| Learning to infer in recurrent biological networks | Jun 18, 2020 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Constraining Variational Inference with Geometric Jensen-Shannon Divergence | Jun 18, 2020 | Variational Inference | CodeCode Available | 1 |
| Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization | Jun 18, 2020 | Variational InferenceVariational Monte Carlo | —Unverified | 0 |
| Categorical Normalizing Flows via Continuous Transformations | Jun 17, 2020 | DecoderInductive Bias | CodeCode Available | 1 |
| 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 |
| Density Deconvolution with Normalizing Flows | Jun 16, 2020 | Density EstimationVariational Inference | CodeCode Available | 1 |
| PAC-Bayesian Generalization Bounds for MultiLayer Perceptrons | Jun 16, 2020 | Generalization BoundsVariational Inference | —Unverified | 0 |
| A Deterministic Approximation to Neural SDEs | Jun 16, 2020 | Time Series AnalysisUncertainty Quantification | —Unverified | 0 |
| Manifold GPLVMs for discovering non-Euclidean latent structure in neural data | Jun 12, 2020 | Variational Inference | CodeCode Available | 1 |
