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| A Bulirsch-Stoer algorithm using Gaussian processes | May 23, 2019 | Gaussian ProcessesGPR | —Unverified | 0 |
| Conformal uncertainty quantification to evaluate predictive fairness of foundation AI model for skin lesion classes across patient demographics | Mar 31, 2025 | DiagnosticFairness | —Unverified | 0 |
| CATPlan: Loss-based Collision Prediction in End-to-End Autonomous Driving | Mar 10, 2025 | Autonomous DrivingNeRF | —Unverified | 0 |
| Causal Bayesian Optimization | May 24, 2020 | Bayesian OptimizationCausal Inference | —Unverified | 0 |
| Causal Estimation for Text Data with (Apparent) Overlap Violations | Sep 30, 2022 | AttributeCausal Identification | —Unverified | 0 |
| Causally-Aware Spatio-Temporal Multi-Graph Convolution Network for Accurate and Reliable Traffic Prediction | Aug 23, 2024 | Conformal PredictionPrediction | —Unverified | 0 |
| Center-fixing of tropical cyclones using uncertainty-aware deep learning applied to high-temporal-resolution geostationary satellite imagery | Sep 24, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Centroid Approximation for Bootstrap: Improving Particle Quality at Inference | Oct 17, 2021 | Uncertainty Quantification | —Unverified | 0 |
| A robustness measure for singular point and index estimation in discretized orientation and vector fields | Sep 30, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Certified and fast computations with shallow covariance kernels | Jan 24, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems | Jul 17, 2023 | Out-of-Distribution GeneralizationTransfer Learning | —Unverified | 0 |
| A Consistency-Based Loss for Deep Odometry Through Uncertainty Propagation | Jul 1, 2021 | Uncertainty QuantificationVisual Odometry | —Unverified | 0 |
| Advances in Surrogate Modeling for Biological Agent-Based Simulations: Trends, Challenges, and Future Prospects | Apr 15, 2025 | parameter estimationUncertainty Quantification | —Unverified | 0 |
| Characterising User Transfer Amid Industrial Resource Variation: A Bayesian Nonparametric Approach | Sep 25, 2023 | Decision MakingManagement | —Unverified | 0 |
| A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness | May 1, 2022 | Data AugmentationDeep Learning | —Unverified | 0 |
| Clarifying Trust of Materials Property Predictions using Neural Networks with Distribution-Specific Uncertainty Quantification | Feb 6, 2023 | regressionUncertainty Quantification | —Unverified | 0 |
| B-LSTM-MIONet: Bayesian LSTM-based Neural Operators for Learning the Response of Complex Dynamical Systems to Length-Variant Multiple Input Functions | Nov 28, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Uncertainty-aware multi-fidelity surrogate modeling with noisy data | Jan 12, 2024 | Experimental DesignPrediction Intervals | —Unverified | 0 |
| A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval | Jan 6, 2025 | In-Context LearningSensor Modeling | —Unverified | 0 |
| Black-box Uncertainty Quantification Method for LLM-as-a-Judge | Oct 15, 2024 | Decision MakingUncertainty Quantification | —Unverified | 0 |
| Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields | Jul 16, 2023 | Computational EfficiencyGaussian Processes | —Unverified | 0 |
| Approximately Piecewise E(3) Equivariant Point Networks | Feb 13, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion | Oct 16, 2024 | 3D Object DetectionObject | —Unverified | 0 |
| Conformal Prediction for Natural Language Processing: A Survey | May 3, 2024 | Conformal PredictionDecision Making | —Unverified | 0 |