uncertainty-quantification

Documents about uncertainty-quantification

• VIDS-Seg: Towards Reliable Uncertainty Quantification in Pediatric Cardiac Ultrasound Segmentation#444638arXiv CS
• Uncertainty quantification of fatigue initiation life for powder bed fusion metal additive manufacturing#925525arXiv (All)
• Voxeland: Probabilistic Instance-Aware Semantic Mapping with Evidence-based Uncertainty Quantification#974169arXiv (All)
• Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks#999638arXiv (All)
• Uncertainty quantification for uranium production in mining exploitation by In Situ Recovery#436248HAL (France)
• Uncertainty Quantification of Sparse Trip Demand Prediction with Spatial-Temporal Graph Neural Networks#445903MIT Open Scholarship
• Quantification and Decomposition of Uncertainty Using Sliced-Normal Distribution: With Applications to NASA Data#609297arXiv (OAI Expanded)
• AdaptNTK: Adaptive Uncertainty Quantification and Active Learning for Neural Network Potentials#819932arXiv (All)
• Improving Semantic Uncertainty Quantification in LVLMs with Semantic Gaussian Processes#987527arXiv (All)
• Physics-Informed Conformal Prediction: Embedding PDE Consistency into Distribution-Free Uncertainty Quantification for Neural Operators#999920arXiv (All)
• Uncertainty quantification in neural network-based glucose prediction for diabetes#1013518arXiv (All)
• Learning Surrogate LPV State-Space Models with Uncertainty Quantification#1035444arXiv (All)
• Joint parameter estimation and abrupt change quantification with uncertainty quantification in high degree of freedom dynamical systems via an optimized adaptive unscented Kalman filter.#430797NCBI PubMed Central
• A Unified Bayesian Framework for Accurate, Fair, and Uncertainty-Calibrated Healthcare Insurance Pricing#320933SWU eJournals System
• Amortized Variational Inference for Joint Posterior and Predictive Distributions in Bayesian Uncertainty Quantification#155310arXiv CS
• Uncertainty Quantification Framework for Aerial and UAV Photogrammetry through Error Propagation#183280arXiv (OAI)
• Neural network surrogates with uncertainty quantification for inverse problems in partial differential equations#290582arXiv CS
• Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification#343458arXiv CS
• Information-Based Calibration of Uncertainty Quantification in Product-of-Experts Gaussian Process Models#790129arXiv (OAI Expanded)
• Information-Based Calibration of Uncertainty Quantification in Product-of-Experts Gaussian Process Models#794148arXiv (All)
• PropUQ-MAS: Propagation-Aware Uncertainty Quantification for LLM Multi-Agent Systems#809464arXiv (OAI Expanded)
• PropUQ-MAS: Propagation-Aware Uncertainty Quantification for LLM Multi-Agent Systems#819460arXiv (All)
• Uncertainty Quantification for LLM Agents: A Taxonomy, an Evaluation Protocol, and an Empirical Study#984321arXiv (All)
• A Composite NARXNN Approach to Photovoltaic Power Forecasting With Integrated Weather Inputs and Uncertainty Quantification#355121ODU Digital Commons
• Neutrosophic deep learning framework for uncertainty-aware prediction in chemical process optimization#429196ARPHA OAI-PMH Endpoint
• A Model Uncertainty Quantification Protocol for Evaluating the Value of Observation Data#621702USGS Publications
• Federated Learning with Uncertainty-Based Client Clustering for Fleet-Wide Fault Diagnosis#211195Iowa State University Digital Repository
• Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models#177037arXiv (OAI)
• Understanding Software Defect Prediction: A Large-scale Empirical Study Across Uncertainty Quantification and Performance Evaluation#332601arXiv CS
• Trust Beyond Accuracy: Conformal Uncertainty Quantification Reveals the Generalization Gap in Polymer Glass Transition Temperature Prediction.#438969NCBI PubMed Central
• Synthesizability Prediction of Crystalline Structures with Structure-Aware Feature Learning and Uncertainty Quantification#974247arXiv (All)
• Variational Quantum Physics-Informed Neural Networks for Hydrological PDE-Constrained Learning with Inherent Uncertainty Quantification#5966arXiv CS
• Uncertainty Quantification for Machine Learning: One Size Does Not Fit All#219223Open Access LMU
• Uncertainty Quantification for EO Regression Tasks: Building Height, Tree Canopy Height and Above-ground Biomass Estimation#363311arXiv CS
• Uncertainty Quantification of Central Canal Stenosis Deep Learning Classifier from Lumbar Sagittal T2-Weighted MRI#394537bioRxiv / medRxiv
• Winter Precipitation Type Diagnosis and Uncertainty Quantification with a Physically Consistent Machine Learning Method#650704arXiv (OAI Expanded)
• Winter Precipitation Type Diagnosis and Uncertainty Quantification with a Physically Consistent Machine Learning Method#652157arXiv (All)
• A Robust Evaluation of Probe Robustness: Lessons for Reliable OOD Uncertainty Quantification#797433arXiv (OAI Expanded)
• A Robust Evaluation of Probe Robustness: Lessons for Reliable OOD Uncertainty Quantification#798847arXiv (All)
• A model of grain growth in UN integrating molecular dynamics, phase-field modeling, and uncertainty quantification#998549arXiv (All)
• Radiological mapping and uncertainty quantification by a fast Microcanonical Langevin Monte Carlo sampler#999736arXiv (All)
• EnKF and expectation‐maximization based parameter estimation of a convective gravity‐wave parameterization using Strateole 2 constant‐level balloon data#337493HAL (France)
• Supplementary material for "Uncertainty-quantified, physics-informed TinyML for reliable real-time solar PV diagnostics"#376967Aperta
• Improving Medical Diagnostics with Vision-Language Models: Convex Hull-Based Uncertainty Analysis#446498ODU Digital Commons
• Cross-Model Confidence in the MCL Framework: Calibrated Uncertainty for Selective Judgment#780693Figshare
• Riemannian geometry of matrix manifolds for Lagrangian uncertainty quantification of stochastic fluid flows#218639MIT Open Scholarship
• Uncertainty Quantification for Computer-Use Agents: A Benchmark across Vision-Language Models and GUI Grounding Datasets#307035arXiv CS
• Coupled differential and integral data analysis for improved uncertainty quantification of the ⁶³,⁶⁵Cu cross section evaluations#308602MIT Open Scholarship
• Vision transformer-based uncertainty quantification for triaging skin lesions: a probabilistic framework for automated biopsy recommendation.#368192NCBI PubMed Central
• Prediction, Optimization, and Uncertainty Quantification of Methylene Blue Removal by Biochar Adsorbents Using Ensemble Machine Learning.#465307NCBI PubMed Central