| Functional Space Variational Inference for Uncertainty Estimation in Computer Aided Diagnosis | May 24, 2020 | Bayesian InferenceLesion Classification | —Unverified | 0 |
| Functional Stochastic Gradient MCMC for Bayesian Neural Networks | Sep 25, 2024 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Functional Variational Inference based on Stochastic Process Generators | Dec 1, 2021 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Function-Space Regularization for Deep Bayesian Classification | Jul 12, 2023 | Adversarial RobustnessClassification | —Unverified | 0 |
| Function-Space Variational Inference for Deep Bayesian Classification | Sep 29, 2021 | Adversarial RobustnessClassification | —Unverified | 0 |
| Further analysis of multilevel Stein variational gradient descent with an application to the Bayesian inference of glacier ice models | Dec 6, 2022 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework | Dec 27, 2023 | PositionVariational Inference | —Unverified | 0 |
| Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence | Dec 1, 2018 | Variational Inference | —Unverified | 0 |
| Gamma Processes, Stick-Breaking, and Variational Inference | Oct 4, 2014 | Variational Inference | —Unverified | 0 |
| Gauging Variational Inference | Mar 3, 2017 | Variational Inference | —Unverified | 0 |
