Latest Articles for Computer Science

A new algorithm improves robotic movement in complex environments.

Explore the significance and implications of P and NP in computer science.

This article discusses privacy methods for tabular data in large language models.

This study combines Large Language Models with Monte-Carlo Tree Search for better game decision-making.

A study on automated program generation using realizability and realization logic.

Exploring numerical methods for approximating SPDEs in various applications.

A new framework improves task scheduling in real-time systems.

A new method for efficient model editing with reduced resource needs.

An exploration of sumsets and their significance in computational mathematics.

A look at how dynamical systems work and their applications in various fields.

ECToNAS streamlines the process of finding optimal neural network architectures.

Explore the growth and applications of random trees in mathematics and nature.

A new method enhances GNNs by improving graph structure recognition.

Exploring graph homomorphism to enhance GNN generalization capabilities.

Grobner bases simplify computations in solving polynomial equations, impacting fields like cryptography.

This article examines how neural networks improve predictions with small initial weights.

A clear look at the key ideas in graph theory and their connections.

DiffRed combines techniques to simplify data analysis and improve results.

A look at how computing power and algorithms have transformed language models.

Analyzing four-valent oriented graphs and their symmetry properties.

Study the relationships between group elements using the Miller Machine.

Examining how network width impacts knowledge retention during sequential learning tasks.

A new framework enhances code completion by utilizing repository context.

Exploring a unified approach to improve classification accuracy and consistency.

This research focuses on computing threshold functions effectively despite noisy data.

Research explores the separation of quantum and classical proofs in complexity classes.

TCAM-SSD allows faster data processing directly within storage devices.

Understanding how Graph Neural Networks model complex relationships in data.

This article examines the structure and applications of intuitionistic modal logic L.

This work presents a new method for computing Reeb spaces in complex data sets.

A new framework to assess and compare task scheduling methods effectively.

Exploring techniques to improve multiclass classifiers amidst mislabeled data challenges.

A study examining how particles interact, flow, and fluctuate over time.

GBC offers an efficient solution for counting bicliques in large bipartite graphs.

New methods enhance software verification efficiency using auxiliary invariants.

A look at labelled calculi for non-distributive modal logic.

A look into Monotone Minimal Perfect Hashing and its efficiency in data management.

This research introduces state-space models for efficient video generation.

New method improves efficiency in solving complex partial differential equations using neural networks.

A look into hypergraphs and their roles in various fields.