| Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization | Dec 10, 2020 | Density EstimationVariational Inference | CodeCode Available | 1 |
| Bayesian Image Reconstruction using Deep Generative Models | Dec 8, 2020 | Image DenoisingImage Inpainting | CodeCode Available | 1 |
| Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification | Dec 4, 2020 | Bayesian InferenceDecision Making Under Uncertainty | CodeCode Available | 1 |
| Stochastic Deep Gaussian Processes over Graphs | Dec 1, 2020 | Gaussian ProcessesVariational Inference | CodeCode Available | 1 |
| Graph Stochastic Neural Networks for Semi-supervised Learning | Dec 1, 2020 | ClassificationGeneral Classification | CodeCode Available | 1 |
| SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations | Nov 21, 2020 | 4kSemi-Supervised Image Classification | CodeCode Available | 1 |
| User-Dependent Neural Sequence Models for Continuous-Time Event Data | Nov 6, 2020 | Variational Inference | CodeCode Available | 1 |
| A Discrete Variational Recurrent Topic Model without the Reparametrization Trick | Oct 22, 2020 | document understandingVariational Inference | CodeCode Available | 1 |
| Probabilistic Circuits for Variational Inference in Discrete Graphical Models | Oct 22, 2020 | Variational Inference | CodeCode Available | 1 |
| VarGrad: A Low-Variance Gradient Estimator for Variational Inference | Oct 20, 2020 | Variational Inference | CodeCode Available | 1 |
