Latest Articles for Computer Science

New methods enhance efficiency and accuracy in matrix logarithm computations.

SMURF improves 3D rendering despite motion blur challenges.

A look at how satisfiability, coverage, and fairness intersect in optimization.

New methods improve efficiency and accuracy in tree building.

Sublinear expanders offer unique connectivity properties for sparse graphs in various fields.

A new method improves anomaly detection in changing graphs by using spatial and temporal memory.

A look at mini-batch stochastic subgradient method in optimization.

Combining quantum computing and machine learning to address complex graph challenges.

A guide to optimization, its types, challenges, and practical uses across various fields.

A new approach improves image consistency and quality in story visualization tasks.

Discover the latest developments in error correction for modern memory technologies.

This article simplifies cubical categories, making their importance clear in math and computer science.

Research focuses on simplifying complex graph problems using expander techniques.

Exploring the properties and applications of CR-geometry in various fields.

Learn essential programming terms and ideas in simple language.

Explore GWSBM and GWPDSM models in community detection.

This paper examines crosstalk noise and strategies for its mitigation in quantum systems.

CRLQAS improves quantum circuit design under noisy conditions using reinforcement learning.

New method enhances how LLMs learn from examples.

This article examines links between Depth-3 circuits and SAT problem-solving techniques.

Introducing EPIC, a method for efficient eigenvalue computation.

Explore enriched categories and their impact on mathematics and computer science.

Recent studies reveal new insights into graph edge directions and their connectivity.

Research reveals effective attack on LWE systems with sparse binary secrets.

An overview of contraction perfect graphs and their significance in graph theory.

Examining how graph rewriting systems operate through structured frameworks.

Learn how to verify complex systems efficiently using modern methods.

Learn how computers make decisions through Reinforcement Learning techniques and processes.

Learn the basics and future potential of quantum computing technology.

A new method enhances the learning capabilities of Graph Neural Networks.

Researchers combine generative and discriminative methods for improved sound classification.

A new framework simplifies testing JIT compilers by generating automated test cases.

Exploring piecewise-constant lifting for improved integer programming solutions.

A new approach improves scalability in asynchronous BFT systems.

Combining Monte Carlo Tree Search with Cube-and-Conquer boosts SAT solving efficiency.

Exploring a new approach to understanding modal logic through base-extension semantics.

This article discusses methods for preparing graph states using Clifford operations.

Explore the significance and applications of combinatorial theory in various fields.

Researchers simplify neural networks to boost performance on limited-resource devices.

A look into right-linear grammars and their logical implications.