Latest Articles for Computer Science

Learn how to approach quantum programming without the complexity.

Introducing a framework for analyzing direct sum questions in complexity theory.

Learn about tree transducers, their types, features, and applications in data processing.

Learn how decoupling simplifies solving complex evolution equations.

This paper discusses automated methods for transforming complex nonlinear optimization models into linear forms.

DiOMP combines PGAS and OpenMP for efficient distributed systems programming.

Explore the unique ways to factor strings in computer science.

A look into graph theory, focusing on edges, matchings, and structures.

Research combines superconductivity studies with machine learning for new insights.

Learn how GNNs can better generalize to unseen data.

An overview of many-valued logic and its significance in various fields.

A look into Neumaier graphs and their unique properties.

How neural networks improve parameter estimation in spatial models.

Cut-elimination theorems simplify logical proofs by removing unnecessary steps.

New method enhances analysis of complex systems through Symplectic Graph Neural Networks.

A look into the significance and properties of vertex-girth-regular graphs.

A look into how superposition enhances neural network efficiency and complexity handling.

This work establishes new lower bounds for circuit sizes in computational tasks.

Bell numbers help us partition sets, revealing their mathematical significance.

An exploration of order-divisor graphs and their significance in mathematics.

New algorithms enhance integer linear programming efficiency for optimization problems.

Examining the role of attention across different layers in language models.

This article investigates angle structures and their significance in hyperbolic manifolds.

This article discusses efficient training methods for speech models using self-supervised learning.

Examining the complexity of connecting pairs in acyclic directed graphs.

Discover the role of QuAK in assessing system performance and safety.

New methods improve neural network performance on limited-resource devices.

Examining the challenges and significance of the Subset Sum problem in computer science.

Learn about the construction and significance of monotone arc diagrams in graph representation.

A look into memory allocation strategies and their importance in system efficiency.

Discover how Zolotarev rational functions manage values in different domains.

Explore the fundamentals of graph theory and its real-world applications.

A look into Fourier Analysis and its significance in various fields.

Learn how graphs create complex topological spaces with essential properties.

A method to ensure reliable quantum program execution with lattice surgery.

A novel algorithm improves calculations for theta functions in Schottky groups.

Researchers develop new techniques for building strong bipartite graphs.

New methods enhance efficiency in simulating complex quantum circuits.

A look into graphs, their properties, and practical applications.

Explore the complexities of scheduling tasks across multiple machines for optimal efficiency.