| Zadeh's Type-2 Fuzzy Logic Systems: Precision and High-Quality Prediction Intervals | Apr 19, 2024 | Prediction IntervalsUncertainty Quantification | —Unverified | 0 |
| Enhancing Interval Type-2 Fuzzy Logic Systems: Learning for Precision and Prediction Intervals | Apr 19, 2024 | Prediction IntervalsUncertainty Quantification | —Unverified | 0 |
| QUTE: Quantifying Uncertainty in TinyML with Early-exit-assisted ensembles for model-monitoring | Apr 19, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Generalizing Machine Learning Evaluation through the Integration of Shannon Entropy and Rough Set Theory | Apr 18, 2024 | Decision MakingModel Selection | —Unverified | 0 |
| Adaptive Catalyst Discovery Using Multicriteria Bayesian Optimization with Representation Learning | Apr 18, 2024 | Bayesian OptimizationRepresentation Learning | CodeCode Available | 0 |
| Model-free quantification of completeness, uncertainties, and outliers in atomistic machine learning using information theory | Apr 18, 2024 | Active LearningUncertainty Quantification | CodeCode Available | 2 |
| Physics-informed active learning for accelerating quantum chemical simulations | Apr 18, 2024 | Active LearningUncertainty Quantification | CodeCode Available | 2 |
| Analytical results for uncertainty propagation through trained machine learning regression models | Apr 17, 2024 | Computational EfficiencyGaussian Processes | —Unverified | 0 |
| Data-driven modeling and prediction of microglial cell dynamics in the ischemic penumbra | Apr 16, 2024 | Uncertainty Quantification | —Unverified | 0 |
| A variational neural Bayes framework for inference on intractable posterior distributions | Apr 16, 2024 | Uncertainty Quantification | CodeCode Available | 0 |
| Accelerating Ensemble Error Bar Prediction with Single Models Fits | Apr 15, 2024 | Data AugmentationPrediction | —Unverified | 0 |
| ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs | Apr 15, 2024 | Uncertainty QuantificationWeather Forecasting | CodeCode Available | 2 |
| Epistemic Uncertainty Quantification For Pre-trained Neural Network | Apr 15, 2024 | Active LearningOut-of-Distribution Detection | —Unverified | 0 |
| Uncertainty Quantification in Detecting Choroidal Metastases on MRI via Evolutionary Strategies | Apr 12, 2024 | Binary ClassificationUncertainty Quantification | —Unverified | 0 |
| Leveraging viscous Hamilton-Jacobi PDEs for uncertainty quantification in scientific machine learning | Apr 12, 2024 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 |
| Combining Statistical Depth and Fermat Distance for Uncertainty Quantification | Apr 12, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite Data | Apr 12, 2024 | Decision MakingEarth Observation | CodeCode Available | 0 |
| On the Independence Assumption in Neurosymbolic Learning | Apr 12, 2024 | Uncertainty Quantificationvalid | —Unverified | 0 |
| Inferring Change Points in High-Dimensional Regression via Approximate Message Passing | Apr 11, 2024 | regressionUncertainty Quantification | —Unverified | 0 |
| Deep Generative Data Assimilation in Multimodal Setting | Apr 10, 2024 | Image GenerationUncertainty Quantification | CodeCode Available | 1 |
| Kermut: Composite kernel regression for protein variant effects | Apr 9, 2024 | PredictionProperty Prediction | CodeCode Available | 1 |
| Diverse Randomized Value Functions: A Provably Pessimistic Approach for Offline Reinforcement Learning | Apr 9, 2024 | DiversityReinforcement Learning (RL) | —Unverified | 0 |
| Learning smooth functions in high dimensions: from sparse polynomials to deep neural networks | Apr 4, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Towards detecting unanticipated bias in Large Language Models | Apr 3, 2024 | Decision MakingFairness | —Unverified | 0 |
| Universal Functional Regression with Neural Operator Flows | Apr 3, 2024 | Gaussian Processesregression | CodeCode Available | 1 |
