| Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework | Feb 2, 2025 | Federated LearningUncertainty Quantification | —Unverified | 0 |
| Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction | Aug 8, 2023 | Conformal PredictionUncertainty Quantification | —Unverified | 0 |
| FedPop: A Bayesian Approach for Personalised Federated Learning | Jun 7, 2022 | Federated LearningUncertainty Quantification | —Unverified | 0 |
| FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification | Apr 24, 2024 | Federated LearningPersonalized Federated Learning | —Unverified | 0 |
| Feedforward neural networks as statistical models: Improving interpretability through uncertainty quantification | Nov 14, 2023 | PredictionUncertainty Quantification | —Unverified | 0 |
| (f,Γ)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics | Nov 11, 2020 | Image GenerationUncertainty Quantification | —Unverified | 0 |
| Finding Optimal Points for Expensive Functions Using Adaptive RBF-Based Surrogate Model Via Uncertainty Quantification | Jan 19, 2020 | global-optimizationUncertainty Quantification | —Unverified | 0 |
| Fine-Grained Uncertainty Quantification via Collisions | Nov 18, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Finite Element Method-enhanced Neural Network for Forward and Inverse Problems | May 17, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling | Aug 7, 2024 | Computational EfficiencyOut-of-Distribution Detection | —Unverified | 0 |
