| Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents | Feb 4, 2025 | Conformal PredictionDecision Making | —Unverified | 0 |
| Optimal Subspace Inference for the Laplace Approximation of Bayesian Neural Networks | Feb 4, 2025 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 |
| Robust and Conjugate Spatio-Temporal Gaussian Processes | Feb 4, 2025 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 0 |
| Uncertainty Quantification for Collaborative Object Detection Under Adversarial Attacks | Feb 4, 2025 | Adversarial RobustnessAutonomous Driving | —Unverified | 0 |
| From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE Control | Feb 4, 2025 | Conformal PredictionUncertainty Quantification | CodeCode Available | 1 |
| Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis | Feb 4, 2025 | Binary ClassificationUncertainty Quantification | —Unverified | 0 |
| Gaussian processes for dynamics learning in model predictive control | Feb 4, 2025 | Gaussian ProcessesModel Predictive Control | —Unverified | 0 |
| Deep Active Learning based Experimental Design to Uncover Synergistic Genetic Interactions for Host Targeted Therapeutics | Feb 3, 2025 | Active LearningExperimental Design | —Unverified | 0 |
| A generative foundation model for an all-in-one seismic processing framework | Feb 3, 2025 | AllComputational Efficiency | —Unverified | 0 |
| UASTHN: Uncertainty-Aware Deep Homography Estimation for UAV Satellite-Thermal Geo-localization | Feb 3, 2025 | geo-localizationHomography Estimation | CodeCode Available | 1 |
| Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework | Feb 2, 2025 | Federated LearningUncertainty Quantification | —Unverified | 0 |
| Error-quantified Conformal Inference for Time Series | Feb 2, 2025 | PredictionTime Series | CodeCode Available | 1 |
| Muti-Fidelity Prediction and Uncertainty Quantification with Laplace Neural Operators for Parametric Partial Differential Equations | Feb 1, 2025 | Uncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification of Wind Gust Predictions in the Northeast US: An Evidential Neural Network and Explainable Artificial Intelligence Approach | Feb 1, 2025 | Explainable artificial intelligenceExplainable Artificial Intelligence (XAI) | —Unverified | 0 |
| Position: Curvature Matrices Should Be Democratized via Linear Operators | Jan 31, 2025 | PositionUncertainty Quantification | —Unverified | 0 |
| Redefining Machine Unlearning: A Conformal Prediction-Motivated Approach | Jan 31, 2025 | Adversarial AttackConformal Prediction | —Unverified | 0 |
| Trustworthy Evaluation of Generative AI Models | Jan 31, 2025 | Uncertainty Quantificationvalid | —Unverified | 0 |
| Probabilistic Joint Recovery Method for CO_2 Plume Monitoring | Jan 30, 2025 | Seismic ImagingUncertainty Quantification | —Unverified | 0 |
| BARNN: A Bayesian Autoregressive and Recurrent Neural Network | Jan 30, 2025 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition | Jan 30, 2025 | Active LearningDisentanglement | CodeCode Available | 0 |
| PDE-DKL: PDE-constrained deep kernel learning in high dimensionality | Jan 30, 2025 | Computational EfficiencyGaussian Processes | CodeCode Available | 0 |
| Robust Online Conformal Prediction under Uniform Label Noise | Jan 30, 2025 | Conformal PredictionPrediction | —Unverified | 0 |
| Noise-Adaptive Conformal Classification with Marginal Coverage | Jan 29, 2025 | ClassificationUncertainty Quantification | CodeCode Available | 0 |
| Trustworthy image-to-image translation: evaluating uncertainty calibration in unpaired training scenarios | Jan 29, 2025 | Data AugmentationDiagnostic | —Unverified | 0 |
| Uncertainty Quantification and Decomposition for LLM-based Recommendation | Jan 29, 2025 | Uncertainty Quantification | CodeCode Available | 0 |