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Uncertainty Quantification

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Showing 1126–1150 of 2366 papers

TitleStatusHype
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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