| Feedforward neural networks as statistical models: Improving interpretability through uncertainty quantification | Nov 14, 2023 | PredictionUncertainty Quantification | —Unverified | 0 | 0 |
| (f,Γ)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics | Nov 11, 2020 | Image GenerationUncertainty Quantification | —Unverified | 0 | 0 |
| Finding Optimal Points for Expensive Functions Using Adaptive RBF-Based Surrogate Model Via Uncertainty Quantification | Jan 19, 2020 | global-optimizationUncertainty Quantification | —Unverified | 0 | 0 |
| Fine-Grained Uncertainty Quantification via Collisions | Nov 18, 2024 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Finite Element Method-enhanced Neural Network for Forward and Inverse Problems | May 17, 2022 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling | Aug 7, 2024 | Computational EfficiencyOut-of-Distribution Detection | —Unverified | 0 | 0 |
| Forecasting Geopolitical Events with a Sparse Temporal Fusion Transformer and Gaussian Process Hybrid: A Case Study in Middle Eastern and U.S. Conflict Dynamics | Jun 26, 2025 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Forecasting the future development in quality and value of professional football players for applications in team management | Feb 11, 2025 | Explainable ModelsManagement | —Unverified | 0 | 0 |
| Forecasting Wireless Demand with Extreme Values using Feature Embedding in Gaussian Processes | May 15, 2019 | Gaussian ProcessesTraffic Prediction | —Unverified | 0 | 0 |
| Formal Verification and Control with Conformal Prediction | Aug 31, 2024 | ArticlesConformal Prediction | —Unverified | 0 | 0 |