Latest Articles for Computer Science

A look into minimizing regret amid changing algorithms in online learning.

Differentiable Tree Experts improves tree operations in artificial intelligence.

Exploring optimization strategies for the unbounded knapsack problem in online settings.

Explore the fundamentals and applications of graph theory and cut complexes.

New techniques for finding efficient paths in weighted areas.

A look into unary structures and their concise definitions in data representation.

Investigating qubit allocation and modular architectures for improved quantum computing efficiency.

Exploring random cell complexes in mathematics and data analysis.

A framework to improve theorem proving using Lean4 and language models.

Explore how Runtime Verification aids in checking system performance through event traces.

Explore the nuances of intuitionistic logic and its implications in mathematics and computer science.

A method improving the verification of higher-order probabilistic programs using novel type systems.

A new method enhances speed and efficiency in data handling within memory systems.

GPTQT enhances efficiency and performance in large language model quantization, making AI more accessible.

An overview of how rules interact within logical frameworks.

New algorithm enhances gene expression modeling using deep learning techniques.

New method improves efficiency in lossless image compression for binary images.

A study on the learning capabilities of large language models in modular arithmetic tasks.

This article discusses fitting bounded degree trees into complex sparse expanding graphs.

An overview of hyperpolygon spaces and their significance in mathematics.

Exploring methods to address fluid-structure interaction problems across various fields.

Submodular functions guide efficient decision-making in optimization problems.

A look into CFGs, their components, and relationships like bisimilarity.

Learn how hypergraph cut sparsifiers maintain essential features while reducing complexity.

Researchers develop new methods to improve graph generation for various applications.

A look into techniques for counting regular graphs and their applications.

A new method improves model accuracy and efficiency in fluctuating data environments.

A look into graph theory and the properties of triangle counts.

A look at discrete calculus and its applications in understanding complex shapes.

Explore the role of binary search trees in data organization and performance.

A look into how weighted processes function and their mathematical implications.

MSfusion allows resource-limited devices to train large models collaboratively.

Explore the significance of planar graphs and their edge limits.

FEAS enhances automated theorem proving for functional equations using new strategies.

Explore the significance of hypergraphs in mathematics and their applications.

Explore the fundamental concepts and applications of graph theory in various fields.

A new approach to improve decision-making in reinforcement learning.

Discover the N-Queens puzzle and its significance in mathematics and computer science.

Evaluating quantization and pruning to optimize DRL models for limited resources.

A look into preparing sparse quantum states for optimal quantum computing performance.