Latest Articles for Uncertainty

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.

Teaching robots tasks through simple demonstrations shows great potential for adaptability.

This article discusses the integration of Bayesian deep learning into federated learning approaches.

This paper presents a novel strategy for improving regression tasks through active learning.

This article examines how animals represent uncertainty in decisions.

Exploring new methods to improve uncertainty representation in deep learning.

A new method to manage uncertainties in power systems with renewable resources.

A new framework enhances model-based reinforcement learning with adaptive control for better decision-making.

This article introduces a new method for predicting diabetes risk using survey data.

A new method combines machine learning with Bayesian modeling for better predictions.

A new framework to assess predictive model performance amidst uncertainties.

A new training method enhances neural networks' ability to assess uncertainty.

Discover NEON, a method improving uncertainty quantification in machine learning.

A study reveals overconfidence issues in AI language and vision models.

Understanding uncertainty helps robots operate effectively in unpredictable environments.

A novel method improving uncertainty estimation in AI models for edge devices.

New methods improve prediction accuracy and uncertainty measurement in data analysis.

Examining the impact of the independence assumption on machine reasoning and uncertainty.

A study on how reasoning and experience shape decision-making processes.

QComp improves data completion accuracy in drug discovery, aiding faster research.

A novel approach for extracting parton distribution functions from experimental data.

This study highlights atomic data uncertainties in stellar coronae analysis.

Analyzing rounding errors can improve the accuracy of low-precision calculations.

ClimODE combines machine learning and physics for improved weather predictions.

A methodical approach to minimize uncertainties in aircraft design through simulations and experiments.

A new method offers insights into the trustworthiness of LLM responses.

A study of how humans and computers identify objects amid uncertainty.

This study compares how language models express uncertainty compared to human communication.

LoRA-Ensemble combines models for better predictions and uncertainty management.