Latest Articles for Computer Science

Explore the role of signed graphs in analyzing relationships and connectivity.

A look into the complexities of ensuring distributed systems operate correctly.

Learn about faster methods for measuring string similarity using edit distance.

This article examines how acoustic waves travel in gases with changing density.

Exploring the complexities of integer packing within geometric shapes.

New methods tackle challenges in weighted low rank approximation efficiently.

Exploring intuitionistic multiplicative linear logic and its significance in reasoning.

This study focuses on minimizing network lengths connecting specific points in geometry.

Strategies to enhance the training of deep learning models effectively.

A new method leverages language models to enhance compiler bug identification.

Exploring the connections between polynomial equations and geometric structures.

Combining neural networks and logic to tackle Sudoku puzzles effectively.

Learn how minimal separators impact various fields including computer science and network analysis.

This paper presents a method for simplifying LTL specifications in reactive systems.

Examining the role of quantum walks in optimizing graph division for the MAX-CUT problem.

A look into the Karpelevic region and its significance in stochastic matrices.

A look into first-order logic enhanced by data management.

Discover efficient methods for string handling using DAWGs and suffix trees.

A novel technique for grouping images based on visual similarities without labels.

An in-depth look at covariance matrices and their significance in data analysis.

Analyzing treewidth reveals insights into complex graph structures and algorithms.

A look into how synchronizing automata enable systems to reset states effectively.

Research on memory-efficient algorithms for Dominating Set and Vertex Cover in planar graphs.

New algorithms enhance accuracy in estimating distinct items while minimizing memory usage.

Research reveals new findings on polynomial decomposition into sums of squares.

This research examines methods to eliminate crossing segments using flips.

A look at the trimming process in finite subsets of the Manhattan plane.

A new method merges neural networks and finite element techniques for better problem-solving.

An overview of Neural Architecture Search and its role in deep learning.

Learn how graph sparsification simplifies structures while retaining key characteristics.

Researchers are automating event schema creation using advanced language models.

Explore methods for efficiently identifying minimal absent words across strings.

A look at how structured variable addition improves problem-solving efficiency.

Innovative algorithms offer faster solutions for finding paths in undirected graphs.

A look into the structure and significance of retrocells in double categories.

Explore advancements in graph connectivity and their practical applications across various fields.

A look at edge colorings and their role in graph theory.

A look into positive spanning sets and their significance in optimization.

Exploring the role of curvature in understanding network connections and community detection.

Learn how to speed up recursive functions using Runtime Repeated Recursion Unfolding.