| Stochastic Normalizing Flows | Feb 21, 2020 | Variational Inference | —Unverified | 0 |
| Deep Gaussian Markov Random Fields | Feb 18, 2020 | Variational Inference | CodeCode Available | 0 |
| Latent Variable Modelling with Hyperbolic Normalizing Flows | Feb 15, 2020 | Density EstimationVariational Inference | CodeCode Available | 1 |
| Robustness of Bayesian Neural Networks to Gradient-Based Attacks | Feb 11, 2020 | Variational Inference | CodeCode Available | 1 |
| Large Scale Tensor Regression using Kernels and Variational Inference | Feb 11, 2020 | regressionVariational Inference | —Unverified | 0 |
| Cross-modal variational inference for bijective signal-symbol translation | Feb 10, 2020 | Audio GenerationDensity Estimation | —Unverified | 0 |
| Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations | Feb 10, 2020 | Variational Inference | —Unverified | 0 |
| A Probabilistic Formulation of Unsupervised Text Style Transfer | Feb 10, 2020 | DeciphermentLanguage Modelling | CodeCode Available | 1 |
| The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks | Feb 7, 2020 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Conditional Deep Gaussian Processes: multi-fidelity kernel learning | Feb 7, 2020 | Few-Shot LearningGaussian Processes | CodeCode Available | 0 |
