| Bayesian neural networks for weak solution of PDEs with uncertainty quantification | Jan 13, 2021 | Decision MakingUncertainty Quantification | —Unverified | 0 |
| Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks | Jan 11, 2021 | Bayesian InferenceDimensionality Reduction | —Unverified | 0 |
| Distribution-Free, Risk-Controlling Prediction Sets | Jan 7, 2021 | BIG-bench Machine LearningClassification | CodeCode Available | 2 |
| DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation | Jan 1, 2021 | Decision MakingUncertainty Quantification | —Unverified | 0 |
| Meta-Learning Bayesian Neural Network Priors Based on PAC-Bayesian Theory | Jan 1, 2021 | Meta-LearningUncertainty Quantification | —Unverified | 0 |
| Bayesian Learning to Optimize: Quantifying the Optimizer Uncertainty | Jan 1, 2021 | image-classificationImage Classification | —Unverified | 0 |
| Conditional Coverage Estimation for High-quality Prediction Intervals | Jan 1, 2021 | PredictionPrediction Intervals | —Unverified | 0 |
| Variational Deterministic Uncertainty Quantification | Jan 1, 2021 | Causal Inferenceregression | —Unverified | 0 |
| Uncertainty-Wizard: Fast and User-Friendly Neural Network Uncertainty Quantification | Dec 29, 2020 | Deep LearningUncertainty Quantification | CodeCode Available | 1 |
| An Algorithm for Sensor Data Uncertainty Quantification | Dec 27, 2020 | Uncertainty Quantification | —Unverified | 0 |
| An Active Learning Method for Diabetic Retinopathy Classification with Uncertainty Quantification | Dec 24, 2020 | Active LearningGeneral Classification | —Unverified | 0 |
| Uncertainty Bounds for Multivariate Machine Learning Predictions on High-Strain Brittle Fracture | Dec 23, 2020 | BIG-bench Machine LearningUncertainty Quantification | —Unverified | 0 |
| Wasserstein Dropout | Dec 23, 2020 | Object Detectionregression | CodeCode Available | 0 |
| Probabilistic Iterative Methods for Linear Systems | Dec 23, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection | Dec 22, 2020 | Transfer LearningUncertainty Quantification | —Unverified | 0 |
| Alternating linear scheme in a Bayesian framework for low-rank tensor approximation | Dec 21, 2020 | Bayesian InferenceTensor Decomposition | —Unverified | 0 |
| Multi-fidelity Bayesian Neural Networks: Algorithms and Applications | Dec 19, 2020 | Active LearningUncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification in Case of Imperfect Models: A Review | Dec 17, 2020 | Uncertainty Quantification | —Unverified | 0 |
| AMICI: High-Performance Sensitivity Analysis for Large Ordinary Differential Equation Models | Dec 16, 2020 | parameter estimationSensitivity | CodeCode Available | 1 |
| Masksembles for Uncertainty Estimation | Dec 15, 2020 | Classifier calibrationEnsemble Learning | CodeCode Available | 1 |
| Active Learning for Deep Gaussian Process Surrogates | Dec 15, 2020 | Active LearningGaussian Processes | CodeCode Available | 0 |
| Probabilistic Contrastive Principal Component Analysis | Dec 14, 2020 | Dimensionality ReductionUncertainty Quantification | CodeCode Available | 1 |
| NP-ODE: Neural Process Aided Ordinary Differential Equations for Uncertainty Quantification of Finite Element Analysis | Dec 12, 2020 | Uncertainty Quantification | CodeCode Available | 0 |
| Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification | Dec 4, 2020 | Bayesian InferenceDecision Making Under Uncertainty | CodeCode Available | 1 |
| Asymptotic normality and confidence intervals for derivatives of 2-layers neural network in the random features model | Dec 1, 2020 | regressionUncertainty Quantification | —Unverified | 0 |
