| EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy | Nov 10, 2023 | Uncertainty Quantification | CodeCode Available | 2 |
| Fortuna: A Library for Uncertainty Quantification in Deep Learning | Feb 8, 2023 | Bayesian InferenceBenchmarking | CodeCode Available | 2 |
| Artificial Kuramoto Oscillatory Neurons | Oct 17, 2024 | Adversarial RobustnessObject Discovery | CodeCode Available | 2 |
| Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning Models | Oct 28, 2024 | Computational EfficiencyFeature Importance | CodeCode Available | 2 |
| NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operators | Aug 25, 2022 | Uncertainty Quantification | CodeCode Available | 2 |
| Neurosymbolic Diffusion Models | May 19, 2025 | Autonomous DrivingUncertainty Quantification | CodeCode Available | 2 |
| GauSS-MI: Gaussian Splatting Shannon Mutual Information for Active 3D Reconstruction | Apr 29, 2025 | 3DGS3D Reconstruction | CodeCode Available | 2 |
| Positional Encoder Graph Quantile Neural Networks for Geographic Data | Sep 27, 2024 | Density EstimationUncertainty Quantification | CodeCode Available | 2 |
| Conformal prediction under ambiguous ground truth | Jul 18, 2023 | Conformal PredictionPrediction | CodeCode Available | 2 |
| Distribution-Free, Risk-Controlling Prediction Sets | Jan 7, 2021 | BIG-bench Machine LearningClassification | CodeCode Available | 2 |
