| Rule-based Bayesian regression | Aug 2, 2020 | Bayesian Inferenceregression | CodeCode Available | 0 |
| Rule-based Evolutionary Bayesian Learning | Feb 28, 2022 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 |
| E-Values Expand the Scope of Conformal Prediction | Mar 17, 2025 | Conformal PredictionPrediction | CodeCode Available | 0 |
| Uncertainty quantification in automated valuation models with spatially weighted conformal prediction | Dec 11, 2023 | Conformal PredictionUncertainty Quantification | CodeCode Available | 0 |
| Evaluating Uncertainty in Deep Gaussian Processes | Apr 24, 2025 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 |
| FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection | Nov 1, 2024 | ClassificationContrastive Learning | CodeCode Available | 0 |
| Fixing Overconfidence in Dynamic Neural Networks | Feb 13, 2023 | Decision MakingDeep Learning | CodeCode Available | 0 |
| Flat Posterior Does Matter For Bayesian Model Averaging | Jun 21, 2024 | modelTransfer Learning | CodeCode Available | 0 |
| Flexible Amortized Variational Inference in qBOLD MRI | Mar 11, 2022 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 |
| Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data | Sep 29, 2021 | feature selectionUncertainty Quantification | CodeCode Available | 0 |
| Flexible Heteroscedastic Count Regression with Deep Double Poisson Networks | Jun 13, 2024 | Crowd CountingOut-of-Distribution Detection | CodeCode Available | 0 |
| A parametric framework for kernel-based dynamic mode decomposition using deep learning | Sep 25, 2024 | Computational EfficiencyDimensionality Reduction | CodeCode Available | 0 |
| Forecasting Local Ionospheric Parameters Using Transformers | Feb 20, 2025 | Uncertainty Quantification | CodeCode Available | 0 |
| CUQ-GNN: Committee-based Graph Uncertainty Quantification using Posterior Networks | Sep 6, 2024 | Node ClassificationUncertainty Quantification | CodeCode Available | 0 |
| NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-based MRI Reconstruction from Undersampled Data | Aug 8, 2022 | Decision MakingImage Reconstruction | CodeCode Available | 0 |
| NP-ODE: Neural Process Aided Ordinary Differential Equations for Uncertainty Quantification of Finite Element Analysis | Dec 12, 2020 | Uncertainty Quantification | CodeCode Available | 0 |
| Evaluating Bayesian Deep Learning Methods for Semantic Segmentation | Nov 30, 2018 | Anomaly DetectionAutonomous Driving | CodeCode Available | 0 |
| CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMs | Jun 5, 2024 | ClusteringNatural Language Inference | CodeCode Available | 0 |
| NRSeg: Noise-Resilient Learning for BEV Semantic Segmentation via Driving World Models | Jul 5, 2025 | Autonomous DrivingBEV Segmentation | CodeCode Available | 0 |
| Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions | Jun 20, 2020 | Decision MakingSequential Decision Making | CodeCode Available | 0 |
| Testing Hypotheses of Covariate Effects on Topics of Discourse | Jun 5, 2025 | parameter estimationUncertainty Quantification | CodeCode Available | 0 |
| Cryo-forum: A framework for orientation recovery with uncertainty measure with the application in cryo-EM image analysis | Jul 19, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage | May 9, 2021 | Decision MakingManagement | CodeCode Available | 0 |
| Estimation of spatio-temporal extremes via generative neural networks | Jul 11, 2024 | parameter estimationUncertainty Quantification | CodeCode Available | 0 |
| Counterfactual Plans under Distributional Ambiguity | Jan 29, 2022 | counterfactualUncertainty Quantification | CodeCode Available | 0 |
