| alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extraction | Jan 21, 2022 | Uncertainty QuantificationVariational Inference | CodeCode Available | 1 | 5 |
| Discretely Relaxing Continuous Variables for tractable Variational Inference | Sep 12, 2018 | Variational Inference | CodeCode Available | 1 | 5 |
| Automatic Differentiation Variational Inference | Mar 2, 2016 | Probabilistic ProgrammingVariational Inference | CodeCode Available | 1 | 5 |
| Dynamical Variational Autoencoders: A Comprehensive Review | Aug 28, 2020 | 3D Human DynamicsResynthesis | CodeCode Available | 1 | 5 |
| Variational Bayesian Imaging with an Efficient Surrogate Score-based Prior | Sep 5, 2023 | Variational Inference | CodeCode Available | 1 | 5 |
| Efficient Probabilistic Logic Reasoning with Graph Neural Networks | Jan 29, 2020 | Variational Inference | CodeCode Available | 1 | 5 |
| Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification | Dec 4, 2020 | Bayesian InferenceDecision Making Under Uncertainty | CodeCode Available | 1 | 5 |
| Towards Compact Neural Networks via End-to-End Training: A Bayesian Tensor Approach with Automatic Rank Determination | Oct 17, 2020 | Model CompressionTensor Decomposition | CodeCode Available | 1 | 5 |
| A Deep Variational Approach to Clustering Survival Data | Jun 10, 2021 | ClusteringDeep Clustering | CodeCode Available | 1 | 5 |
| Bayesian Structure Learning with Generative Flow Networks | Feb 28, 2022 | Variational Inference | CodeCode Available | 1 | 5 |
