Latest Articles for Distribution

Microplastics pose an unseen threat to ocean health.

A new method for planning effective vaccination campaigns amid the pandemic.

Exploring the neighborliness of polytopes formed from random points.

A new method enhances super-resolution image quality while reducing computational needs.

Discover a tool that simplifies residual lifetime calculations for better decision-making.

Study reveals new insights into the formation of brown dwarfs and planetary mass objects.

Research shows transformer models can accurately predict GCD with proper training.

A look at how distribution testing impacts data behavior assessment.

A fresh approach to understanding galaxy distribution within dark matter halos.

Learn how bubbles form and interact in liquids during phase changes.

Introducing innovative residuals for better evaluation of discrete outcome regression models.

A new method uses voltage data for faster line outage detection.

A look at randomized methods for approximating Tukey's depth in complex data.

Examining the effectiveness of scheduling with uncertain job processing times.

FAKI improves inverse problem solutions using normalizing flows for better accuracy.

An exploration of quadratic residues and their distribution in prime fields.

Learn how to design effective trade mechanisms for small market participants.

A new method to create random samples from characteristic functions using neural networks.

Examining fairness challenges in GNNs amidst changing data distributions.

This study examines how charge distribution affects noise in graphene devices.

A study on identifying truncation effects in statistical data analysis.

GFlowNets improve sampling accuracy from complex discrete distributions.

Researchers study how random resetting affects particle search efficiency.

Exploring wealth distribution models through classic tales to understand societal impacts.

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

A new method for effective data sampling from complex distributions.

Research reveals how clumps within galaxies shape their evolution and star formation.

This study explores the theoretical underpinnings of discrete-time diffusion models in machine learning.

A new method enhances variational inference efficiency and accuracy.

Research reveals cancer stem cell distribution within tumorspheres impacts treatment outcomes.

Dive into the connections between distributions, lattices, and number theory.

An overview of fascinating prime gaps and their significance in mathematics.

A look into how noise impacts signal detection in technical systems.

House mice impact health, economies, and nature worldwide.

Explore non-commutative probability and its applications in diverse fields.

A look into the properties and significance of partial lattices in mathematics.

Examining how turbophoresis impacts particle behavior in turbulent environments.

Exploring the link between Toeplitz operators and random holomorphic sections on complex manifolds.

A novel approach using optimal transport improves multivariate data comparison.

This study introduces a better way to evaluate generative model performance.