| A Framework for Improving the Reliability of Black-box Variational Inference | Mar 29, 2022 | Bayesian InferenceStochastic Optimization | CodeCode Available | 1 | 5 |
| Robust Deep Learning from Crowds with Belief Propagation | Nov 1, 2021 | Deep LearningVariational Inference | CodeCode Available | 1 | 5 |
| Robust Variational Contrastive Learning for Partially View-unaligned Clustering | Oct 28, 2024 | ClusteringContrastive Learning | CodeCode Available | 1 | 5 |
| Constraining Variational Inference with Geometric Jensen-Shannon Divergence | Jun 18, 2020 | Variational Inference | CodeCode Available | 1 | 5 |
| Continuous-Time Deep Glioma Growth Models | Jun 23, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization | Dec 10, 2020 | Density EstimationVariational Inference | CodeCode Available | 1 | 5 |
| Continual Repeated Annealed Flow Transport Monte Carlo | Jan 31, 2022 | Variational Inference | CodeCode Available | 1 | 5 |
| Differentiable Causal Discovery Under Latent Interventions | Mar 4, 2022 | Causal DiscoveryVariational Inference | CodeCode Available | 1 | 5 |
| A Deep Variational Approach to Clustering Survival Data | Jun 10, 2021 | ClusteringDeep Clustering | CodeCode Available | 1 | 5 |
| Dynamical Variational Autoencoders: A Comprehensive Review | Aug 28, 2020 | 3D Human DynamicsResynthesis | CodeCode Available | 1 | 5 |
