| 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 |
| DIVA: A Dirichlet Process Mixtures Based Incremental Deep Clustering Algorithm via Variational Auto-Encoder | May 23, 2023 | ClusteringDeep Clustering | CodeCode Available | 1 |
| Confidence-aware Personalized Federated Learning via Variational Expectation Maximization | May 21, 2023 | Federated LearningPersonalized Federated Learning | CodeCode Available | 1 |
| Score-Based Diffusion Models as Principled Priors for Inverse Imaging | Apr 23, 2023 | DeblurringDenoising | CodeCode Available | 1 |
| Bayesian neural networks via MCMC: a Python-based tutorial | Apr 2, 2023 | Bayesian InferenceDeep Learning | CodeCode Available | 1 |
| Interactive Segmentation as Gaussian Process Classification | Feb 28, 2023 | Binary ClassificationClassification | CodeCode Available | 1 |
| Energy-Based Test Sample Adaptation for Domain Generalization | Feb 22, 2023 | Domain GeneralizationVariational Inference | CodeCode Available | 1 |
| Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance | Feb 21, 2023 | Variational Inference | CodeCode Available | 1 |
| GFlowNet-EM for learning compositional latent variable models | Feb 13, 2023 | Variational Inference | CodeCode Available | 1 |
| A Benchmark on Uncertainty Quantification for Deep Learning Prognostics | Feb 9, 2023 | Active LearningDecision Making | CodeCode Available | 1 |
| Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach | Feb 8, 2023 | Distributed OptimizationFederated Learning | CodeCode Available | 1 |
| A theory of continuous generative flow networks | Jan 30, 2023 | Variational Inference | CodeCode Available | 1 |
| Rigid Body Flows for Sampling Molecular Crystal Structures | Jan 26, 2023 | Variational Inference | CodeCode Available | 1 |
| A Probabilistic Framework for Visual Localization in Ambiguous Scenes | Jan 5, 2023 | Variational InferenceVisual Localization | CodeCode Available | 1 |
| Interactive Segmentation As Gaussion Process Classification | Jan 1, 2023 | Binary ClassificationClassification | CodeCode Available | 1 |
| Hierarchical Phrase-based Sequence-to-Sequence Learning | Nov 15, 2022 | Inductive BiasMachine Translation | CodeCode Available | 1 |
| Semi-supervised Variational Autoencoder for Regression: Application on Soft Sensors | Nov 11, 2022 | regressionUncertainty Quantification | CodeCode Available | 1 |
| Learning on Large-scale Text-attributed Graphs via Variational Inference | Oct 26, 2022 | Variational Inference | CodeCode Available | 1 |
| Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment | Oct 24, 2022 | Sequential RecommendationVariational Inference | CodeCode Available | 1 |
| Neural Extended Kalman Filters for Learning and Predicting Dynamics of Structural Systems | Oct 9, 2022 | Structural Health MonitoringVariational Inference | CodeCode Available | 1 |
| Bayesian Prompt Learning for Image-Language Model Generalization | Oct 5, 2022 | Few-Shot LearningLanguage Modeling | CodeCode Available | 1 |
| Variational Open-Domain Question Answering | Sep 23, 2022 | Language ModellingMedQA | CodeCode Available | 1 |
| Variational Inference for Infinitely Deep Neural Networks | Sep 21, 2022 | Variational Inference | CodeCode Available | 1 |
| Bit Allocation using Optimization | Sep 20, 2022 | Variational InferenceVideo Compression | CodeCode Available | 1 |
| Transductive Decoupled Variational Inference for Few-Shot Classification | Aug 22, 2022 | ClassificationFew-Shot Image Classification | CodeCode Available | 1 |
| Training Latent Variable Models with Auto-encoding Variational Bayes: A Tutorial | Aug 16, 2022 | Variational Inference | CodeCode Available | 1 |
