| Accurate and Reliable Forecasting using Stochastic Differential Equations | Mar 28, 2021 | DiagnosticPrediction Intervals | —Unverified | 0 |
| Counterfactual Uncertainty Quantification of Factual Estimand of Efficacy from Before-and-After Treatment Repeated Measures Randomized Controlled Trials | Nov 14, 2024 | counterfactualUncertainty Quantification | —Unverified | 0 |
| IntraSeismic: a coordinate-based learning approach to seismic inversion | Dec 17, 2023 | Data CompressionSeismic Imaging | —Unverified | 0 |
| Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics | Jan 16, 2023 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Covariance-Free Sparse Bayesian Learning | May 21, 2021 | compressed sensingMRI Reconstruction | —Unverified | 0 |
| Improved Calibration of Numerical Integration Error in Sigma-Point Filters | Nov 28, 2018 | Numerical IntegrationUncertainty Quantification | —Unverified | 0 |
| Improved Active Learning via Dependent Leverage Score Sampling | Oct 8, 2023 | Active LearningUncertainty Quantification | —Unverified | 0 |
| Conformal Robust Beamforming via Generative Channel Models | Apr 9, 2025 | Conformal PredictionDecision Making | —Unverified | 0 |
| Inverted Gaussian Process Optimization for Nonparametric Koopman Operator Discovery | Apr 1, 2025 | GPROperator learning | —Unverified | 0 |
| Large Scale Probabilistic Simulation of Renewables Production | May 10, 2022 | ClusteringUncertainty Quantification | —Unverified | 0 |
