Latest Articles for Computer Science

A fresh look at functions using discrete ordinary differential equations.

Exploring a layered approach to modal logic and its applications.

This article discusses the hurdles in quantum software development and possible solutions.

A look at graphs and their connections to association schemes.

RoseNNa simplifies the use of neural networks in computational fluid dynamics simulations.

A new method enhances accuracy in tracking live cells through video analysis.

Learn how sparsity improves efficiency in multi-task learning models.

A new approach to simplify state merging for better program analysis.

A groundbreaking approach to training neural networks without gradients.

Explores bandit feedback and its implications for machine learning models.

Researchers improve methods for finding Ramsey number counterexamples using new algorithms.

A new method enhances diffusion models for clearer image generation.

A new method improves the efficiency of quantum search in complex graphs.

A new program simplifies realistic cloth behavior in digital art and design.

A new method simplifies converting complex SDPs to real formats for improved efficiency.

New strategies aim to protect quantum computers from cosmic ray disruptions.

Exploring coloring techniques in hypergraphs and their mathematical implications.

Exploring Size-Ramsey Numbers and their impact on graph theory and sparse structures.

This article examines min-k-planar drawings and their significance in graph representation.

A look into the Kauffman bracket skein module and its applications in knot theory.

Exploring the significance of convex minorant trees in analyzing random graphs.

A study on the similarities and differences among programming languages in language models.

Optical computing uses light to offer faster processing and energy efficiency.

A look at differential operators, their properties, and significance in various fields.

A new approach helps transformers handle lengthy texts efficiently.

A study on the performance of three genetic algorithms in software refactoring.

A new algorithm enhances efficiency in solving fair parity games.

A simpler approach to calculate Gromov-Hausdorff distances in metric spaces.

Introducing a new hashing method that improves performance and reliability.

Examining RSGDA's effectiveness in solving stochastic minimax optimization problems.

Exploring new methods for converting non-deterministic automata to deterministic forms.

A new method enhances qubit mapping by focusing on single-qubit gates.

Explore the role of numerical methods in understanding Lie systems across various fields.

A study on how spectral independence affects system stability and mixing time.

New techniques improve performance of Graph Neural Networks in handling large data structures.

Exploring the impact of monus semantics on vector addition systems with states.

Learn how structured pruning improves efficiency in deep learning models.

Analyzing the connection between C-I graphs, chordal graphs, and cographs.

A look into how Fréchet distance assesses curve similarity across various fields.

A new method for counting graphlets in changing networks.