Computer Science

A study on improving task allocation fairness for service providers and tasks.

A novel method improves blood sugar control for Type 1 diabetes using AI.

Examining how social learning can advance artificial intelligence toward human-like capabilities.

Explore how DETAIL enhances understanding of in-context learning in language models.

Introducing a novel approach to learning about geographical areas and their connections.

AutoLINC automates loss function design for better handling of class imbalance in machine learning.

A new method for assessing language models' alignment with human values.

A fresh look at how facts are stored in language models.

Explore how DETAIL enhances understanding of in-context learning in language models.

A new method for assessing language models' alignment with human values.

A fresh look at how facts are stored in language models.

Research shows simple classifiers can spot unique patterns in AI-generated text.

A new method enhances out-of-distribution detection for AI in math tasks.

This study investigates biases in vision-language models and ways to reduce their impact.

A dataset examining how cultural values shape AI responses to social issues.

Innovative model editing techniques offer safer language model outputs without extensive retraining.

A look into the challenges and solutions of the 2-means clustering problem.

This article highlights the difficulties in circuit extraction and diagram comparison in ZH calculus.

Examining K-Cores and degeneracy in graph streaming reveals significant complexity.

An overview of commutative and non-commutative CSPs and their implications.

Examining how quantum approaches can improve solving constraint satisfaction problems.

An overview of query complexity and its significance in computer science.

Investigating closed routes in graphs with specific visit constraints.

Learn how to compare phylogenetic networks using contractions and expansions.

Exploring how autonomous vehicles can safely integrate into busy airspace.

Researchers use deep learning to classify unique serotonergic neurons in the brain.

A methodical approach to minimize uncertainties in aircraft design through simulations and experiments.

Aiming for efficient energy management through smart grids and new technologies.

A look into how materials deform and strengthen at smaller scales.

An analysis of the evolving NFT market and its trading behaviors.

This study explores methods for improving anomaly detection in procurement transactions.

A new method combines technology for accurate carbon footprint calculation and understandable explanations.

A look into the challenges and solutions of the 2-means clustering problem.

A new framework blends TDA and optimal transport for matching data structures.

New method enhances efficiency in 3D printing of lattice structures.

New methods improve how we analyze complex graph data structures.

This study examines the complexities of guarding polygons with visibility restrictions.

Learn how spanners can maintain distance accuracy despite edge failures.

Investigating efficient methods for perfect matching in geometric settings.

A look into matchings, their types, and practical applications.

This paper presents Bayesian-CFR, enhancing decision-making in complex games with incomplete information.

New techniques improve envy-free cake-cutting among multiple participants.

An overview of behaviors in crowdsourcing communities and their impacts.

This study examines player behavior in blindfolded games using Thompson sampling.

RSD offers a fair way to assign resources based on preferences.

Exploring methods to fairly divide indivisible items among individuals.

This paper examines how distance influences voter satisfaction in committee selection.

This study analyzes how past choices reveal decision-makers' social welfare functions.

A new framework enhances federated learning and prevents forgetfulness in AI models.

Mamba-Ahnet improves medical image segmentation for accurate lesion detection.

PuTR offers a real-time solution for long-term object tracking in videos.

Addressing data augmentation issues for better performance in Vision Transformers.

A new approach improves the security of neural networks against adversarial examples.

SDF-Sim efficiently simulates rigid bodies in complex scenes using signed-distance functions.

This study investigates biases in vision-language models and ways to reduce their impact.

A look at new methods in brain MRI image registration for improved patient care.

Rising temperatures threaten health, especially among vulnerable groups in Austria.

Exploring capability sets to improve decision-making under uncertainty.

This article discusses the integration of AI into education and its implications.

Examining how privacy ads shape consumer attitudes and understanding.

A new approach to creating beginner-friendly programming problems that remain challenging.

Study reveals potential biases in AI decision-making for police intervention.

Examining fairness and ethics of how language models respond to users.

Exploring AI's role in Africa's fight against climate change challenges.

A major vulnerability in XMPU exposes sensitive data after process termination.

Exploring how Federated Learning can enhance data privacy in healthcare.

This study examines the weaknesses of SER models against adversarial attacks across languages.

A new approach to watermarking aims to enhance detection and prevent misuse of language models.

A framework to enhance firmware update management for smart inverters.

A method to secure neural networks against vulnerabilities in memory.

