| Variational Orthogonal Features | Jun 23, 2020 | Variational Inference | —Unverified | 0 |
| On the Relationship Between Active Inference and Control as Inference | Jun 23, 2020 | Decision Makingreinforcement-learning | —Unverified | 0 |
| Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors | Jun 22, 2020 | Bayesian Inferenceregression | CodeCode Available | 0 |
| Isometric Gaussian Process Latent Variable Model for Dissimilarity Data | Jun 21, 2020 | Variational Inference | —Unverified | 0 |
| Calibration of Model Uncertainty for Dropout Variational Inference | Jun 20, 2020 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Learning to infer in recurrent biological networks | Jun 18, 2020 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization | Jun 18, 2020 | Variational InferenceVariational Monte Carlo | —Unverified | 0 |
| Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF | Jun 17, 2020 | Bayesian InferenceState Space Models | —Unverified | 0 |
| Analytical Probability Distributions and EM-Learning for Deep Generative Networks | Jun 17, 2020 | Anomaly DetectionImputation | —Unverified | 0 |
| A Deterministic Approximation to Neural SDEs | Jun 16, 2020 | Time Series AnalysisUncertainty Quantification | —Unverified | 0 |
