Latest Articles for Uncertainty

Learn how compromise decisions enhance reliability in stochastic programming.

Research advances methods for safer robot navigation using uncertainty estimation techniques.

This article examines how certain neurons affect uncertainty in language model predictions.

Study reveals how acetylcholine influences choices and learning under uncertainty.

A new decision-support method aids forest managers in planning under uncertain conditions.

New methods improve molecular design by measuring prediction uncertainty.

A new method for combining inconsistent measurement data shows promise for scientists.

Learn how to improve grape harvesting profits through accurate forecasting and flexible strategies.

Examine the role of hybrid multi-rate control systems in modern engineering.

Mutual learning boosts performance and uncertainty estimation in Bayesian Neural Networks.

Enhancing prediction sets when data conditions shift without needing labels.

This study examines how LLMs evaluate their own knowledge and risk of errors.

Innovative methods for effective trajectory data management and analysis.

This study highlights the importance of uncertainty in AI segmentation for multiple sclerosis.

A new framework efficiently solves PDEs while addressing uncertainties.

A novel method enhances language model performance by addressing uncertainty in text generation.

Streamlining data labeling with active learning approaches in entity recognition tasks.

A new approach to improve prediction reliability in machine learning.

Recent research shows links between LLMs and human cognitive behaviors.

PULPo improves medical image alignment and quantifies uncertainty effectively.

A method to enhance model training using partially labeled medical images.

UNRealNet enhances robot navigability in tough terrain using advanced techniques.

A new method enhances robot manipulation under uncertain conditions.

FastSAM-3DSlicer simplifies 3D segmentation in medical images for improved diagnosis.

A look at two key approaches in data science and their unique strengths.

DistPred improves outcome predictions by accounting for uncertainty effectively.

Examining how to improve certainty in AI predictions through conflictual loss.

A new approach to decision-making that considers how choices shape outcomes.

New methods aim to improve how robots manage uncertain contact timings.

Techniques to improve graph inference and uncertainty estimation in various fields.

A new method for measuring uncertainty in deep learning, especially in survival analysis.

Two new estimators enhance accuracy in analyzing item response data.

AI improves early detection of colorectal polyps through advanced imaging techniques.

New methods improve accuracy of regional sea-level change forecasts using machine learning.

A new method improves uncertainty estimation in machine learning applications.

This article discusses how Bayesian methods improve confidence in neural network predictions.

A new module improves robot navigation by estimating uncertainty in image segmentation.

A new method for estimating conditional expectations efficiently in uncertain environments.

New method enhances MRI images by showing uncertainty in reconstructions.

New methods enhance safety in self-driving cars amid unpredictable obstacles.