| Physics-constrained Bayesian inference of state functions in classical density-functional theory | Oct 7, 2020 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Learnable Uncertainty under Laplace Approximations | Oct 6, 2020 | Uncertainty Quantification | CodeCode Available | 1 |
| Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures | Oct 6, 2020 | Deep LearningUncertainty Quantification | CodeCode Available | 0 |
| MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection | Oct 4, 2020 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Neural Bootstrapper | Oct 2, 2020 | Active LearningBIG-bench Machine Learning | CodeCode Available | 1 |
| Fast fully-reproducible serial/parallel Monte Carlo and MCMC simulations and visualizations via ParaMonte::Python library | Oct 1, 2020 | Uncertainty Quantification | CodeCode Available | 1 |
| Active Inference or Control as Inference? A Unifying View | Oct 1, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Metrics for Benchmarking and Uncertainty Quantification: Quality, Applicability, and a Path to Best Practices for Machine Learning in Chemistry | Sep 30, 2020 | BenchmarkingBIG-bench Machine Learning | —Unverified | 0 |
| A robustness measure for singular point and index estimation in discretized orientation and vector fields | Sep 30, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Uncertainty Sets for Image Classifiers using Conformal Prediction | Sep 29, 2020 | Conformal PredictionPrediction | CodeCode Available | 1 |
| BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayesian Fine-tuning | Sep 28, 2020 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| Dynamic graph and polynomial chaos based models for contact tracing data analysis and optimal testing prescription | Sep 10, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Automatic selection of basis-adaptive sparse polynomial chaos expansions for engineering applications | Sep 10, 2020 | Compressive SensingExperimental Design | —Unverified | 0 |
| Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification | Sep 9, 2020 | ClassificationDecision Making | —Unverified | 0 |
| Mutual Information for Explainable Deep Learning of Multiscale Systems | Sep 7, 2020 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| Uncertainty quantification for Markov Random Fields | Aug 31, 2020 | Uncertainty Quantification | —Unverified | 0 |
| SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates | Aug 24, 2020 | Uncertainty Quantification | CodeCode Available | 1 |
| Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables | Aug 21, 2020 | Computational Efficiencyregression | —Unverified | 0 |
| Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior | Aug 20, 2020 | DenoisingImage Denoising | CodeCode Available | 1 |
| Bayesian neural networks and dimensionality reduction | Aug 18, 2020 | Bayesian InferenceDimensionality Reduction | —Unverified | 0 |
| RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image Segmentation | Aug 16, 2020 | Efficient Neural NetworkImage Segmentation | CodeCode Available | 1 |
| Data-Informed Decomposition for Localized Uncertainty Quantification of Dynamical Systems | Aug 14, 2020 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification using Variational Inference for Biomedical Image Segmentation | Aug 12, 2020 | Decoderimage-classification | CodeCode Available | 0 |
| Machine Learning for Robust Identification of Complex Nonlinear Dynamical Systems: Applications to Earth Systems Modeling | Aug 12, 2020 | BIG-bench Machine LearningGaussian Processes | —Unverified | 0 |
| Uncertainty Quantification of Locally Nonlinear Dynamical Systems using Neural Networks | Aug 11, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Evaluating probabilistic classifiers: Reliability diagrams and score decompositions revisited | Aug 7, 2020 | scoring ruleUncertainty Quantification | —Unverified | 0 |
| Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification | Aug 7, 2020 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises | Aug 2, 2020 | Deep LearningSurvey | —Unverified | 0 |
| Rule-based Bayesian regression | Aug 2, 2020 | Bayesian Inferenceregression | CodeCode Available | 0 |
| Real-Time Uncertainty Estimation in Computer Vision via Uncertainty-Aware Distribution Distillation | Jul 31, 2020 | Depth EstimationSemantic Segmentation | —Unverified | 0 |
| Hybrid Deep Learning Gaussian Process for Diabetic Retinopathy Diagnosis and Uncertainty Quantification | Jul 29, 2020 | Binary ClassificationDiagnostic | CodeCode Available | 0 |
| Self-Powered Solar Aerial Vehicles: Towards Infinite Endurance UAVs | Jul 24, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Daily Forecasting of New Cases for Regional Epidemics of Coronavirus Disease 2019 with Bayesian Uncertainty Quantification | Jul 20, 2020 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 1 |
| Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes | Jul 20, 2020 | ClassificationGaussian Processes | CodeCode Available | 1 |
| Semi Conditional Variational Auto-Encoder for Flow Reconstruction and Uncertainty Quantification from Limited Observations | Jul 19, 2020 | DecoderUncertainty Quantification | —Unverified | 0 |
| A Distributionally Robust Approach to Fair Classification | Jul 18, 2020 | ClassificationFairness | —Unverified | 0 |
| Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning | Jul 18, 2020 | COVID-19 DiagnosisUncertainty Quantification | CodeCode Available | 0 |
| Estimation and uncertainty quantification for piecewise smooth signal recovery | Jul 17, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification and Deep Ensembles | Jul 17, 2020 | Data AugmentationUncertainty Quantification | CodeCode Available | 1 |
| 3D CNN-PCA: A Deep-Learning-Based Parameterization for Complex Geomodels | Jul 16, 2020 | Uncertainty QuantificationVideo Classification | —Unverified | 0 |
| Extended Stochastic Block Models with Application to Criminal Networks | Jul 16, 2020 | Community DetectionModel Selection | CodeCode Available | 1 |
| Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows | Jul 15, 2020 | Bayesian InferenceTransfer Learning | —Unverified | 0 |
| Deep composition of tensor-trains using squared inverse Rosenblatt transports | Jul 14, 2020 | parameter estimationUncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification in Deep Residual Neural Networks | Jul 9, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds | Jul 3, 2020 | 3D Semantic SegmentationDecision Making | —Unverified | 0 |
| Uncertainty Prediction for Deep Sequential Regression Using Meta Models | Jul 2, 2020 | Predictionregression | —Unverified | 0 |
| A Perspective on Gaussian Processes for Earth Observation | Jul 2, 2020 | Causal InferenceEarth Observation | —Unverified | 0 |
| Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions | Jun 29, 2020 | Uncertainty Quantification | CodeCode Available | 0 |
| Unsupervised Calibration under Covariate Shift | Jun 29, 2020 | Decision MakingDomain Adaptation | —Unverified | 0 |
| A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications | Jun 26, 2020 | Autonomous VehiclesUncertainty Quantification | —Unverified | 0 |
