Latest Articles for Sampling

Introducing a multiscale method to improve fairness in electoral district drawing.

SOFisher optimizes sampling strategies in spatial omics for impactful tissue analysis.

New methods enhance watermarking in large language models while preserving text quality.

New method addresses brightness issues in diffusion models for better image generation.

A look into graph signal processing and its impact on modern data analysis.

New methods for sampling trajectories enhance predictions in various fields.

A new AI method enhances carbon measurement in ocean particles.

A novel method for accurate population size estimation with limited data.

Molecular shapes impact drug design and interactions.

How machine learning enhances audit sampling methods in data-rich environments.

Slipstream speeds up recommendation models by skipping unnecessary updates.

New methods improve sampling from complex distributions using HJB equations and Tensor Train.

A new approach to handle indexing of uncertain strings effectively.

A new method reduces data needs for accurate logistic regression predictions.

Introducing ZOD-MC, a novel approach for challenging sampling tasks.

A guide to sampling methods and strategies in black-box optimization.

A new uniform sampling method improves accuracy and reduces antenna testing time.

This article discusses how data-driven methods improve control systems through simplified models.

Methods to improve rendering quality across varying scene sizes.

Examining sampling methods to improve clustering efficiency and accuracy.

Learn how diffusion models transform noise into structured data like images.

Machine learning aids in predicting crystal structures more efficiently than traditional methods.

A new method improves curve reconstruction from sparse samples on complex surfaces.

New methods improve predictions of future video frames using past data and depth.

New methods improve the construction of detailed 3D REMs for better spectrum management.

A method to solve parabolic PDEs more efficiently.

Ethraid helps researchers study distant star companions using limited data.

A new system improves efficiency in analyzing graph data patterns.

G-RRT* improves robot pathfinding in complex environments through efficient sampling.

New approaches to simulating optical turbulence improve accuracy in astronomy and communication.

A new approach enhances the accuracy of reasoning graphs from language inputs.

Adaptive stepsize methods enhance Langevin dynamics simulations of particle behavior under random forces.

A new method reconstructs 3D shapes from images without known angles.

Developing algorithms for effective triangle sampling in graph data streams.

A spatial analysis of Internet performance highlights access disparities in Chicago.

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

This paper presents new sampling methods for better generative model performance.

LD3 improves image quality and reduces computation in Diffusion Probabilistic Models.

Examining methods for optimization and sampling in complex problem settings.

A method for finding strategies in MDPs without prior knowledge.