Latest Articles for Computer Science

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.

A look at the discrete Gaussian and its applications in various fields.

BEATS enhances LLMs' ability to solve math problems clearly and accurately.

An overview of how quantum algorithms efficiently handle oracle problems.

Exploring the structure and significance of random trees in various fields.

A new method for breaking down algebraic sets into equidimensional parts using Gröbner bases.

PocketFlow enhances protein pocket design using protein-ligand interaction knowledge.

A new approach to graph homomorphisms sheds light on complex problems.

A method to improve data management in training large language models.

An overview of chromatic polynomials and their significance in graph theory.

An overview of finite automata, focusing on states, transitions, and reachability.

Introducing a new method to manage FIB tables for improved network efficiency.

BiRNA-BERT improves RNA sequence analysis using dual tokenization methods.

An overview of root systems and their role in mathematics and beyond.