| Gaussian Process-Gated Hierarchical Mixtures of Experts | Feb 9, 2023 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| 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 |
| Federated Variational Inference Methods for Structured Latent Variable Models | Feb 7, 2023 | Federated LearningTopic Models | —Unverified | 0 |
| Prior Density Learning in Variational Bayesian Phylogenetic Parameters Inference | Feb 6, 2023 | Variational Inference | CodeCode Available | 0 |
| Flat Seeking Bayesian Neural Networks | Feb 6, 2023 | Deep LearningVariational Inference | —Unverified | 0 |
| Variational Inference on the Final-Layer Output of Neural Networks | Feb 5, 2023 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 |
| Short-term Prediction and Filtering of Solar Power Using State-Space Gaussian Processes | Feb 1, 2023 | Gaussian ProcessesManagement | —Unverified | 0 |
| Learning noisy-OR Bayesian Networks with Max-Product Belief Propagation | Jan 31, 2023 | Variational Inference | —Unverified | 0 |
| A theory of continuous generative flow networks | Jan 30, 2023 | Variational Inference | CodeCode Available | 1 |
| SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking | Jan 29, 2023 | Contrastive LearningSelf-Supervised Learning | —Unverified | 0 |
| Variational Latent Branching Model for Off-Policy Evaluation | Jan 28, 2023 | modelOff-policy evaluation | CodeCode Available | 0 |
| normflows: A PyTorch Package for Normalizing Flows | Jan 26, 2023 | Image GenerationVariational Inference | CodeCode Available | 2 |
| Rigid Body Flows for Sampling Molecular Crystal Structures | Jan 26, 2023 | Variational Inference | CodeCode Available | 1 |
| Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates | Jan 26, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Neural Dynamic Focused Topic Model | Jan 26, 2023 | modelTopic Models | CodeCode Available | 0 |
| Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective | Jan 25, 2023 | Graph Neural NetworkVariational Inference | —Unverified | 0 |
| Towards Flexibility and Interpretability of Gaussian Process State-Space Model | Jan 21, 2023 | State Space ModelsVariational Inference | CodeCode Available | 0 |
| Projective Integral Updates for High-Dimensional Variational Inference | Jan 20, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| BayesSpeech: A Bayesian Transformer Network for Automatic Speech Recognition | Jan 16, 2023 | Automatic Speech RecognitionAutomatic Speech Recognition (ASR) | —Unverified | 0 |
| Variational Inference: Posterior Threshold Improves Network Clustering Accuracy in Sparse Regimes | Jan 12, 2023 | ClusteringCommunity Detection | —Unverified | 0 |
| Fast and Correct Gradient-Based Optimisation for Probabilistic Programming via Smoothing | Jan 9, 2023 | Probabilistic ProgrammingVariational Inference | —Unverified | 0 |
| A Probabilistic Framework for Visual Localization in Ambiguous Scenes | Jan 5, 2023 | Variational InferenceVisual Localization | CodeCode Available | 1 |
| A Tutorial on Parametric Variational Inference | Jan 3, 2023 | Variational Inference | —Unverified | 0 |
| Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise | Jan 3, 2023 | BenchmarkingClassification | —Unverified | 0 |
