Latest Articles for Uncertainty

Improving the calibration of uncertainty enhances decision-making in various fields.

This article examines the rare production of four top quarks in particle collisions.

This article examines how differences impact group opinion formation.

ProbSAINT predicts used car prices while assessing uncertainty in predictions.

A new method aims to improve safety in mobile robots by addressing uncertainties.

A novel approach to reward over-optimization in language models using uncertainty estimation.

Introducing a new model for better predicting vehicle movements in traffic.

APRICOT enhances trust in language models by measuring answer confidence accurately.

Learn how to measure uncertainties in robotic pose estimation for better performance.

A new method enhances molecular simulations by targeting areas of uncertainty.

A new method enhances image quality in Magnetic Particle Imaging.

Tyche offers flexible, diverse segmentation options for medical imaging challenges.

A new method helps robots ask for help and reduces errors.

A new method improves surrogate modeling accuracy using physical principles.

Research aims to improve machine interpretation of 3D environments for safety.

This study examines how Bayesian methods can enhance malware detection systems.

A new AI method improves scheduling in uncertain task environments.

Learn how engineers deal with uncertainty for safer designs.

A new method improves moment estimation with less computation and greater accuracy.

This article discusses how data-driven methods improve control systems through simplified models.

How different communication methods influence decision-making in uncertain situations.

A new approach to improve uncertainty quantification in multi-dimensional time series data.

A new method enhances the optimization of complex simulations by reducing uncertainty.

A fresh method for grouping data based on density and uncertainty.

Examining how uncertainty impacts decision-making in large language models.

Robots improve pushing tasks by better handling uncertainty during object manipulation.

A new method improves motion prediction for autonomous vehicles, focusing on safety and uncertainty.

Effective strategies for addressing uncertainty in Graph Neural Networks enhance reliability.

A look at how different statistical methods affect uncertainty in nuclear science.

Examining quantum rotors and their significance in understanding quantum behaviors.

Study examines how uncertainty affects trust in AI decision aids for gig drivers.

A new method improves 3D imaging accuracy by addressing uncertainty in density.

A fresh approach to handling uncertainty through structured reasoning.

A novel approach to improve example selection for better language model outputs.

Combining OOD detection and Conformal Prediction enhances model reliability.

A new method for accurate surface measurement in optics.

A new framework improves robot safety and navigation in unknown environments.

Kermut improves protein variant prediction accuracy by addressing uncertainties in outcomes.

A look into variational inference and its impact on approximating complex data.

Research reveals potential pathways for understanding new physics through cLFV.