| A Deep Variational Bayesian Framework for Blind Image Deblurring | Jun 5, 2021 | Blind Image DeblurringDeblurring | —Unverified | 0 | 0 |
| Joint Modeling of Visual Objects and Relations for Scene Graph Generation | Dec 1, 2021 | Graph EmbeddingGraph Generation | —Unverified | 0 | 0 |
| A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning | May 5, 2022 | Object TrackingState Estimation | —Unverified | 0 | 0 |
| Distance-Preserving Spatial Representations in Genomic Data | Aug 1, 2024 | Representation LearningTransfer Learning | —Unverified | 0 | 0 |
| PGODE: Towards High-quality System Dynamics Modeling | Nov 11, 2023 | DisentanglementVariational Inference | —Unverified | 0 | 0 |
| Computing with Categories in Machine Learning | Mar 7, 2023 | Transfer LearningVariational Inference | —Unverified | 0 | 0 |
| Gradients should stay on Path: Better Estimators of the Reverse- and Forward KL Divergence for Normalizing Flows | Jul 17, 2022 | Variational Inference | —Unverified | 0 | 0 |
| AutoBayes: A Compositional Framework for Generalized Variational Inference | Mar 24, 2025 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| Gradient Regularisation as Approximate Variational Inference | Nov 23, 2020 | Variational Inference | —Unverified | 0 | 0 |
| Variational Laplace for Bayesian neural networks | Nov 20, 2020 | BenchmarkingVariational Inference | —Unverified | 0 | 0 |
