| Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels | Oct 9, 2023 | Equation Discoveryregression | CodeCode Available | 0 | 5 |
| Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification | Nov 26, 2022 | Additive modelsregression | CodeCode Available | 0 | 5 |
| Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent | Feb 5, 2018 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Ensemble of Pre-Trained Neural Networks for Segmentation and Quality Detection of Transmission Electron Microscopy Images | Sep 5, 2022 | Semantic SegmentationUncertainty Quantification | CodeCode Available | 0 | 5 |
| EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations | Mar 27, 2025 | Operator learningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Bayesian Continual Learning via Spiking Neural Networks | Aug 29, 2022 | Continual LearningManagement | CodeCode Available | 0 | 5 |
| Bayesian Concept Bottleneck Models with LLM Priors | Oct 21, 2024 | Image Classificationtabular-classification | CodeCode Available | 0 | 5 |
| An age-structured SEIR model for COVID--19 incidence in Dublin, Ireland with framework for evaluating health intervention cost | Jun 11, 2021 | counterfactualUncertainty Quantification | CodeCode Available | 0 | 5 |
| Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte Carlo | Oct 25, 2023 | QuantizationUncertainty Quantification | CodeCode Available | 0 | 5 |
| Bayesian computation with generative diffusion models by Multilevel Monte Carlo | Sep 23, 2024 | Uncertainty Quantification | CodeCode Available | 0 | 5 |