Latest Articles for Computer Science

Exploring how transformer models adapt using in-context learning from minimal examples.

A look into the properties of triangulated and -perfect graphs.

A look into the Closest String problem and its applications in various fields.

Explore NE-MOEA, a non-elitist method for solving multi-objective problems efficiently.

Explore the characteristics and applications of rigid graphs in various fields.

Random tensors are key in machine learning, physics, and computer science applications.

Explore the continuous AAA algorithm and its benefits in various fields.

Research on efficient data recovery in distributed storage systems facing server failures.

New quantum algorithms improve data search efficiency and reduce error rates.

New clustering models improve data analysis by handling overlaps and noise.

Learn how ART and LSH-ART improve software testing efficiency and fault detection.

An overview of linear systems, operator solutions, and their connection to quantum theory.

Explore the challenges and solutions for concurrent programs in weak memory models.

A novel approach improves solution finding for nonlinear differential equations across various fields.

A new decoder improves quantum error correction speed and efficiency.

Strategies for minimizing tree diameter by adding shortcuts efficiently.

Two methods enhance language model performance in converting natural language to SQL queries.

Explore how Ramanujan graphs connect with quaternion algebras in mathematics.

Investigating nucleation and growth dynamics in two-dimensional cellular automata models.

This article studies how triangles form in random graphs and the factors involved.

An overview of cographs, their properties, and significance in graph theory.

A new method for learning timed automata focusing on timing constraints.

Analyzing key error sources affecting superconducting qubit gate performance.

A systematic algorithm examines process behaviors, including silent actions for better analysis.

Exploring self-repellent random walks to improve sampling efficiency in complex systems.

This study examines why students hesitate to engage in Q&A forums.

A new method improves how machines create images from text, using sketches for accuracy.

Learn the basics of combinatorial structures and their applications across various fields.

Learn how path-factors influence relationships in graphs and their real-world applications.

A look at how evolutionary algorithms perform when faced with various constraints.

Exploring term rewriting in parallel computation for efficient data processing.

A new approach to enhance the efficiency of quantum circuits using Pauli strings.

A study on how cell-like creatures evolve through natural selection in a virtual environment.

This paper examines the relationship between transductions, logic, and automata in language theory.

Infinitesimals shape our understanding of mathematical structures and their applications.

Introducing Concurrent Valuation Algebras for better data organization and system modeling.

A study of GNNs focusing on expressivity and logical representation.

TReR improves place recognition for autonomous vehicles using 3D LiDAR data.

A look at how pebbling interacts with non-split domination in graph theory.

A look into composite processes and their significance in thermodynamic systems.