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Uncertainty Quantification

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TitleStatusHype
Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage GuaranteesCode1
Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation—0
A Note on Uncertainty Quantification for Maximum Likelihood Parameters Estimated with Heuristic Based Optimization Algorithms—0
Uncertainty-aware multi-fidelity surrogate modeling with noisy data—0
Uncertainty quantification for probabilistic machine learning in earth observation using conformal predictionCode1
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks—0
Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point ProcessesCode0
Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification—0
Uncertainty Quantification on Clinical Trial Outcome PredictionCode1
Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective—0
Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction—0
Epistemic Uncertainty Quantification For Pre-Trained Neural Networks—0
Bayesian Exploration of Pre-trained Models for Low-shot Image Classification—0
Second-Order Uncertainty Quantification: Variance-Based Measures—0
DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling—0
Uncertainty-Penalized Reinforcement Learning from Human Feedback with Diverse Reward LoRA Ensembles—0
Uncertainty Quantification in Machine Learning for Joint Speaker Diarization and Identification—0
Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction—0
Efficient Conformal Prediction under Data Heterogeneity—0
PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentationCode0
Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological imagesCode0
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models—0
Bridging AI and Clinical Practice: Integrating Automated Sleep Scoring Algorithm with Uncertainty-Guided Physician Review—0
Density Uncertainty Quantification with NeRF-Ensembles: Impact of Data and Scene Constraints—0
Beyond mirkwood: Enhancing SED Modeling with Conformal Predictions—0
Partially factorized variational inference for high-dimensional mixed modelsCode1
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks—0
IntraSeismic: a coordinate-based learning approach to seismic inversion—0
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear ModelCode0
Symplectic Autoencoders for Model Reduction of Hamiltonian SystemsCode1
Verification of Neural Reachable Tubes via Scenario Optimization and Conformal Prediction—0
How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning—0
Identifying Drivers of Predictive Aleatoric UncertaintyCode0
Uncertainty Visualization via Low-Dimensional Posterior ProjectionsCode0
The AIRI plug-and-play algorithm for image reconstruction in radio-interferometry: variations and robustness—0
Empirical Validation of Conformal Prediction for Trustworthy Skin Lesions Classification—0
Randomized Physics-Informed Machine Learning for Uncertainty Quantification in High-Dimensional Inverse Problems—0
Implementing hosting capacity analysis in distribution networks: Practical considerations, advancements and future directions—0
Uncertainty quantification in automated valuation models with spatially weighted conformal predictionCode0
Data-Driven Robust Covariance Control for Uncertain Linear Systems—0
Rational Kriging—0
Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic ModelsCode1
Uncertainty Quantification and Propagation in Surrogate-based Bayesian InferenceCode1
Thermodynamic Computing System for AI Applications—0
A Study on the Calibration of In-context LearningCode0
Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep StagingCode0
Neural parameter calibration and uncertainty quantification for epidemic forecastingCode1
Instant Uncertainty Calibration of NeRFs Using a Meta-CalibratorCode0
Learning-Based Approaches to Predictive Monitoring with Conformal Statistical Guarantees—0
Second-Order Uncertainty Quantification: A Distance-Based Approach—0
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