| A Deep Learning approach for parametrized and time dependent Partial Differential Equations using Dimensionality Reduction and Neural ODEs | Feb 12, 2025 | Dimensionality ReductionUncertainty Quantification | —Unverified | 0 | 0 |
| A Deep Learning Approach to Dst Index Prediction | May 5, 2022 | Bayesian InferenceDeep Learning | —Unverified | 0 | 0 |
| A Deep Learning Approach to Multi-Fiber Parameter Estimation and Uncertainty Quantification in Diffusion MRI | May 22, 2024 | Diffusion MRIparameter estimation | —Unverified | 0 | 0 |
| A deep learning driven pseudospectral PCE based FFT homogenization algorithm for complex microstructures | Oct 26, 2021 | Uncertainty Quantification | —Unverified | 0 | 0 |
| A design specification for Critical Illness Digital Twins to cure sepsis: responding to the National Academies of Sciences, Engineering and Medicine Report: Foundational Research Gaps and Future Directions for Digital Twins | May 8, 2024 | Uncertainty Quantification | —Unverified | 0 | 0 |
| A Dictionary Approach to EBSD Indexing | Feb 26, 2015 | Anomaly DetectionUncertainty Quantification | —Unverified | 0 | 0 |
| A Distributionally Robust Approach to Fair Classification | Jul 18, 2020 | ClassificationFairness | —Unverified | 0 | 0 |
| AdjointNet: Constraining machine learning models with physics-based codes | Sep 8, 2021 | Active LearningBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Advanced Stationary and Non-Stationary Kernel Designs for Domain-Aware Gaussian Processes | Feb 5, 2021 | Gaussian Processesregression | —Unverified | 0 | 0 |
| Advances in Surrogate Modeling for Biological Agent-Based Simulations: Trends, Challenges, and Future Prospects | Apr 15, 2025 | parameter estimationUncertainty Quantification | —Unverified | 0 | 0 |
