| Smooth Nested Simulation: Bridging Cubic and Square Root Convergence Rates in High Dimensions | Jan 9, 2022 | ManagementUncertainty Quantification | —Unverified | 0 | 0 |
| Sobolev neural network with residual weighting as a surrogate in linear and non-linear mechanics | Jul 23, 2024 | Uncertainty Quantification | —Unverified | 0 | 0 |
| SOFARI-R: High-Dimensional Manifold-Based Inference for Latent Responses | Apr 24, 2025 | Multi-Task LearningUncertainty Quantification | —Unverified | 0 | 0 |
| SoftBart: Soft Bayesian Additive Regression Trees | Oct 28, 2022 | Bayesian Inferenceregression | —Unverified | 0 | 0 |
| Solving Bayesian Inverse Problems via Variational Autoencoders | Dec 5, 2019 | Uncertainty QuantificationVariational Inference | —Unverified | 0 | 0 |
| Solving High-Dimensional Inverse Problems with Auxiliary Uncertainty via Operator Learning with Limited Data | Mar 20, 2023 | Operator learningUncertainty Quantification | —Unverified | 0 | 0 |
| Source-to-Source Automatic Differentiation of OpenMP Parallel Loops | Nov 2, 2021 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Sparse Bayesian Lasso via a Variable-Coefficient _1 Penalty | Nov 9, 2022 | regressionUncertainty Quantification | —Unverified | 0 | 0 |
| Sparse Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis | Jun 11, 2024 | Medical Image AnalysisUncertainty Quantification | —Unverified | 0 | 0 |
| Sparse Deep Learning for Time Series Data: Theory and Applications | Oct 5, 2023 | Deep LearningModel Compression | —Unverified | 0 | 0 |
