Latest Articles for Computer Science

RC-NAS framework enhances deep learning models against adversarial attacks effectively.

Graphs model relationships and systems in various fields.

This article explores a new method for improving instruction fetching efficiency.

Learn how sketching helps manage large tensor data effectively.

Quantum computing advances demand effective testing and debugging for reliable software.

Takum numbers offer a better option for computer arithmetic, balancing small and large number efficiency.

A new method improves motion planning for self-driving cars using fluid dynamics.

Exploring Local SGD's strengths and weaknesses in diverse data environments.

This article discusses the relationship between learning quantum states and circuit efficiency in quantum computing.

MASSW dataset simplifies scientific workflows through AI-generated summaries.

Learn methods for quick answers to queries in semigroups and tree structures.

Learn how composition methods improve understanding in finite model theory.

An overview of solvable initial value problems and their significance.

New methods improve security in cryptographic systems using quantum mechanics.

Innovative strategies enhance material predictions using machine learning surrogates.

Evaluating pre-training methods for better machine learning performance in gaming.

A new approach to finding security flaws in processors using the Shesha framework.

A new method to simplify complex simulations using machine learning.

A new algorithm improves join query efficiency in databases.

Categories are key structures for organizing mathematical objects and their relationships.

A look at colax adjunctions, pseudomonads, and their applications in mathematics.

Explore the importance of graphs in science and mathematics.

New methods improve speed and efficiency in solving time-dependent equations.

Minimal Frame Averaging improves model efficiency and accuracy in machine learning.

Introducing MAP, an efficient way to merge multiple machine learning models.

New methods improve efficiency and accuracy in spectral density estimation for large graphs.

This study focuses on efficient methods for t-matchings in restricted graphs.

New methods improve efficiency in solving eigenvalue problems across scientific fields.

DLLM combines reinforcement learning with language models for better task performance.

Research on enhancing language models' efficiency using linear attention and speculative decoding.

A new algorithm enhances graph clustering by focusing on motifs.

A new digital signature system improves speed and security in data center applications.

Exploring new methods for better polynomial function approximations in various fields.

Learn how quantum edge detection can enhance understanding of complex quantum systems.

OSEDiff offers a new approach to enhancing real-world images efficiently.

Explore the concept of dicoloring and its significance in directed graphs.

This paper explores methods to compare multisets across various fields.

Evaluating how well language models perform research surveys across various academic fields.

An overview of multi-arity structures and their significance in logic and computation.

This article presents a method to simplify quantifier elimination in Presburger arithmetic.