| Continual Learning via Sequential Function-Space Variational Inference | Dec 28, 2023 | Bayesian InferenceContinual Learning | CodeCode Available | 1 |
| Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching | Dec 27, 2023 | Variational Inference | CodeCode Available | 1 |
| Partially factorized variational inference for high-dimensional mixed models | Dec 20, 2023 | Uncertainty QuantificationVariational Inference | CodeCode Available | 1 |
| Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs | Dec 16, 2023 | Time SeriesVariational Inference | CodeCode Available | 1 |
| Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference | Dec 10, 2023 | State Space ModelsVariational Inference | CodeCode Available | 1 |
| Variational Bayes image restoration with compressive autoencoders | Nov 29, 2023 | Image RestorationVariational Inference | CodeCode Available | 1 |
| Probabilistic Transformer: A Probabilistic Dependency Model for Contextual Word Representation | Nov 26, 2023 | SentenceVariational Inference | CodeCode Available | 1 |
| Discovering Mixtures of Structural Causal Models from Time Series Data | Oct 10, 2023 | Causal DiscoveryTime Series | CodeCode Available | 1 |
| LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints | Sep 27, 2023 | Variational Inference | CodeCode Available | 1 |
| BayesDLL: Bayesian Deep Learning Library | Sep 22, 2023 | Bayesian InferenceDeep Learning | CodeCode Available | 1 |
