| From Rain Generation to Rain Removal | Aug 8, 2020 | Rain RemovalSingle Image Deraining | CodeCode Available | 1 |
| Convergence of Sparse Variational Inference in Gaussian Processes Regression | Aug 1, 2020 | Gaussian Processesregression | CodeCode Available | 1 |
| Randomized Automatic Differentiation | Jul 20, 2020 | Stochastic OptimizationVariational Inference | CodeCode Available | 1 |
| State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes | Jul 12, 2020 | Bayesian InferenceComputational Efficiency | CodeCode Available | 1 |
| Fast Variational Learning in State-Space Gaussian Process Models | Jul 9, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Learning Sparse Prototypes for Text Generation | Jun 29, 2020 | Language ModelingLanguage Modelling | CodeCode Available | 1 |
| not-MIWAE: Deep Generative Modelling with Missing not at Random Data | Jun 23, 2020 | Missing ValuesVariational Inference | CodeCode Available | 1 |
| Fast and Flexible Temporal Point Processes with Triangular Maps | Jun 22, 2020 | Point ProcessesVariational Inference | CodeCode Available | 1 |
| Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes | Jun 19, 2020 | Continual LearningDecision Making | CodeCode Available | 1 |
| Constraining Variational Inference with Geometric Jensen-Shannon Divergence | Jun 18, 2020 | Variational Inference | CodeCode Available | 1 |
