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Uncertainty Quantification

Papers

Showing 125 of 2366 papers

TitleStatusHype
Simple and Scalable Predictive Uncertainty Estimation using Deep EnsemblesVerified2
Uncertainty Quantification for Language Models: A Suite of Black-Box, White-Box, LLM Judge, and Ensemble ScorersCode5
UQLM: A Python Package for Uncertainty Quantification in Large Language ModelsCode5
Conditional Generative Models for Contrast-Enhanced Synthesis of T1w and T1 Maps in Brain MRICode5
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and GraphsCode4
NeuralFoil: An Airfoil Aerodynamics Analysis Tool Using Physics-Informed Machine LearningCode3
Learning and discovering multiple solutions using physics-informed neural networks with random initialization and deep ensembleCode3
Does confidence calibration improve conformal prediction?Code3
Vine Copulas as Differentiable Computational GraphsCode3
MAPIE: an open-source library for distribution-free uncertainty quantificationCode3
C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction SetsCode3
Benchmarking LLMs via Uncertainty QuantificationCode3
Reservoir History Matching of the Norne field with generative exotic priors and a coupled Mixture of Experts -- Physics Informed Neural Operator Forward ModelCode3
NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operatorsCode2
Neurosymbolic Diffusion ModelsCode2
GAUCHE: A Library for Gaussian Processes in ChemistryCode2
Model-free quantification of completeness, uncertainties, and outliers in atomistic machine learning using information theoryCode2
Parametric and Multivariate Uncertainty Calibration for Regression and Object DetectionCode2
Artificial Kuramoto Oscillatory NeuronsCode2
Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning ModelsCode2
Distribution-Free, Risk-Controlling Prediction SetsCode2
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road AutonomyCode2
Conformal prediction under ambiguous ground truthCode2
GauSS-MI: Gaussian Splatting Shannon Mutual Information for Active 3D ReconstructionCode2
FisherRF: Active View Selection and Uncertainty Quantification for Radiance Fields using Fisher InformationCode2
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