Latest Articles for Distribution

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.

Learn about an efficient method for calculating left-tail rare event probabilities.

Researchers uncover details about variable stars in the NGC6819 cluster.

This article examines random motion patterns within a square, focusing on direction changes.

An overview of how triangle networks enhance our grasp of quantum interactions.

This study explores the impact of predictions on individual actions and outcomes.

New methods for certifying anti-concentration in data distributions enhance machine learning applications.

Innovative sampling technique tackles challenges in complex distributions for machine learning.

This study presents a novel use of deep learning in economic modeling.

An overview of how active particles respond in harmonic traps under various conditions.

Exploring the elusive brown dwarfs and their impact on star formation.

This article discusses the role of minimax procedures in enhancing linear regression accuracy.

This study examines how social factors affect Mpox cases in Ontario.

A novel technique using electrostatics for better data sampling and estimation.

This article examines how passive Brownian particles behave in a fluctuating harmonic trap.

This article explores the common pattern of Zipf's law across various fields.

Research unveils the unique songs of a lesser-known Caribbean bird.

Exploring methods to fairly allocate shared resources among community members.

A new method enhances unsupervised learning through self-attention in images.

Learn how Gaussian Processes improve predictions and manage uncertainty in data analysis.

New insights into the comet distribution around Pictoris enhance our understanding of celestial formation.

Explore the relationships that shape filmmaking, distribution, and success.

A new method helps scientists predict how particles move over time.

This study examines the behavior of the smallest eigenvalue in random matrices affected by outliers.

This paper explores methods to assess policy effects over time.

Study of run and tumble particles reveals complex movement influenced by environment.

A study on using tree structures to enhance topic modeling in text data.