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Uncertainty Quantification

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TitleStatusHype
Simple and Scalable Predictive Uncertainty Estimation using Deep EnsemblesVerified2
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
NeuralFoil: An Airfoil Aerodynamics Analysis Tool Using Physics-Informed Machine LearningCode3
Vine Copulas as Differentiable Computational GraphsCode3
Does confidence calibration improve conformal prediction?Code3
Reservoir History Matching of the Norne field with generative exotic priors and a coupled Mixture of Experts -- Physics Informed Neural Operator Forward ModelCode3
Benchmarking LLMs via Uncertainty QuantificationCode3
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
MAPIE: an open-source library for distribution-free uncertainty quantificationCode3
Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMsCode2
Conformal prediction under ambiguous ground truthCode2
pyPESTO: A modular and scalable tool for parameter estimation for dynamic modelsCode2
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty QuantificationCode2
ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEsCode2
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and DistributionCode2
Uncertainty Quantification in Scientific Machine Learning: Methods, Metrics, and ComparisonsCode2
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty QuantificationCode2
Scalable Spatiotemporal Prediction with Bayesian Neural FieldsCode2
Slideflow: Deep Learning for Digital Histopathology with Real-Time Whole-Slide VisualizationCode2
Uncertainty-Informed Deep Learning Models Enable High-Confidence Predictions for Digital HistopathologyCode2
Physics-informed active learning for accelerating quantum chemical simulationsCode2
Parametric and Multivariate Uncertainty Calibration for Regression and Object DetectionCode2
Positional Encoder Graph Quantile Neural Networks for Geographic DataCode2
Statistical Machine Learning for Astronomy -- A TextbookCode2
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
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
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-PolygraphCode2
Neurosymbolic Diffusion ModelsCode2
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized TasksCode2
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
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