| A Factorial Mixture Prior for Compositional Deep Generative Models | Dec 18, 2018 | Variational Inference | —Unverified | 0 |
| Learning a Probabilistic Model for Diffeomorphic Registration | Dec 18, 2018 | Deformable Medical Image RegistrationDiffeomorphic Medical Image Registration | —Unverified | 0 |
| A Tutorial on Deep Latent Variable Models of Natural Language | Dec 17, 2018 | Deep LearningVariational Inference | —Unverified | 0 |
| Non-Factorised Variational Inference in Dynamical Systems | Dec 14, 2018 | Variational Inference | —Unverified | 0 |
| Closed-form Inference and Prediction in Gaussian Process State-Space Models | Dec 10, 2018 | FormState Space Models | —Unverified | 0 |
| An Introduction to Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications | Dec 10, 2018 | Variational Inference | —Unverified | 0 |
| Physics-informed deep generative models | Dec 9, 2018 | Variational Inference | —Unverified | 0 |
| Efficient transfer learning and online adaptation with latent variable models for continuous control | Dec 8, 2018 | Bayesian Inferencecontinuous-control | —Unverified | 0 |
| Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process | Dec 8, 2018 | Ensemble LearningModel Selection | —Unverified | 0 |
| Knowing what you know in brain segmentation using Bayesian deep neural networks | Dec 3, 2018 | Brain SegmentationVariational Inference | CodeCode Available | 0 |
