Latest Articles for Gaussian Processes

A look at how gradient-enhanced models improve predictive accuracy.

A new method combines physics and machine learning for better predictions.

New methods enhance the design process for DNA and protein sequences.

A new approach to make high-dimensional data easier to manage.

This study emphasizes the importance of target variables in vehicle behavior modeling.

A novel approach to regression using Deep Horseshoe Gaussian Processes for improved variable selection.

Convex Hull-aware Active Learning improves material stability assessments effectively.

A new method enhances the analysis of exoplanet atmospheres using correlated noise modeling.

Researchers improve Gaussian process modeling using the Vecchia approximation and GPU technology.

New modeling techniques improve our understanding of stellar oscillations and properties.

A study on how Gaussian Processes identify brightness changes in Active Galactic Nuclei.

New techniques enhance the speed of developing compositionally complex alloys.

G-VGPMIL enhances multiple instance learning for effective medical imaging analysis.

Machine learning improves predictions of band gaps, enhancing material electronic property insights.

A new approach enhances functional regression techniques for complex data analysis.

A look at how conditional distributions function with Gaussian random variables.

New method improves accuracy in spatial data analysis, addressing key public health challenges.

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

A method for estimating interactions in systems using noisy data.

This article discusses TULIP, a method for better uncertainty estimation in machine learning.

A new method to evaluate covariance functions efficiently in Gaussian processes.

A novel approach enhances measurement precision for finding distant planets.

New techniques simplify analysis of large spatial datasets, improving accuracy and speed.

A new benchmark enhances offline multi-objective optimization methods across various fields.

A new framework for efficient data collection in robotics.

New methods improve speed and efficiency in solving time-dependent equations.

Robots learn tasks by observing humans, enhancing adaptability in manufacturing.

A new method improves wind predictions using statistical models and data integration.

New methods improve brain image data analysis using manifold learning techniques.

New normalization methods improve spatial data predictions and analysis efficiency.

A new method improves efficiency in adapting to changing optimization problems.

Researchers develop a fast emulator for complex computer models.

Discover how random features simplify complex calculations in machine learning.

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

Researchers study galaxy clusters and their connections through redshift analysis.

A new method enhances covariance estimation in Gaussian processes with adaptive thresholding.

A new method improves learning adaptability in complex environments.

New methods improve the study of complex cosmological data through machine learning.

A new method enhances speed and accuracy in logistic regression predictions.

This article explores solutions to oversmoothing in graph neural networks, focusing on GCNs.