| Clarifying Trust of Materials Property Predictions using Neural Networks with Distribution-Specific Uncertainty Quantification | Feb 6, 2023 | regressionUncertainty Quantification | —Unverified | 0 |
| Dropout Injection at Test Time for Post Hoc Uncertainty Quantification in Neural Networks | Feb 6, 2023 | Crowd CountingUncertainty Quantification | CodeCode Available | 1 |
| Generating Evidential BEV Maps in Continuous Driving Space | Feb 6, 2023 | Autonomous Drivingobject-detection | CodeCode Available | 1 |
| 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 |
| Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition | Feb 2, 2023 | BenchmarkingDeep Learning | CodeCode Available | 0 |
| Physics Constrained Motion Prediction with Uncertainty Quantification | Feb 2, 2023 | Autonomous DrivingAutonomous Racing | —Unverified | 0 |
| Randomized prior wavelet neural operator for uncertainty quantification | Feb 2, 2023 | Operator learningUncertainty Quantification | —Unverified | 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 |
| Combinatorial Inference on the Optimal Assortment in Multinomial Logit Models | Jan 28, 2023 | Assortment OptimizationChange Point Detection | —Unverified | 0 |
| From Classification Accuracy to Proper Scoring Rules: Elicitability of Probabilistic Top List Predictions | Jan 27, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Conformal Prediction for Trustworthy Detection of Railway Signals | Jan 26, 2023 | Conformal PredictionPrediction | —Unverified | 0 |
| A Hybrid Deep Neural Operator/Finite Element Method for Ice-Sheet Modeling | Jan 26, 2023 | FrictionUncertainty Quantification | —Unverified | 0 |
| Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification | Jan 26, 2023 | Semantic ParsingUncertainty Quantification | —Unverified | 0 |
| Adaptive Probabilistic Forecasting of Electricity (Net-)Load | Jan 24, 2023 | Load ForecastingUncertainty Quantification | —Unverified | 0 |
| Semiparametric inference using fractional posteriors | Jan 19, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Physics-informed Information Field Theory for Modeling Physical Systems with Uncertainty Quantification | Jan 18, 2023 | Uncertainty Quantification | CodeCode Available | 1 |
| Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics | Jan 16, 2023 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows | Jan 13, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification for Local Model Explanations Without Model Access | Jan 13, 2023 | modelregression | CodeCode Available | 0 |
| Constraining cosmological parameters from N-body simulations with Variational Bayesian Neural Networks | Jan 9, 2023 | Uncertainty Quantification | —Unverified | 0 |
