Latest Articles for Computer Science

This article examines the difficulties in reversing generative models in AI.

A look into the structure and properties of doodles formed by circles.

Hyperbolic neural networks enhance tree structure representation in data science.

Strong minima ensure stability and uniqueness in optimization solutions across various fields.

Explore how red-black trees efficiently handle ordered sequences for parallel algorithms.

Thermodynamic Maps improve understanding of phase transitions in complex systems.

Exploring new methods in type theory for better programming practices.

Research develops methods to verify data integrity through agreement tests.

This study examines how deep learning models change during Neural Architecture Search.

Examining recent findings in tolerant testing of monotonicity, unateness, and juntas in functions.

Exploring new methods for communication safety in computer systems using session types.

Our new methods reduce memory usage in machine learning without losing accuracy.

Introducing SALSA-CLRS to improve algorithm evaluation using sparse graphs.

Reversible programming languages pave the way for efficient computing solutions and quantum technology.

Exploring a classical algorithm for optimizing graph problems.

New models enhance predictions for protein fitness and design.

An overview of stack-sorting methods and their practical applications in various fields.

Explore interval and multiple interval graphs and their significance in various fields.

Reversible computing aims to process information while minimizing energy use.

Discover the role of Paulian stabilizers in quantum error correction.

A look into how connectivity changes in networks through percolation theory.

This article discusses modern methods for minimizing energy in engineering systems.

A new method for approximating functions with singularities, ensuring accuracy and flexibility.

Recent findings reveal larger circuit requirements for certain computational problems.

Proposing a dynamic method for efficient leader selection in blockchain networks.

Examining ways to enhance Holophrasm's performance in mathematical theorem proving.

EfficientFormer improves computer Go performance using transformer architecture.

New method improves image understanding through better language and vision integration.

This study examines how to efficiently approximate query evaluations in probabilistic graphs.

Explore bipartite graphs, eigenvalues, and their role in coding theory.

New techniques simplify proving communication lower bounds in set-disjointness problems.

An open-source toolkit for efficient DNS measurement and research.

EndoNet automates H-score calculations for improved accuracy in tissue analysis.

A new approach to solving complex equations using physics-informed DeepONet technology.

Discover new methods enhancing graph learning through labeled and unlabeled data.

Explore innovative ways to define and verify while loops in Coq.

A study on the substitution lemma in lambda calculus with explicit substitutions.

A method for efficiently identifying maximal clique-partitions in graphs.

This study explores the relationship between graphs, crossings, and signed permutations.

A look into polynomial functors and their role in data types.