| 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 |
