| Variational Inference on the Final-Layer Output of Neural Networks | Feb 5, 2023 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 |
| Generalized Uncertainty of Deep Neural Networks: Taxonomy and Applications | Feb 2, 2023 | Knowledge DistillationModel Compression | —Unverified | 0 |
| Randomized prior wavelet neural operator for uncertainty quantification | Feb 2, 2023 | Operator learningUncertainty Quantification | —Unverified | 0 |
| Physics Constrained Motion Prediction with Uncertainty Quantification | Feb 2, 2023 | Autonomous DrivingAutonomous Racing | —Unverified | 0 |
| Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition | Feb 2, 2023 | BenchmarkingDeep Learning | CodeCode Available | 0 |
| Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery | Feb 1, 2023 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference | Jan 31, 2023 | parameter estimationUncertainty Quantification | —Unverified | 0 |
| Convergence of uncertainty estimates in Ensemble and Bayesian sparse model discovery | Jan 30, 2023 | Model Discoveryregression | —Unverified | 0 |
| On Second-Order Scoring Rules for Epistemic Uncertainty Quantification | Jan 30, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Incremental Value and Interpretability of Radiomics Features of Both Lung and Epicardial Adipose Tissue for Detecting the Severity of COVID-19 Infection | Jan 29, 2023 | severity predictionUncertainty Quantification | —Unverified | 0 |
