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Uncertainty Quantification

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Showing 451–500 of 2366 papers

TitleStatusHype
Generative emulation of chaotic dynamics with coherent prior—0
Learning Enhanced Structural Representations with Block-Based Uncertainties for Ocean Floor MappingCode0
Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results—0
Safety Monitoring for Learning-Enabled Cyber-Physical Systems in Out-of-Distribution Scenarios—0
Adaptive modelling of anti-tau treatments for neurodegenerative disorders based on the Bayesian approach with physics-informed neural networks—0
Exploring the Potential for Large Language Models to Demonstrate Rational Probabilistic BeliefsCode0
Riemannian Patch Assignment Gradient Flows—0
Uncertainty Quantification in Graph Neural Networks with Shallow Ensembles—0
Multi-Agent Reinforcement Learning Simulation for Environmental Policy Synthesis—0
Safe Physics-Informed Machine Learning for Dynamics and Control—0
Leave-One-Out Stable Conformal PredictionCode0
Advances in Surrogate Modeling for Biological Agent-Based Simulations: Trends, Challenges, and Future Prospects—0
Efficient Medical Image Restoration via Reliability Guided Learning in Frequency Domain—0
Bayesian Analysis of Interpretable Aging across Thousands of Lithium-ion Battery Cycles—0
Conformal Calibration: Ensuring the Reliability of Black-Box AI in Wireless Systems—0
Conditional Conformal Risk Adaptation—0
A Novel Deep Learning Approach for Emulating Computationally Expensive Postfire Debris Flows—0
Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging—0
Adaptive Shrinkage Estimation For Personalized Deep Kernel Regression In Modeling Brain TrajectoriesCode0
Assumption-free fidelity bounds for hardware noise characterization—0
ICBM community cancer registry analysis: a focus on Non-Hodgkin Lymphoma cases in missileers—0
Trustworthy AI Must Account for Intersectionality—0
Conformal Robust Beamforming via Generative Channel Models—0
Adapting GT2-FLS for Uncertainty Quantification: A Blueprint Calibration StrategyCode0
Uncertainty-Aware Hybrid Machine Learning in Virtual Sensors for Vehicle Sideslip Angle Estimation—0
The challenge of uncertainty quantification of large language models in medicine—0
Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors—0
Randomised Postiterations for Calibrated BayesCG—0
Adaptive Elicitation of Latent Information Using Natural Language—0
Quantifying the uncertainty of model-based synthetic image quality metrics—0
Operator Learning: A Statistical Perspective—0
Structured Extraction of Process Structure Properties Relationships in Materials Science—0
Bayesian LSTM for indoor temperature modeling—0
Probabilistic Machine Learning for Noisy Labels in Earth Observation—0
ConfEviSurrogate: A Conformalized Evidential Surrogate Model for Uncertainty Quantification—0
Improving Counterfactual Truthfulness for Molecular Property Prediction through Uncertainty Quantification—0
Computing High-dimensional Confidence Sets for Arbitrary Distributions—0
Beyond Non-Expert Demonstrations: Outcome-Driven Action Constraint for Offline Reinforcement Learning—0
Multi-fidelity Parameter Estimation Using Conditional Diffusion Models—0
Barrier Certificates for Unknown Systems with Latent States and Polynomial Dynamics using Bayesian Inference—0
Inverted Gaussian Process Optimization for Nonparametric Koopman Operator Discovery—0
Stochastic Model Predictive Control of Charging Energy Hubs with Conformal Prediction—0
Conformal uncertainty quantification to evaluate predictive fairness of foundation AI model for skin lesion classes across patient demographics—0
Bayesian Predictive Coding—0
New Statistical Framework for Extreme Error Probability in High-Stakes Domains for Reliable Machine Learning—0
UP-dROM : Uncertainty-Aware and Parametrised dynamic Reduced-Order Model, application to unsteady flows—0
Multi-stage model predictive control for slug flow crystallizers using uncertainty-aware surrogate models—0
Efficient Epistemic Uncertainty Estimation in Cerebrovascular Segmentation—0
Generative Latent Neural PDE Solver using Flow Matching—0
Robustness quantification: a new method for assessing the reliability of the predictions of a classifier—0
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