCode Available | 1 |
| A Benchmark on Uncertainty Quantification for Deep Learning Prognostics | Feb 9, 2023 | Active LearningDecision Making | CodeCode Available | 1 |
| Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach | Feb 8, 2023 | Distributed OptimizationFederated Learning | CodeCode Available | 1 |
| A theory of continuous generative flow networks | Jan 30, 2023 | Variational Inference | CodeCode Available | 1 |
| Rigid Body Flows for Sampling Molecular Crystal Structures | Jan 26, 2023 | Variational Inference | CodeCode Available | 1 |
| A Probabilistic Framework for Visual Localization in Ambiguous Scenes | Jan 5, 2023 | Variational InferenceVisual Localization | CodeCode Available | 1 |
| Interactive Segmentation As Gaussion Process Classification | Jan 1, 2023 | Binary ClassificationClassification | CodeCode Available | 1 |
| Hierarchical Phrase-based Sequence-to-Sequence Learning | Nov 15, 2022 | Inductive BiasMachine Translation | CodeCode Available | 1 |
