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Uncertainty Quantification

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Showing 701–750 of 2366 papers

TitleStatusHype
CUPS: Improving Human Pose-Shape Estimators with Conformalized Deep Uncertainty—0
Dual Random Fields and their Application to Mineral Potential Mapping—0
Label-Confidence-Aware Uncertainty Estimation in Natural Language Generation—0
Conformal Uncertainty Quantification of Electricity Price Predictions for Risk-Averse Storage Arbitrage—0
How Certain are Uncertainty Estimates? Three Novel Earth Observation Datasets for Benchmarking Uncertainty Quantification in Machine Learning—0
AI-powered Digital Twin of the Ocean: Reliable Uncertainty Quantification for Real-time Wave Height Prediction with Deep Ensemble—0
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions—0
Uncertainty Quantification for Transformer Models for Dark-Pattern Detection—0
DAWN-FM: Data-Aware and Noise-Informed Flow Matching for Solving Inverse Problems—0
Learning Hidden Physics and System Parameters with Deep Operator Networks—0
Uncertainty Quantification in Portfolio Temperature Alignment—0
Deep priors for satellite image restoration with accurate uncertainties—0
Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report GenerationCode0
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation—0
Risk-aware Classification via Uncertainty Quantification—0
Enhancing Trust in Large Language Models with Uncertainty-Aware Fine-Tuning—0
Uncertainty-Aware Artificial Intelligence for Gear Fault Diagnosis in Motor Drives—0
Spatial Conformal Inference through Localized Quantile Regression—0
Towards Clinical Practice in CT-Based Pulmonary Disease Screening: An Efficient and Reliable Framework—0
Identifying Reliable Predictions in Detection Transformers—0
Predictive Inference With Fast Feature Conformal PredictionCode0
AutoPQ: Automating Quantile estimation from Point forecasts in the context of sustainability—0
Per-event Uncertainty Quantification for Flow Cytometry using Calibration Beads—0
Distribution-Free Calibration of Statistical Confidence SetsCode0
Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty—0
Probabilistic size-and-shape functional mixed models—0
LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements—0
Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification—0
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation—0
Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries—0
Quantile deep learning models for multi-step ahead time series predictionCode0
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image ClassificationCode0
Uncertainty Quantification in Working Memory via Moment Neural NetworksCode0
Epinet for Content Cold Start—0
Hierarchical Spatio-Temporal Uncertainty Quantification for Distributed Energy Adoption—0
Multivariate and Online Transfer Learning with Uncertainty Quantification—0
Fine-Grained Uncertainty Quantification via Collisions—0
Theoretical Foundations of Conformal Prediction—0
Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach—0
Melanoma Detection with Uncertainty Quantification—0
Counterfactual Uncertainty Quantification of Factual Estimand of Efficacy from Before-and-After Treatment Repeated Measures Randomized Controlled Trials—0
Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems—0
Sparse Bayesian Generative Modeling for Compressive SensingCode0
DeepUQ: Assessing the Aleatoric Uncertainties from two Deep Learning MethodsCode0
MSEG-VCUQ: Multimodal SEGmentation with Enhanced Vision Foundation Models, Convolutional Neural Networks, and Uncertainty Quantification for High-Speed Video Phase Detection DataCode0
Evidential time-to-event prediction with calibrated uncertainty quantification—0
Machine learning-enabled velocity model building with uncertainty quantification—0
Data-Driven Gradient Optimization for Field Emission Management in a Superconducting Radio-Frequency Linac—0
UQ of 2D Slab Burner DNS: Surrogates, Uncertainty Propagation, and Parameter Calibration—0
Variance-Aware Linear UCB with Deep Representation for Neural Contextual BanditsCode0
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