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Uncertainty Quantification

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TitleStatusHype
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
Uncertainty Quantification for Language Models: A Suite of Black-Box, White-Box, LLM Judge, and Ensemble ScorersCode5
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and GraphsCode4
Vine Copulas as Differentiable Computational GraphsCode3
Learning and discovering multiple solutions using physics-informed neural networks with random initialization and deep ensembleCode3
NeuralFoil: An Airfoil Aerodynamics Analysis Tool Using Physics-Informed Machine LearningCode3
Benchmarking LLMs via Uncertainty QuantificationCode3
C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction SetsCode3
Does confidence calibration improve conformal prediction?Code3
MAPIE: an open-source library for distribution-free 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
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty QuantificationCode2
Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMsCode2
Physics-informed active learning for accelerating quantum chemical simulationsCode2
ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEsCode2
Uncertainty-Informed Deep Learning Models Enable High-Confidence Predictions for Digital HistopathologyCode2
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty QuantificationCode2
Scalable Spatiotemporal Prediction with Bayesian Neural FieldsCode2
Statistical Machine Learning for Astronomy -- A TextbookCode2
Positional Encoder Graph Quantile Neural Networks for Geographic DataCode2
Slideflow: Deep Learning for Digital Histopathology with Real-Time Whole-Slide VisualizationCode2
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized TasksCode2
Uncertainty Quantification in Scientific Machine Learning: Methods, Metrics, and ComparisonsCode2
Parametric and Multivariate Uncertainty Calibration for Regression and Object DetectionCode2
pyPESTO: A modular and scalable tool for parameter estimation for dynamic modelsCode2
Conformal prediction under ambiguous ground truthCode2
Model-free quantification of completeness, uncertainties, and outliers in atomistic machine learning using information theoryCode2
NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operatorsCode2
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-PolygraphCode2
Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning ModelsCode2
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road AutonomyCode2
FisherRF: Active View Selection and Uncertainty Quantification for Radiance Fields using Fisher InformationCode2
Distribution-Free, Risk-Controlling Prediction SetsCode2
GAUCHE: A Library for Gaussian Processes in ChemistryCode2
GauSS-MI: Gaussian Splatting Shannon Mutual Information for Active 3D ReconstructionCode2
Artificial Kuramoto Oscillatory NeuronsCode2
Fortuna: A Library for Uncertainty Quantification in Deep LearningCode2
Neurosymbolic Diffusion ModelsCode2
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and DistributionCode2
Conformal prediction for multi-dimensional time series by ellipsoidal setsCode1
Conformal PID Control for Time Series PredictionCode1
Conformal prediction set for time-seriesCode1
Conformal Inference of Counterfactuals and Individual Treatment EffectsCode1
Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage GuaranteesCode1
Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment EffectsCode1
COMBO: Conservative Offline Model-Based Policy OptimizationCode1
ComBiNet: Compact Convolutional Bayesian Neural Network for Image SegmentationCode1
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty QuantificationCode1
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning PoliciesCode1
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