Latest Articles for Computer Science

Examining the complexities of Eulerian paths in infinite graphs.

New algorithms enhance the computation of modified Bessel functions for various applications.

A system that answers queries about CAD models using natural language processing.

A look at unique crease patterns formed by folding paper.

Learn how distributed quantum error correction improves quantum computing reliability.

Exploring how quantum concepts can advance machine learning methods.

This study examines performance and conditions for quantized neural networks under fixed-point arithmetic.

A method for improving accuracy in solving advection-diffusion issues across dimensions.

A look into the relationships and characteristics of circular-arc and chordal graphs.

Exploring Reverse Experience Replay for more efficient learning in reinforcement algorithms.

An overview of power graphs, their orientations, and implications in group theory.

A method to enhance simulations using Bayesian ideas and active learning.

An overview of the structure and properties of generalized Paley graphs.

This article discusses how small extensions relate to degrees of computation.

Exploring the relationship between chromatic number and minimum degree in graphs.

A new framework combines machine learning and PDEs for efficient scientific modeling.

Research highlights working memory constraints in Transformer models during complex tasks.

A new method streamlines the counting of minimal models in Boolean logic.

This article explores the connections between critical groups and harmonic covers in graphs.

A method to improve efficiency in neural networks using in-memory computing.

A simple introduction to the properties and significance of thin Heckoid groups.

An overview of optimal sampling methods in least-squares approximation.

A look into the complexities of bichromatic spanning trees and their applications.

A fresh approach to lambda calculus, integrating resource usage and approximation.

COCA improves simulations by integrating machine learning with physics for better accuracy.

A look at the Stability Property and its significance in call-by-value calculus.

Learn how PML improves wave simulation accuracy by minimizing reflections.

LPT++ improves object recognition in classes with few examples through advanced techniques.

A look into how parties share information in quantum computing.

Learn how continuations aid in managing quantum computations.

A new RL environment aims to improve code optimization for MLIR compiler.

QLMNtal enhances graph handling with powerful quantification features.

This model improves AI learning while retaining past knowledge.

Learn how new methods improve column arrangement in binary matrices.

Learn how adjacency labeling optimizes graph data storage and analysis.

This paper examines the use of transformer models in chess and their advantages.

This article discusses quantum algorithms in non-Abelian lattice gauge theory research.

A new framework integrates bundle adjustment with PyTorch for improved 3D modeling.

Oblivious data structures protect sensitive information by hiding access patterns.

A look at how randomness shapes modern computational techniques.