| A Deterministic Global Optimization Method for Variational Inference | Mar 21, 2017 | global-optimizationVariational Inference | —Unverified | 0 |
| Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors | Nov 15, 2022 | AnatomyDisentanglement | —Unverified | 0 |
| Amortized Context Vector Inference for Sequence-to-Sequence Networks | May 23, 2018 | Document SummarizationVariational Inference | —Unverified | 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 |
| Amortized Bayesian Meta-Learning | May 1, 2019 | Few-Shot Image ClassificationFew-Shot Learning | —Unverified | 0 |
| A Deep Variational Bayesian Framework for Blind Image Deblurring | Jun 5, 2021 | Blind Image DeblurringDeblurring | —Unverified | 0 |
| Classification of fNIRS Data Under Uncertainty: A Bayesian Neural Network Approach | Jan 18, 2021 | Binary ClassificationBrain Computer Interface | —Unverified | 0 |
| Closed-form Inference and Prediction in Gaussian Process State-Space Models | Dec 10, 2018 | FormState Space Models | —Unverified | 0 |
| Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting | May 24, 2023 | LEMMAVariational Inference | —Unverified | 0 |
| Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models | Dec 1, 2012 | Decision MakingDocument Classification | —Unverified | 0 |
