3 papers
math.NA2025
Hyper-differential sensitivity analysis with respect to model discrepancy: Prior distributions
Joseph Hart, Bart van Bloemen Waanders, Jixian Li +2
Hyper-differential sensitivity analysis with respect to model discrepancy was recently developed to enable uncertainty quantification for optimization problems. The approach consis…
cs.LG2025
Uncertainty Tube Visualization of Particle Trajectories
Jixian Li, Timbwaoga Aime Judicael Ouermi, Mengjiao Han +1
Predicting particle trajectories with neural networks (NNs) has substantially enhanced many scientific and engineering domains. However, effectively quantifying and visualizing the…
cs.CE2025
A Fast Iterative Robust Principal Component Analysis Method
Timbwaoga Aime Judicael Ouermi, Jixian Li, Chris R. Johnson
Principal Component Analysis (PCA) is widely used for dimensionality reduction and data analysis. However, PCA results are adversely affected by outliers often observed in real-wor…