Latest Articles for Computer Science

A system prioritizing melody while offering control over orchestral music generation.

This method improves image quality in compressed sensing using adaptive techniques.

Explore the behavior and applications of liquid crystals in technology and research.

Explore how partitioned networks help us understand various complex relationships.

A look at lattices, their types, operations, and applications.

Exploring various types and applications of matching problems in different fields.

This paper discusses methods for anonymizing networks while preserving data utility.

Learn how hyperparameters affect neural network performance and complexity.

Investigating the existence and features of strongly regular graphs.

Exploring the role of neural networks in understanding conformal fields and phase transitions.

Examining hyperformalism and its impact on logical systems and reasoning.

A framework for analyzing concurrent programs with probabilistic outcomes.

An overview of model theory's impact on mathematical structures and relationships.

Learn about the role of evolutionary algorithms in optimizing quantum error correction codes.

This study uncovers how LLMs adapt their learning through attention patterns.

SCOMatch improves learning from both labeled and unlabeled data in OSSL.

This article discusses methods to safeguard quantum information from decoherence effects.

Research expands Cohen's theorem to approximate spectral norms in Boolean functions.

Exploring the difficulties of optimizing nonsmooth nonconvex functions and local algorithm limitations.

Examining propositional equality's role in type theory and its implications.

A look into how Brownian motion impacts simulations in various fields.

A new method for faster string query evaluation using MSO logic.

A new method improves image reconstruction in noisy medical data.

Introducing arbitrarily finely divisible matrices for better understanding of stochastic processes.

An overview of weighted walks and their implications in various fields.

Examining point arrangements in regular trees enhances understanding in various scientific fields.

A new method enhances solution transfer accuracy in complex simulations.

Examining the relationship between mathematical proofs and geometric spaces.

Examining how model parameters impact performance on long-range tasks.

A fresh approach improves training diverse model groups efficiently without separate OOD data.

A look into minimum spanning trees and their significance in various fields.

Introducing a faster approach to solve distributed optimization problems using control theory.

Discover new methods for representing Baxter permutations with improved space efficiency.

A fresh approach to understanding weights in coding theory.

Machine learning models improve predictions of molecular responses to ion irradiation.

A new method improves parameter estimates in inverse problems affected by noise.

New algorithms improve efficiency in solving sparsity-related problems.

A new method enhances robot abilities to stack and arrange objects effectively.

Improving tools to check if loops in programs will finish running.

A new method to analyze uncertain graphs and their centrality measures.