Latest Articles for Computer Science

This paper discusses a method to speed up solving MINLP problems using paraboloids.

Examining graph structures, including cycles and connections between vertices.

Efficient qubit management is key to advancing quantum computing technology.

An overview of graph colouring concepts, particularly focusing on Kneser graphs and Stahl's conjecture.

Explore how string attractors improve data compression methods.

A new theory simplifies 3-qubit quantum circuits using Toffoli and Hadamard gates.

Explore how the closed neighborhood corona product shapes graph relationships and properties.

An overview of twin-width, feedback edges, and vertex integrity in graph theory.

A new approach to enhance data analysis and image compression.

Explore the importance of independence in rewriting systems and its impact on efficiency.

Recent developments enhance the Arimoto-Blahut algorithm for channel capacity calculations.

A new approach automates parameter tuning for better image denoising.

GraphTP enhances graph learning through improved data strategies.

Explore the nuances of Gödel logics and their applications in prenex normal forms.

Exploring how Reed-Solomon codes enhance data recovery from errors.

A new programming language improves MPC protocol security verification.

A new method reduces wasted time from memory errors in computing.

A study on optimal control methods for non-smooth systems governed by elliptic PDEs.

Explore the connections between Motzkin paths and projective geometry.

Learn about domain theory and its importance in logic and computer science.

A look at domain theory and its structures using univalent foundations.

A new method for evaluating 4K video quality without reference videos.

A new method estimates power use and heat in CNN accelerators for better performance.

Understanding techniques to bypass safety in language models.

A look into Artinian meadows and their unique mathematical properties.

A new approach streamlines low-precision training for large language models.

Combining static and dynamic analysis boosts software reliability.

This article discusses predicting stability numbers in graphs using convolutional neural networks.

Gymnasium simplifies research in reinforcement learning with versatile environments and support tools.

Explore how transit functions reveal relationships in directed graphs and networks.

Examining the complexities of sampling from the Ising model under spectral constraints.

CoCN enhances graph representation learning through innovative message-passing techniques.

A study on graph reconstruction using connected subsets and structural information.

New lattice designs show unique behaviors and applications in wave manipulation.

Exploring the complexities and applications of hypergraphs in mathematics.

This article discusses efficient algorithms for integer programming and subset sum problems.

Learn how CDS enhances string processing efficiency across various fields.

New methods enhance the reachability of resource-aware systems.

Researchers present an approach to simulate noisy quantum circuits efficiently.

A new method for estimating energy barriers in transitions between stable states.