| Non-intrusive surrogate modelling using sparse random features with applications in crashworthiness analysis | Dec 30, 2022 | Dimensionality ReductionSupervised dimensionality reduction | —Unverified | 0 |
| Nonintrusive Uncertainty Quantification for automotive crash problems with VPS/Pamcrash | Feb 15, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Nonlinear Discrete-Time Observers with Physics-Informed Neural Networks | Feb 19, 2024 | State EstimationUncertainty Quantification | —Unverified | 0 |
| Nonparametric Empirical Bayes Estimation and Testing for Sparse and Heteroscedastic Signals | Jun 16, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Nonparametric Multi-shape Modeling with Uncertainty Quantification | Jun 18, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Nonparametric posterior learning for emission tomography with multimodal data | Jul 29, 2021 | Data AugmentationUncertainty Quantification | —Unverified | 0 |
| Non-parametric Uncertainty Assessment in Deep-Learning Based Affine Image Registration | Feb 4, 2022 | Affine Image RegistrationDeep Learning | —Unverified | 0 |
| Non-reversible Gaussian processes for identifying latent dynamical structure in neural data | Dec 1, 2020 | Gaussian ProcessesModel Selection | —Unverified | 0 |
| Non-stationary and Sparsely-correlated Multi-output Gaussian Process with Spike-and-Slab Prior | Sep 5, 2024 | Decision MakingTransfer Learning | —Unverified | 0 |
| Beyond Conformal Predictors: Adaptive Conformal Inference with Confidence Predictors | Sep 23, 2024 | Computational EfficiencyConformal Prediction | —Unverified | 0 |
