| 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 |
| Bayesian Image Reconstruction using Deep Generative Models | Dec 8, 2020 | Image DenoisingImage Inpainting | CodeCode Available | 1 | 5 |
| Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference | Dec 10, 2023 | State Space ModelsVariational Inference | CodeCode Available | 1 | 5 |
| Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent | Feb 2, 2024 | Variational Inference | CodeCode Available | 1 | 5 |
| An Empirical Study: Extensive Deep Temporal Point Process | Oct 19, 2021 | Graph structure learningVariational Inference | CodeCode Available | 1 | 5 |
| A Benchmark on Uncertainty Quantification for Deep Learning Prognostics | Feb 9, 2023 | Active LearningDecision Making | CodeCode Available | 1 | 5 |
| Variational multiple shooting for Bayesian ODEs with Gaussian processes | Jun 21, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 1 | 5 |
| From Rain Generation to Rain Removal | Aug 8, 2020 | Rain RemovalSingle Image Deraining | CodeCode Available | 1 | 5 |
| BayesDLL: Bayesian Deep Learning Library | Sep 22, 2023 | Bayesian InferenceDeep Learning | CodeCode Available | 1 | 5 |
