| Data-Driven Model Selections of Second-Order Particle Dynamics via Integrating Gaussian Processes with Low-Dimensional Interacting Structures | Nov 1, 2023 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Functional Bayesian Neural Networks for Model Uncertainty Quantification | May 1, 2019 | Uncertainty Quantification | —Unverified | 0 |
| Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs | Oct 9, 2024 | Common Sense ReasoningMixture-of-Experts | —Unverified | 0 |
| Functional PCA and Deep Neural Networks-based Bayesian Inverse Uncertainty Quantification with Transient Experimental Data | Jul 10, 2023 | Dimensionality ReductionUncertainty Quantification | —Unverified | 0 |
| Functional SDE approximation inspired by a deep operator network architecture | Feb 5, 2024 | Operator learningUncertainty Quantification | —Unverified | 0 |
| Functional Stochastic Gradient MCMC for Bayesian Neural Networks | Sep 25, 2024 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions | Feb 17, 2023 | Adversarial RobustnessFairness | —Unverified | 0 |
| Function Space Bayesian Pseudocoreset for Bayesian Neural Networks | Oct 27, 2023 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Asymmetric Duos: Sidekicks Improve Uncertainty | May 24, 2025 | image-classificationImage Classification | —Unverified | 0 |
| Bayesian Dynamical System Identification With Unified Sparsity Priors And Model Uncertainty | Mar 8, 2021 | regressionUncertainty Quantification | —Unverified | 0 |