Latest Articles for Computer Science

A look at finite-valued Lukasiewicz logic and its proof systems.

SPIDER enhances data handling efficiency for rank and select queries.

Discover how fluid simulation creates realistic animations of liquids in visual media.

Exploring how lazy training impacts neural network performance and learning dynamics.

A tool to generate and analyze synthetic sparse tensors in various fields.

Examining how reversible circuits can generate nearly independent permutations for secure systems.

A fresh method for creating efficient gaming strategies through program behaviors.

Analyzing connections in bi-colored lattices through minimum spanning trees.

Learn how graph analysis helps detect unusual patterns in data.

Exploring recent methods and challenges in multi-agent reinforcement learning.

A method to automate and optimize instruction selection for various computer architectures.

Explore the structures and relationships defined by chirotopes in mathematics.

This article discusses tournament graphs and their analysis using streaming algorithms.

Explore how persistent homology aids in understanding complex data structures.

This article explores nodal count and its significance in graph theory.

A new method enhances the efficiency of deep neural networks through automated optimization.

Learn about intuitionistic logic and its applications in various fields.

This study investigates memory efficiency in large language models through low-rank decomposition.

This study focuses on existentially quantified variables in QBF, aiming for efficient solutions.

Researchers establish a stronger speed limit for changes in quantum observables.

A new method to calculate Heegaard genus efficiently using normal surfaces.

Introducing a method to handle difficult optimization problems with Lipschitz constraints.

Combining SmoothQuant and GPTQ improves efficiency and performance of large language models.

Exploring self-avoiding walks and their implications on complex graph structures.

A fresh approach to enhance self-supervised learning using binning in tabular data.

Researchers propose a novel method for calculating excited states using quantum circuits.

This study focuses on algorithms for determining winners in regular games.

Exploring the role of MSO in understanding linear recurrence sequences and their decidability.

A new method allows language models to adapt to various tokenizers without retraining.

This study examines the Weisfeiler-Leman dimension and coherent configurations in graphs.

New methods improve the creation of distributed protocols for reliable computing.

Explore the latest methods and challenges in distributed graph coloring.

A novel approach streamlines solutions for nonlinear tensor differential equations efficiently and effectively.

DPSynth uses dynamic programming for efficient boolean function synthesis.

A new method reconstructs 3D shapes from images without known angles.

Exploring random walks to analyze complex data structures effectively.

A method that improves approximation of mathematical models using neural networks and finite elements.

Introducing expanderized random walks for efficient sampling in complex systems.

Examining the relationships and complexity of Weihrauch degrees through equational theory.

Learn about complexity measures that affect randomness in sequences.