Latest Articles for Computer Science

Introducing a flexible framework for distributed knowledge using simplicial complexes.

A look at how PQE simplifies complex logical formulas.

A concise overview of finitary automata and the importance of reducing their complexity.

RDN tackles agent redundancy for better cooperation and performance in multi-agent learning.

Investigating the memory requirements of pseudo-deterministic algorithms for counting streams.

Researchers develop methods for translating cosmic field data using computer algorithms.

This paper presents a faster method for the Maximal Independent Set problem.

A new method improves quantum circuit performance using parallel wire cutting techniques.

Learn how 3D-aware GANs are changing video editing techniques.

Exploring the behavior of integer points in integral bisubmodular polyhedra.

Introducing a language to effectively express and manage structured data types.

Exploring how task rearrangement yields the same computational outcome.

New methods enhance neuron mapping accuracy for neuroscience research.

A novel approach to improve dialog systems using domain schemas and innovative training.

A look at randomized compiling for error correction in quantum circuits.

Combining machine learning and PDEs improves modeling of complex physical systems.

This article discusses the difficulty of embedding graphs in structured forms.

New methods enhance accuracy in large matrix computations.

Exploring how groups behave and interact in various settings.

A new method enhances the training of Feedforward Neural Networks through smart heuristic selection.

An exploration of Holant problems in planar 3-regular bipartite graphs.

Exploring satisfiability complexities in HyperLTL and HyperCTL* logics.

A novel approach using quantum computing for improved data classification.

Partitioning divides data into manageable groups, enhancing system performance.

A new framework improves energy efficiency in DNNs on IMC architectures.

New methods improve graph analysis in computer science and data applications.

Explore hypergraphs and Laplacians for complex relationship modeling.

Exploring how mate preferences enhance diversity in Genetic Programming solutions.

Discover effective strategies for efficient matrix multiplication.

Examining orthogonal colorings in random geometric graphs reveals key properties and optimal configurations.

Optimizing locations for facilities using cactus graphs can improve urban planning and logistics.

Explore how eigenvalues relate to graph structures and their applications.

Learn how synchronization ensures smooth operations in technology systems.

Exploring how VC-dimension applies to pseudo-random graphs and its significance.

Explore the world of continued fractions and their applications in mathematics.

This work enhances quantum circuit simulations using Tensor Cores and automatic precision selection.

This study explores how path lengths in graphs on tori can be understood.

Learn how graphs enhance data analysis across various fields.

A deeper look into woody coloring and its significance in graph theory.

Exploring different definitions of points through the ideas of Grzegorczyk and Whitehead.