| Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction | Aug 8, 2023 | Conformal PredictionUncertainty Quantification | —Unverified | 0 | 0 |
| FedPop: A Bayesian Approach for Personalised Federated Learning | Jun 7, 2022 | Federated LearningUncertainty Quantification | —Unverified | 0 | 0 |
| FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification | Apr 24, 2024 | Federated LearningPersonalized Federated Learning | —Unverified | 0 | 0 |
| Feedforward neural networks as statistical models: Improving interpretability through uncertainty quantification | Nov 14, 2023 | PredictionUncertainty Quantification | —Unverified | 0 | 0 |
| Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks | May 3, 2024 | FairnessImage Segmentation | —Unverified | 0 | 0 |
| (f,Γ)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics | Nov 11, 2020 | Image GenerationUncertainty Quantification | —Unverified | 0 | 0 |
| Fairness Uncertainty Quantification: How certain are you that the model is fair? | Apr 27, 2023 | FairnessUncertainty Quantification | —Unverified | 0 | 0 |
| Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion | Oct 16, 2024 | 3D Object DetectionObject | —Unverified | 0 | 0 |
| Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification | Mar 7, 2024 | Fact CheckingHallucination | —Unverified | 0 | 0 |
| CoCoAFusE: Beyond Mixtures of Experts via Model Fusion | May 2, 2025 | Mixture-of-ExpertsPhilosophy | —Unverified | 0 | 0 |
