| Beyond mirkwood: Enhancing SED Modeling with Conformal Predictions | Dec 21, 2023 | Conformal Predictionquantile regression | —Unverified | 0 | 0 |
| Beyond Non-Expert Demonstrations: Outcome-Driven Action Constraint for Offline Reinforcement Learning | Apr 2, 2025 | MuJoCoUncertainty Quantification | —Unverified | 0 | 0 |
| Beyond Reweighting: On the Predictive Role of Covariate Shift in Effect Generalization | Dec 12, 2024 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA | Jun 14, 2025 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Beyond the Norms: Detecting Prediction Errors in Regression Models | Jun 11, 2024 | DiversityPrediction | —Unverified | 0 | 0 |
| Beyond the proton drip line: Bayesian analysis of proton-emitting nuclei | Oct 28, 2019 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 | 0 |
| Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields | Jul 16, 2023 | Computational EfficiencyGaussian Processes | —Unverified | 0 | 0 |
| Black-box Uncertainty Quantification Method for LLM-as-a-Judge | Oct 15, 2024 | Decision MakingUncertainty Quantification | —Unverified | 0 | 0 |
| B-LSTM-MIONet: Bayesian LSTM-based Neural Operators for Learning the Response of Complex Dynamical Systems to Length-Variant Multiple Input Functions | Nov 28, 2023 | Uncertainty Quantification | —Unverified | 0 | 0 |
| B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data | Mar 13, 2020 | Uncertainty QuantificationVariational Inference | —Unverified | 0 | 0 |
