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Uncertainty Quantification

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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
FisherRF: Active View Selection and Uncertainty Quantification for Radiance Fields using Fisher InformationCode2
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road AutonomyCode2
Conformal prediction under ambiguous ground truthCode2
pyPESTO: A modular and scalable tool for parameter estimation for dynamic modelsCode2
Slideflow: Deep Learning for Digital Histopathology with Real-Time Whole-Slide VisualizationCode2
Fortuna: A Library for Uncertainty Quantification in Deep LearningCode2
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and DistributionCode2
GAUCHE: A Library for Gaussian Processes in ChemistryCode2
NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operatorsCode2
Parametric and Multivariate Uncertainty Calibration for Regression and Object DetectionCode2
Uncertainty-Informed Deep Learning Models Enable High-Confidence Predictions for Digital HistopathologyCode2
Uncertainty Quantification in Scientific Machine Learning: Methods, Metrics, and ComparisonsCode2
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty QuantificationCode2
Distribution-Free, Risk-Controlling Prediction SetsCode2
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty QuantificationCode2
Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty QuantificationCode1
Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language ModelsCode1
LaDCast: A Latent Diffusion Model for Medium-Range Ensemble Weather ForecastingCode1
JaxSGMC: Modular stochastic gradient MCMC in JAXCode1
A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM OutputsCode1
HiBayES: A Hierarchical Bayesian Modeling Framework for AI Evaluation StatisticsCode1
UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything ModelCode1
POINT^2: A Polymer Informatics Training and Testing DatabaseCode1
Language Model Uncertainty Quantification with Attention ChainCode1
Survival Analysis with Machine Learning for Predicting Li-ion Battery Remaining Useful LifeCode1
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