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Uncertainty Quantification

Papers

Showing 76100 of 2366 papers

TitleStatusHype
Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image ClassificationCode1
Gradient-free variational learning with conditional mixture networksCode1
DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-RaysCode1
Uncertainty Quantification of Surrogate Models using Conformal PredictionCode1
Deep Generative Classification of Blood Cell MorphologyCode1
Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural OperatorsCode1
Superior Scoring Rules for Probabilistic Evaluation of Single-Label Multi-Class Classification TasksCode1
FastSAM-3DSlicer: A 3D-Slicer Extension for 3D Volumetric Segment Anything Model with Uncertainty QuantificationCode1
Randomized Physics-Informed Neural Networks for Bayesian Data AssimilationCode1
A Rate-Distortion View of Uncertainty QuantificationCode1
LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal DataCode1
A Bayesian Approach to Online PlanningCode1
VENI, VINDy, VICI: a variational reduced-order modeling framework with uncertainty quantificationCode1
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic SimilaritiesCode1
Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic SpaceCode1
Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement LearningCode1
Deep Generative Data Assimilation in Multimodal SettingCode1
Kermut: Composite kernel regression for protein variant effectsCode1
Universal Functional Regression with Neural Operator FlowsCode1
LUQ: Long-text Uncertainty Quantification for LLMsCode1
Enabling Uncertainty Estimation in Iterative Neural NetworksCode1
Uncertainty quantification for data-driven weather modelsCode1
Conformal prediction for multi-dimensional time series by ellipsoidal setsCode1
Uncertainty-Aware Evaluation for Vision-Language ModelsCode1
Uncertainty Quantification for In-Context Learning of Large Language ModelsCode1
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