| Online scalable Gaussian processes with conformal prediction for guaranteed coverage | Oct 7, 2024 | Conformal PredictionGaussian Processes | —Unverified | 0 |
| Beyond Calibration: Assessing the Probabilistic Fit of Neural Regressors via Conditional Congruence | May 20, 2024 | Decision MakingUncertainty Quantification | —Unverified | 0 |
| On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression | Feb 24, 2022 | 3D ReconstructionAutonomous Driving | —Unverified | 0 |
| On Second-Order Scoring Rules for Epistemic Uncertainty Quantification | Jan 30, 2023 | Uncertainty Quantification | —Unverified | 0 |
| On Semi-parametric Inference for BART | Jan 1, 2020 | BIG-bench Machine Learningregression | —Unverified | 0 |
| On the Computation and Applications of Large Dense Partial Correlation Networks | Mar 17, 2019 | Dimensionality ReductionModel Selection | —Unverified | 0 |
| Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation | Mar 11, 2022 | Uncertainty Quantification | —Unverified | 0 |
| On the Disconnect Between Theory and Practice of Neural Networks: Limits of the NTK Perspective | Sep 29, 2023 | Continual LearningUncertainty Quantification | —Unverified | 0 |
| On the Importance of Clearsky Model in Short-Term Solar Radiation Forecasting | Mar 6, 2025 | quantile regressionUncertainty Quantification | —Unverified | 0 |
| On the Independence Assumption in Neurosymbolic Learning | Apr 12, 2024 | Uncertainty Quantificationvalid | —Unverified | 0 |