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Uncertainty Quantification

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Showing 651–675 of 2366 papers

TitleStatusHype
Can Bayesian Neural Networks Make Confident Predictions?—0
Are generative models fair? A study of racial bias in dermatological image generation—0
Enhancing Diagnostic in 3D COVID-19 Pneumonia CT-scans through Explainable Uncertainty Bayesian Quantification—0
Deep Operator Networks for Bayesian Parameter Estimation in PDEs—0
Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning—0
A recursive Bayesian neural network for constitutive modeling of sands under monotonic loading—0
Scalable Bayesian Physics-Informed Kolmogorov-Arnold Networks—0
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation—0
Testing Human-Hand Segmentation on In-Distribution and Out-of-Distribution Data in Human-Robot Interactions Using a Deep Ensemble Model—0
Compact Bayesian Neural Networks via pruned MCMC samplingCode0
Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach—0
Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural NetworksCode0
Distilling Calibration via Conformalized Credal Inference—0
Probabilistic Skip Connections for Deterministic Uncertainty Quantification in Deep Neural Networks—0
Geophysical inverse problems with measurement-guided diffusion models—0
Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks—0
A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval—0
Low-Order Flow Reconstruction and Uncertainty Quantification in Disturbed Aerodynamics Using Sparse Pressure MeasurementsCode0
From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence—0
A Systematic Computational Framework for Practical Identifiability Analysis in Mathematical Models Arising from Biology—0
Marketing Mix Modeling in Lemonade—0
Physics-informed Gaussian Processes for Safe Envelope ExpansionCode0
Bayesian Active Learning By Distribution DisagreementCode0
An AI-powered Bayesian generative modeling approach for causal inference in observational studies—0
Monty Hall and Optimized Conformal Prediction to Improve Decision-Making with LLMs—0
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