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Uncertainty Quantification

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Showing 1101–1150 of 2366 papers

TitleStatusHype
Traffic State Estimation and Uncertainty Quantification at Signalized Intersections with Low Penetration Rate Vehicle Trajectory Data—0
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models—0
Conformal Prediction for Stochastic Decision-Making of PV Power in Electricity Markets—0
On Uncertainty Quantification for Near-Bayes Optimal AlgorithmsCode0
Screening for Diabetes Mellitus in the U.S. Population Using Neural Network Models and Complex Survey Designs—0
Segmentation Re-thinking Uncertainty Estimation Metrics for Semantic Segmentation—0
Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free PredictionCode0
R2D2 image reconstruction with model uncertainty quantification in radio astronomy—0
Hierarchical Light Transformer Ensembles for Multimodal Trajectory ForecastingCode0
Bridging the Sim-to-Real Gap with Bayesian Inference—0
Real-time Adaptation for Condition Monitoring Signal Prediction using Label-aware Neural Processes—0
Uncertainty Quantification for Gradient-based Explanations in Neural Networks—0
An Analytic Solution to Covariance Propagation in Neural NetworksCode0
Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models—0
Conformal online model aggregationCode0
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detectionCode0
Bayesian Physics-informed Neural Networks for System Identification of Inverter-dominated Power Systems—0
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offsCode0
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge—0
Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix ItCode0
Fast Value Tracking for Deep Reinforcement Learning—0
Posterior Uncertainty Quantification in Neural Networks using Data AugmentationCode0
Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy SegmentationCode0
Pessimistic Causal Reinforcement Learning with Mediators for Confounded Offline Data—0
Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects—0
Function-space Parameterization of Neural Networks for Sequential LearningCode0
Fast and reliable uncertainty quantification with neural network ensembles for industrial image classification—0
Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEsCode0
Variation Due to Regularization Tractably Recovers Bayesian Deep Learning—0
Uncertainty Quantification for cross-subject Motor Imagery classificationCode0
On the Convergence of Locally Adaptive and Scalable Diffusion-Based Sampling Methods for Deep Bayesian Neural Network PosteriorsCode0
A Framework for Strategic Discovery of Credible Neural Network Surrogate Models under Uncertainty—0
Discovering High-Strength Alloys via Physics-Transfer Learning—0
Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation—0
Towards a Framework for Deep Learning Certification in Safety-Critical Applications Using Inherently Safe Design and Run-Time Error Detection—0
Koopman Ensembles for Probabilistic Time Series ForecastingCode0
Model-Free Local Recalibration of Neural Networks—0
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification—0
End-to-end Conditional Robust Optimization—0
Confidence on the Focal: Conformal Prediction with Selection-Conditional CoverageCode0
Uncertainty quantification for deeponets with ensemble kalman inversion—0
ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing—0
Scalable Bayesian inference for the generalized linear mixed model—0
Structured methods for parameter inference and uncertainty quantification for mechanistic models in the life sciencesCode0
SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models—0
Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming—0
On Fractional Moment Estimation from Polynomial Chaos Expansion—0
Statistical Mechanics of Dynamical System Identification—0
Extracting Usable Predictions from Quantized Networks through Uncertainty Quantification for OOD DetectionCode0
Validation of ML-UQ calibration statistics using simulated reference values: a sensitivity analysisCode0
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