| Dimensionality reduction can be used as a surrogate model for high-dimensional forward uncertainty quantification | Feb 7, 2024 | Dimensionality ReductionUncertainty Quantification | —Unverified | 0 |
| Dimension-Free Average Treatment Effect Inference with Deep Neural Networks | Dec 2, 2021 | regressionUncertainty Quantification | —Unverified | 0 |
| Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data | Oct 31, 2023 | Causal DiscoveryEEG | —Unverified | 0 |
| Direct segmentation of brain white matter tracts in diffusion MRI | Jul 5, 2023 | Brain SegmentationDiffusion MRI | —Unverified | 0 |
| Bayesian semi-supervised learning for uncertainty-calibrated prediction of molecular properties and active learning | Feb 3, 2019 | Active LearningDrug Discovery | —Unverified | 0 |
| An Overview of Large Language Models for Statisticians | Feb 25, 2025 | Causal InferenceDecision Making | —Unverified | 0 |
| Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks | Dec 18, 2023 | Federated LearningPersonalized Federated Learning | —Unverified | 0 |
| Discovery of Probabilistic Dirichlet-to-Neumann Maps on Graphs | Jun 3, 2025 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Bayesian Spike Train Inference via Non-Local Priors | May 27, 2023 | Uncertainty Quantification | —Unverified | 0 |
| An Efficient and Uncertainty-aware Reinforcement Learning Framework for Quality Assurance in Extrusion Additive Manufacturing | Mar 2, 2025 | Q-LearningUncertainty Quantification | —Unverified | 0 |
