| Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition | Jan 30, 2025 | Active LearningDisentanglement | CodeCode Available | 0 |
| MSEG-VCUQ: Multimodal SEGmentation with Enhanced Vision Foundation Models, Convolutional Neural Networks, and Uncertainty Quantification for High-Speed Video Phase Detection Data | Nov 12, 2024 | SegmentationUncertainty Quantification | CodeCode Available | 0 |
| Decision-Focused Uncertainty Quantification | Oct 2, 2024 | Conformal PredictionDecision Making | CodeCode Available | 0 |
| MUBen: Benchmarking the Uncertainty of Molecular Representation Models | Jun 14, 2023 | BenchmarkingDrug Discovery | CodeCode Available | 0 |
| Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised Learning | May 15, 2024 | regressionUncertainty Quantification | CodeCode Available | 0 |
| Regression-based Melody Estimation with Uncertainty Quantification | May 8, 2025 | regressionUncertainty Quantification | CodeCode Available | 0 |
| Regression Conformal Prediction under Bias | Oct 7, 2024 | Computed Tomography (CT)Conformal Prediction | CodeCode Available | 0 |
| Adversarial confound regression and uncertainty measurements to classify heterogeneous clinical MRI in Mass General Brigham | May 5, 2022 | Deep LearningDiagnostic | CodeCode Available | 0 |
| Adversarial Uncertainty Quantification in Physics-Informed Neural Networks | Nov 9, 2018 | Uncertainty Quantification | CodeCode Available | 0 |
| Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach | May 31, 2024 | Decision MakingGaussian Processes | CodeCode Available | 0 |
| Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation | Nov 15, 2023 | Lesion SegmentationMedical Image Analysis | CodeCode Available | 0 |
| Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise | Jun 5, 2024 | PredictionPrediction Intervals | CodeCode Available | 0 |
| Bayesian Evidential Deep Learning with PAC Regularization | Jun 3, 2019 | Deep LearningUncertainty Quantification | CodeCode Available | 0 |
| A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification | Jan 13, 2020 | Seismic ImagingUncertainty Quantification | CodeCode Available | 0 |
| Reliable deep-learning-based phase imaging with uncertainty quantification | Jan 7, 2019 | Deep LearningUncertainty Quantification | CodeCode Available | 0 |
| Structured methods for parameter inference and uncertainty quantification for mechanistic models in the life sciences | Mar 4, 2024 | CaricatureUncertainty Quantification | CodeCode Available | 0 |
| Structured Variational Inference in Continuous Cox Process Models | Jun 7, 2019 | Numerical IntegrationUncertainty Quantification | CodeCode Available | 0 |
| Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal prediction | Mar 18, 2025 | Conformal PredictionPrediction | CodeCode Available | 0 |
| Multi-Head Multi-Loss Model Calibration | Mar 2, 2023 | image-classificationImage Classification | CodeCode Available | 0 |
| Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks | Mar 7, 2023 | PredictionUncertainty Quantification | CodeCode Available | 0 |
| A probabilistic generative model for semi-supervised training of coarse-grained surrogates and enforcing physical constraints through virtual observables | Jun 2, 2020 | Uncertainty Quantification | CodeCode Available | 0 |
| Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy | Jul 11, 2024 | PredictionPrediction Intervals | CodeCode Available | 0 |
| Uncertainty-aware Traffic Prediction under Missing Data | Sep 13, 2023 | Decision MakingGraph Neural Network | CodeCode Available | 0 |
| Quantifying Representation Reliability in Self-Supervised Learning Models | May 31, 2023 | Self-Supervised LearningUncertainty Quantification | CodeCode Available | 0 |
| De-biasing "bias" measurement | May 11, 2022 | Decision MakingFairness | CodeCode Available | 0 |
| Representing and extending ensembles of parsimonious evolutionary histories with a directed acyclic graph | Oct 11, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| Multi-model Ensemble Conformal Prediction in Dynamic Environments | Nov 6, 2024 | Conformal Predictionmodel | CodeCode Available | 0 |
| Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite Data | Apr 12, 2024 | Decision MakingEarth Observation | CodeCode Available | 0 |
| Subsurface Characterization using Ensemble-based Approaches with Deep Generative Models | Oct 2, 2023 | Dimensionality ReductionGenerative Adversarial Network | CodeCode Available | 0 |
| Calibrated Computation-Aware Gaussian Processes | Oct 11, 2024 | Gaussian Processesregression | CodeCode Available | 0 |
| Bayesian Continual Learning via Spiking Neural Networks | Aug 29, 2022 | Continual LearningManagement | CodeCode Available | 0 |
| Multi-Source Conformal Inference Under Distribution Shift | May 15, 2024 | Decision MakingLength-of-Stay prediction | CodeCode Available | 0 |
| Supervised Kernel Thinning | Oct 17, 2024 | Computational Efficiencyregression | CodeCode Available | 0 |
| Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries | Mar 4, 2023 | DiversityRepresentation Learning | CodeCode Available | 0 |
| Supervised Uncertainty Quantification for Segmentation with Multiple Annotations | Jul 3, 2019 | DiversitySegmentation | CodeCode Available | 0 |
| A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks | Feb 28, 2024 | Uncertainty Quantification | CodeCode Available | 0 |
| Revisiting Bayesian Autoencoders with MCMC | Apr 13, 2021 | Bayesian InferenceDeep Learning | CodeCode Available | 0 |
| Debiased Bayesian inference for average treatment effects | Sep 26, 2019 | Bayesian InferenceCausal Inference | CodeCode Available | 0 |
| Surrogate-assisted Bayesian inversion for landscape and basin evolution models | Dec 12, 2018 | Bayesian InferenceComputational Efficiency | CodeCode Available | 0 |
| Building Conformal Prediction Intervals with Approximate Message Passing | Oct 21, 2024 | BenchmarkingConformal Prediction | CodeCode Available | 0 |
| Surrogate-assisted parallel tempering for Bayesian neural learning | Nov 21, 2018 | Bayesian InferenceDecision Making | CodeCode Available | 0 |
| Bayesian Concept Bottleneck Models with LLM Priors | Oct 21, 2024 | Image Classificationtabular-classification | CodeCode Available | 0 |
| SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival Analysis | May 20, 2025 | BenchmarkingModel Optimization | CodeCode Available | 0 |
| Rigid Transformations for Stabilized Lower Dimensional Space to Support Subsurface Uncertainty Quantification and Interpretation | Aug 16, 2023 | Dimensionality ReductionUncertainty Quantification | CodeCode Available | 0 |
| SweiNet: Deep Learning Based Uncertainty Quantification for Ultrasound Shear Wave Elasticity Imaging | Mar 21, 2022 | Decision MakingUncertainty Quantification | CodeCode Available | 0 |
| Bayesian computation with generative diffusion models by Multilevel Monte Carlo | Sep 23, 2024 | Uncertainty Quantification | CodeCode Available | 0 |
| Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation | Jun 19, 2024 | RerankingRetrieval | CodeCode Available | 0 |
| Nearest Neighbor Dirichlet Mixtures | Mar 17, 2020 | Density EstimationUncertainty Quantification | CodeCode Available | 0 |
| Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure | Nov 22, 2019 | Bayesian InferenceNeural Architecture Search | CodeCode Available | 0 |
| Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications | Sep 14, 2022 | Active LearningManagement | CodeCode Available | 0 |