Latest Articles for Computer Science

Explore how matroids impact combinatorics, geometry, and algebra.

A method for restoring clarity in blurred images through statistical techniques.

A look into average hereditary graphs and their significance in graph theory.

Discover how Neural Network Potentials transform molecular simulations for researchers.

Exploring the role of Bayesian Neural Networks in turbulent flow prediction.

Learn how to simulate conditioned diffusions in complex curved spaces.

This note discusses building Heyting algebras using distributive lattices and their implications.

This article discusses how reset strategies enhance SAT solver performance using reinforcement learning.

New algorithms improve weight-matching in matroids for practical problem-solving.

A proposal for a reference architecture in knowledge engineering to enhance system efficiency.

A new method improves trust in automated program verification.

Exploring the development of reliable systems for quantum computing.

This study examines methods to identify heat sources from limited measurements.

A new method automates analysis of probabilistic program outputs.

A look into the satisfiability problem and its implications in logic.

Best Response Shaping improves cooperation among agents in competitive environments.

A look at double cosets, reduced expressions, and their significance in mathematics.

A look into how Morse theory analyzes distance functions and critical points.

New methods improve model performance in unsupervised learning tasks.

A new approach to streamline effectful computations in programming languages.

A new algorithm enhances performance and reliability in state machine replication across wide-area networks.

A look into how diffusion processes shape our world.

A new flexible method for mutation rates enhances evolutionary algorithms' effectiveness.

New methods improve solutions for complex equations using diffusion models.

A look into the significance and applications of nearly orthogonal sets of vectors.

Extending Sliced-Wasserstein distances to Cartan-Hadamard manifolds for improved data comparison.

Learn how researchers tackle the geometric knapsack problem with various shapes to maximize efficiency.

Explore methods for identifying stable sets within graph structures governed by matroid rules.

Learn how identifying codes help pinpoint faults in networked systems.

Improving computer programs for solving math word problems through better data examples.

A study on implicit automata and affine logic for string transformation.

A guide to identifying split and composite links using plat presentations.

New methods increase efficiency in analyzing subsequences across specified data ranges.

New method improves task scheduling efficiency on machines.

A fresh approach to enhance software performance through dynamic tuning methods.

A method for converting offline algorithms into online counterparts efficiently.

Explore the relationship between graph colorings and eigenvalues in mathematics.

A novel filter solution for efficient data handling and scalability.

This article examines nodal count and surplus in graphs with independent cycles.

Learn how PINNs combine deep learning with physics for efficient problem-solving.