| 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 |
| Bayesian sparsification for deep neural networks with Bayesian model reduction | Sep 21, 2023 | Deep LearningVariational Inference | CodeCode Available | 1 |
| Variational Bayesian Imaging with an Efficient Surrogate Score-based Prior | Sep 5, 2023 | Variational Inference | CodeCode Available | 1 |
| Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models | Sep 3, 2023 | Gaussian ProcessesState Space Models | CodeCode Available | 1 |
| Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image Denoising | Aug 9, 2023 | DenoisingImage Denoising | CodeCode Available | 1 |
| BayesDAG: Gradient-Based Posterior Inference for Causal Discovery | Jul 26, 2023 | Causal DiscoveryVariational Inference | CodeCode Available | 1 |
| Variational Inference with Gaussian Score Matching | Jul 15, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| LINFA: a Python library for variational inference with normalizing flow and annealing | Jul 10, 2023 | Variational Inference | CodeCode Available | 1 |
| Transport meets Variational Inference: Controlled Monte Carlo Diffusions | Jul 3, 2023 | Variational Inference | CodeCode Available | 1 |
| Joint Prompt Optimization of Stacked LLMs using Variational Inference | Jun 21, 2023 | Natural Language UnderstandingVariational Inference | CodeCode Available | 1 |
| Conditional Matrix Flows for Gaussian Graphical Models | Jun 12, 2023 | Model SelectionVariational Inference | CodeCode Available | 1 |
| Path-Specific Counterfactual Fairness for Recommender Systems | Jun 5, 2023 | Blockingcounterfactual | CodeCode Available | 1 |
| ContraBAR: Contrastive Bayes-Adaptive Deep RL | Jun 4, 2023 | Contrastive LearningMeta Reinforcement Learning | CodeCode Available | 1 |
| An information field theory approach to Bayesian state and parameter estimation in dynamical systems | Jun 3, 2023 | parameter estimationState Estimation | CodeCode Available | 1 |
| Low-rank extended Kalman filtering for online learning of neural networks from streaming data | May 31, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| Learning a Structural Causal Model for Intuition Reasoning in Conversation | May 28, 2023 | Causal DiscoveryLanguage Modelling | CodeCode Available | 1 |
