| 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 |
| Uncertainty in Extreme Multi-label Classification | Oct 18, 2022 | ClassificationDecision Making | —Unverified | 0 |
| Packed-Ensembles for Efficient Uncertainty Estimation | Oct 17, 2022 | Classifier calibrationDiversity | —Unverified | 0 |
| Deep Learning Aided Laplace Based Bayesian Inference for Epidemiological Systems | Oct 17, 2022 | Bayesian InferenceDeep Learning | —Unverified | 0 |
| Conditional Neural Processes for Molecules | Oct 17, 2022 | Bayesian OptimizationBenchmarking | —Unverified | 0 |
| Posterior Regularized Bayesian Neural Network Incorporating Soft and Hard Knowledge Constraints | Oct 16, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification and Sensitivity analysis for Digital Twin Enabling Technology: Application for BISON Fuel Performance Code | Oct 14, 2022 | Decision MakingSensitivity | —Unverified | 0 |
| Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes | Oct 14, 2022 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Learning Multivariate CDFs and Copulas using Tensor Factorization | Oct 13, 2022 | ImputationUncertainty Quantification | —Unverified | 0 |
| Quantifying Uncertainty with Probabilistic Machine Learning Modeling in Wireless Sensing | Oct 12, 2022 | Uncertainty Quantification | —Unverified | 0 |
| JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks | Oct 12, 2022 | Active LearningGraph Mining | —Unverified | 0 |
| Uncertainty Quantification in Synthetic Controls with Staggered Treatment Adoption | Oct 10, 2022 | Prediction IntervalsUncertainty Quantification | —Unverified | 0 |
| Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing | Oct 10, 2022 | PredictionUncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis | Oct 10, 2022 | PredictionUncertainty Quantification | CodeCode Available | 1 |
| Sampling-based inference for large linear models, with application to linearised Laplace | Oct 10, 2022 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 |
| Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis | Oct 5, 2022 | Medical Image AnalysisUncertainty Quantification | —Unverified | 0 |
| TabLeak: Tabular Data Leakage in Federated Learning | Oct 4, 2022 | Federated LearningReconstruction Attack | CodeCode Available | 1 |
| Multi-fidelity Monte Carlo: a pseudo-marginal approach | Oct 4, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Efficient Bayes Inference in Neural Networks through Adaptive Importance Sampling | Oct 3, 2022 | Autonomous DrivingDecision Making | CodeCode Available | 0 |
| Meta-Learning Priors for Safe Bayesian Optimization | Oct 3, 2022 | Bayesian OptimizationMeta-Learning | —Unverified | 0 |
| Leveraging Industry 4.0 -- Deep Learning, Surrogate Model and Transfer Learning with Uncertainty Quantification Incorporated into Digital Twin for Nuclear System | Sep 30, 2022 | Decision MakingTransfer Learning | —Unverified | 0 |
| Causal Estimation for Text Data with (Apparent) Overlap Violations | Sep 30, 2022 | AttributeCausal Identification | —Unverified | 0 |
| Physically Meaningful Uncertainty Quantification in Probabilistic Wind Turbine Power Curve Models as a Damage Sensitive Feature | Sep 30, 2022 | Gaussian ProcessesStructural Health Monitoring | —Unverified | 0 |
| Φ-DVAE: Physics-Informed Dynamical Variational Autoencoders for Unstructured Data Assimilation | Sep 30, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Label Noise Robustness of Conformal Prediction | Sep 28, 2022 | Conformal PredictionPrediction | —Unverified | 0 |
| SGTM 2.0: Autonomously Untangling Long Cables using Interactive Perception | Sep 27, 2022 | Uncertainty Quantification | —Unverified | 0 |
