| Neural Spline Flows | Jun 10, 2019 | Density EstimationVariational Inference | CodeCode Available | 1 |
| Structured Output Learning with Conditional Generative Flows | May 30, 2019 | PredictionStructured Prediction | CodeCode Available | 1 |
| Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces | May 17, 2019 | Image ImputationImputation | CodeCode Available | 1 |
| Sliced Score Matching: A Scalable Approach to Density and Score Estimation | May 17, 2019 | Variational Inference | CodeCode Available | 1 |
| Unsupervised Data Imputation via Variational Inference of Deep Subspaces | Mar 8, 2019 | ImputationVariational Inference | CodeCode Available | 1 |
| Learning Latent Dynamics for Planning from Pixels | Nov 12, 2018 | continuous-controlContinuous Control | CodeCode Available | 1 |
| Variational Noise-Contrastive Estimation | Oct 18, 2018 | parameter estimationVariational Inference | CodeCode Available | 1 |
| Variational Bayesian Monte Carlo | Oct 12, 2018 | Bayesian InferenceModel Selection | CodeCode Available | 1 |
| Deep Active Inference | Oct 11, 2018 | Variational Inference | CodeCode Available | 1 |
| FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models | Oct 2, 2018 | Density EstimationForm | CodeCode Available | 1 |
