| 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 |
