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Uncertainty Quantification

Papers

Showing 125 of 2366 papers

TitleStatusHype
UQLM: A Python Package for Uncertainty Quantification in Large Language ModelsCode5
Uncertainty Quantification for Language Models: A Suite of Black-Box, White-Box, LLM Judge, and Ensemble ScorersCode5
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
Vine Copulas as Differentiable Computational GraphsCode3
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
C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction SetsCode3
Reservoir History Matching of the Norne field with generative exotic priors and a coupled Mixture of Experts -- Physics Informed Neural Operator Forward ModelCode3
Does confidence calibration improve conformal prediction?Code3
Benchmarking LLMs via Uncertainty QuantificationCode3
MAPIE: an open-source library for distribution-free uncertainty quantificationCode3
Statistical Machine Learning for Astronomy -- A TextbookCode2
Neurosymbolic Diffusion ModelsCode2
GauSS-MI: Gaussian Splatting Shannon Mutual Information for Active 3D ReconstructionCode2
Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning ModelsCode2
Artificial Kuramoto Oscillatory NeuronsCode2
Positional Encoder Graph Quantile Neural Networks for Geographic DataCode2
Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMsCode2
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-PolygraphCode2
Physics-informed active learning for accelerating quantum chemical simulationsCode2
Model-free quantification of completeness, uncertainties, and outliers in atomistic machine learning using information theoryCode2
ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEsCode2
Scalable Spatiotemporal Prediction with Bayesian Neural FieldsCode2
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized TasksCode2
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