| Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces | Jun 10, 2025 | Conformal PredictionPrediction | —Unverified | 0 |
| Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems | Jul 17, 2023 | Out-of-Distribution GeneralizationTransfer Learning | —Unverified | 0 |
| A robustness measure for singular point and index estimation in discretized orientation and vector fields | Sep 30, 2020 | Uncertainty Quantification | —Unverified | 0 |
| A generalized Bayes framework for probabilistic clustering | Jun 9, 2020 | ClusteringUncertainty Quantification | —Unverified | 0 |
| A Risk-Aware Adaptive Robust MPC with Learned Uncertainty Quantification | Jul 15, 2025 | Active LearningModel Predictive Control | —Unverified | 0 |
| A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows | Jan 13, 2023 | Uncertainty Quantification | —Unverified | 0 |
| A General Framework for Uncertainty Quantification via Neural SDE-RNN | Jun 1, 2023 | ImputationTime Series | —Unverified | 0 |
| A Consistency-Based Loss for Deep Odometry Through Uncertainty Propagation | Jul 1, 2021 | Uncertainty QuantificationVisual Odometry | —Unverified | 0 |
| Combined State and Parameter Estimation in Level-Set Methods | Mar 1, 2019 | parameter estimationState Estimation | —Unverified | 0 |
| A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods | May 24, 2023 | Deep LearningUncertainty Quantification | —Unverified | 0 |