| Bayesian Predictive Coding | Mar 31, 2025 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 | 0 |
| Bayesian Probabilistic Matrix Factorization | Jun 11, 2025 | Bayesian InferenceComputational Efficiency | —Unverified | 0 | 0 |
| Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective | Nov 3, 2023 | Density Estimationquantile regression | —Unverified | 0 | 0 |
| Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data | Nov 2, 2017 | Spatio-Temporal ForecastingUncertainty Quantification | —Unverified | 0 | 0 |
| Bayesian SegNet for Semantic Segmentation with Improved Interpretation of Microstructural Evolution During Irradiation of Materials | Feb 20, 2025 | Semantic SegmentationUncertainty Quantification | —Unverified | 0 | 0 |
| Bayesian semi-supervised learning for uncertainty-calibrated prediction of molecular properties and active learning | Feb 3, 2019 | Active LearningDrug Discovery | —Unverified | 0 | 0 |
| Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing | Oct 10, 2022 | PredictionUncertainty Quantification | —Unverified | 0 | 0 |
| Bayesian Spike Train Inference via Non-Local Priors | May 27, 2023 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Bayesian subset selection and variable importance for interpretable prediction and classification | Apr 20, 2021 | Data CompressionGeneral Classification | —Unverified | 0 | 0 |
| Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval | Nov 25, 2020 | Computational EfficiencyImage Retrieval | —Unverified | 0 | 0 |
