| 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 |
| Adaptive Path-Integral Autoencoders: Representation Learning and Planning for Dynamical Systems | Dec 1, 2018 | Representation LearningVariational Inference | —Unverified | 0 |
| Distributed Multitask Reinforcement Learning with Quadratic Convergence | Dec 1, 2018 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence | Dec 1, 2018 | Variational Inference | —Unverified | 0 |
| Provable Variational Inference for Constrained Log-Submodular Models | Dec 1, 2018 | Variational Inference | —Unverified | 0 |
| Discretely Relaxing Continuous Variables for tractable Variational Inference | Dec 1, 2018 | Variational Inference | CodeCode Available | 0 |
| Point process latent variable models of larval zebrafish behavior | Dec 1, 2018 | Variational Inference | —Unverified | 0 |
| Coupled Variational Bayes via Optimization Embedding | Dec 1, 2018 | Variational Inference | CodeCode Available | 0 |
| Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference | Nov 27, 2018 | Activity RecognitionBayesian Inference | —Unverified | 0 |
| Partitioned Variational Inference: A unified framework encompassing federated and continual learning | Nov 27, 2018 | Continual LearningDistributed Computing | —Unverified | 0 |
| Deep Bayesian Self-Training | Nov 26, 2018 | ClusteringVariational Inference | CodeCode Available | 0 |
| Streamlining Variational Inference for Constraint Satisfaction Problems | Nov 24, 2018 | SurveyVariational Inference | CodeCode Available | 0 |
| Joint Mapping and Calibration via Differentiable Sensor Fusion | Nov 21, 2018 | ClusteringProbabilistic Programming | —Unverified | 0 |
| Black-Box Autoregressive Density Estimation for State-Space Models | Nov 20, 2018 | Bayesian InferenceDeep Learning | —Unverified | 0 |
| Mixed Likelihood Gaussian Process Latent Variable Model | Nov 19, 2018 | modelVariational Inference | CodeCode Available | 0 |
| A Variational Dirichlet Framework for Out-of-Distribution Detection | Nov 18, 2018 | Out-of-Distribution DetectionVariational Inference | —Unverified | 0 |
