| Materials Property Prediction with Uncertainty Quantification: A Benchmark Study | Nov 4, 2022 | Active LearningBand Gap | CodeCode Available | 1 |
| Fully Bayesian inference for latent variable Gaussian process models | Nov 4, 2022 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification | Nov 3, 2022 | Contrastive Learningparameter estimation | CodeCode Available | 0 |
| Uncertainty Quantification for Rule-Based Models | Nov 3, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Quantifying Model Uncertainty for Semantic Segmentation using Operators in the RKHS | Nov 3, 2022 | Scene SegmentationSegmentation | —Unverified | 0 |
| Conformal Prediction for STL Runtime Verification | Nov 3, 2022 | Conformal PredictionPrediction | —Unverified | 0 |
| Where Do We Go From Here? Guidelines For Offline Recommender Evaluation | Nov 2, 2022 | Hyperparameter OptimizationRecommendation Systems | —Unverified | 0 |
| Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian | Nov 1, 2022 | Decision MakingOffline RL | —Unverified | 0 |
| Homodyned K-distribution: parameter estimation and uncertainty quantification using Bayesian neural networks | Oct 31, 2022 | parameter estimationUncertainty Quantification | —Unverified | 0 |
| SIMPLE-RC: Group Network Inference with Non-Sharp Nulls and Weak Signals | Oct 31, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Evaluating Point-Prediction Uncertainties in Neural Networks for Drug Discovery | Oct 31, 2022 | Drug DiscoveryUncertainty Quantification | —Unverified | 0 |
| A view on model misspecification in uncertainty quantification | Oct 30, 2022 | modelUncertainty Quantification | —Unverified | 0 |
| SoftBart: Soft Bayesian Additive Regression Trees | Oct 28, 2022 | Bayesian Inferenceregression | —Unverified | 0 |
| Strategic Geosteeering Workflow with Uncertainty Quantification and Deep Learning: A Case Study on the Goliat Field | Oct 27, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Segmentation of Bruch's Membrane in retinal OCT with AMD using anatomical priors and uncertainty quantification | Oct 26, 2022 | PositionSegmentation | —Unverified | 0 |
| History-Based, Bayesian, Closure for Stochastic Parameterization: Application to Lorenz '96 | Oct 26, 2022 | Uncertainty Quantification | CodeCode Available | 0 |
| Stable Deep MRI Reconstruction using Generative Priors | Oct 25, 2022 | Decision MakingImage Reconstruction | —Unverified | 0 |
| Combined Data and Deep Learning Model Uncertainties: An Application to the Measurement of Solid Fuel Regression Rate | Oct 25, 2022 | regressionUncertainty Quantification | —Unverified | 0 |
| SleepMore: Inferring Sleep Duration at Scale via Multi-Device WiFi Sensing | Oct 24, 2022 | Uncertainty Quantification | —Unverified | 0 |
| On the optimization and pruning for Bayesian deep learning | Oct 24, 2022 | Deep LearningUncertainty Quantification | CodeCode Available | 0 |
| On double-descent in uncertainty quantification in overparametrized models | Oct 23, 2022 | Binary ClassificationUncertainty Quantification | CodeCode Available | 0 |
| Bayesian Optimization with Conformal Prediction Sets | Oct 22, 2022 | Active LearningBayesian Optimization | CodeCode Available | 1 |
| Bayesian deep learning framework for uncertainty quantification in high dimensions | Oct 21, 2022 | Bayesian InferenceDeep Learning | —Unverified | 0 |
| Bayesian Emulation for Computer Models with Multiple Partial Discontinuities | Oct 19, 2022 | Uncertainty Quantification | CodeCode Available | 0 |
| An out-of-distribution discriminator based on Bayesian neural network epistemic uncertainty | Oct 18, 2022 | Generative Adversarial NetworkOut of Distribution (OOD) Detection | —Unverified | 0 |
