| Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems | May 3, 2023 | Bayesian OptimizationDecision Making | CodeCode Available | 1 |
| Bayesian Optimization of Risk Measures | Jul 10, 2020 | Bayesian OptimizationDecision Making | CodeCode Available | 1 |
| BayesianFitForecast: A User-Friendly R Toolbox for Parameter Estimation and Forecasting with Ordinary Differential Equations | Nov 8, 2024 | Bayesian InferenceDecision Making | CodeCode Available | 1 |
| Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments | Jan 30, 2022 | Autonomous VehiclesDecision Making | CodeCode Available | 1 |
| A Large-Scale Study of Probabilistic Calibration in Neural Network Regression | Jun 5, 2023 | AttributeConformal Prediction | CodeCode Available | 1 |
| Adaptive Stress Testing of Trajectory Predictions in Flight Management Systems | Nov 4, 2020 | Decision MakingManagement | CodeCode Available | 1 |
| Long-term drought prediction using deep neural networks based on geospatial weather data | Sep 12, 2023 | Decision Making | CodeCode Available | 1 |
| G-Transformer for Conditional Average Potential Outcome Estimation over Time | May 31, 2024 | Decision Making | CodeCode Available | 1 |
| Bayesian Optimization with Conformal Prediction Sets | Oct 22, 2022 | Active LearningBayesian Optimization | CodeCode Available | 1 |
| Benchmarking Data Science Agents | Feb 27, 2024 | BenchmarkingCode Generation | CodeCode Available | 1 |