Examining how privacy ads shape consumer attitudes and understanding.

New framework helps protect sensitive summary statistics during data sharing.

A new approach to finding independent sets in graphs using any starting configuration.

Learn how to make better predictions and decisions by minimizing swap regret.

A look into the challenges and solutions of the 2-means clustering problem.

A new method significantly speeds up graphlet detection in complex networks.

Examining average sensitivity for better decision-making in resource allocation.

Examining K-Cores and degeneracy in graph streaming reveals significant complexity.

Learn about phylogenetic trees, their structure, and their significance in various fields.

A new method improves network predictions by examining node relationships through orbit adjacency.

GMASK offers a flexible solution for approximate similarity search across various datasets.

A study on common database access bugs and recommendations for developers.

A new B+-tree structure enhances data management in disaggregated memory systems.

Analyzing processes by examining high-level events offers valuable insights.

A dataset that simplifies querying Electronic Health Records through natural language.

A method that turns natural language questions into accurate SQL queries for complex databases.

LiveData offers solutions for effective and diverse data sharing across borders.

A new approach to clustering improves handling of tabular data.

A new web application aids reintegration for those released from prison.

Study assesses representation of biomedical topics in science maps.

Exploring the role of microservices in knowledge discovery for patent applications.

Discover how automated methods enhance the identification of valuable datasets from government portals.

A look at how databases categorize published research materials.

A study on how new ideas transform astronomical research through technology and collaboration.

A new system simplifies citation management for preprints, enhancing visibility and collaboration.

A new dataset sheds light on historical newspapers from Latin America.

A look into language patterns and their density in shift spaces.

A new approach to finding independent sets in graphs using any starting configuration.

Exploring the link between soft happy colouring and community detection in networks.

The Identity and Group Problems shape our understanding of matrix structures.

Examining the transition from general concept classes to extremal classes in data analysis.

An overview of important ideas within graph theory and their applications.

A look at the roles of injectivity and surjectivity in ReLU networks.

This research examines how episturmian morphisms affect return words in sequences.

New methods improve weather forecasts using data assimilation techniques.

A study on improving task allocation fairness for service providers and tasks.

A new framework enhances federated learning and prevents forgetfulness in AI models.

New enhancements to BIT1 improve plasma simulation performance using advanced computing techniques.

A novel approach improves performance and fairness in federated learning.

An overview of classical and quantum approaches to network reliability.

This article introduces a reliable logical clock system for managing events in distributed networks.

A new method improves response time in large language models without sacrificing quality.

Exploring Wireless Network-on-Chip and its potential with Time Reversal technology.

Exploring how autonomous vehicles can safely integrate into busy airspace.

ClimODE combines machine learning and physics for improved weather predictions.

TNGD combines digital and analog systems for efficient AI model training.

AnalogCoder makes analog circuit design easier and more accessible for everyone.

Discover how tensor networks can transform various industrial applications and optimize processes.

A new data-driven approach improves safety and efficiency in underground construction.

This article examines how quantum computing can enhance clinical trial design and outcomes.

The Identity and Group Problems shape our understanding of matrix structures.

Exploring bi-reachability challenges in Petri nets enhanced with data values.

A look at how UHAT models process data sequences effectively.

State space models offer efficient processing in natural language tasks, challenging traditional transformers.

Learn how game semantics clarifies program functions through interactive models.

Exploring the learning process and applications of deterministic finite automata.

A new framework leverages Reward Machines to enhance RL performance under uncertainty.

A look into the complexities of separating languages in Buchi VASS.

This paper presents new sampling methods for better generative model performance.

New methods improve realism in computer graphics light rendering.

A new system speeds up and simplifies the 3D modeling process.

New techniques offer improved control of soft body movements.

New methods improve texture compression for graphics efficiency and quality.

A new method enhances HDR image quality by restoring lost details in bright areas.

A new method enhances the quality of 3D shapes from 2D images.

A new approach enhances the consistency of normals in point clouds.

CXL memory boosts capacity and efficiency for demanding applications.

Examining the risks facing TEEs due to evolving attack methods.

New method speeds up Ising model simulations using advanced computing technology.

Efficient execution of transformer models on an open-source RISC-V platform.

A look at AIMC and DIMC for machine learning tasks.

Chiplets redefine computing power in modern vehicles, enhancing flexibility and efficiency.

Learn how chiplet technology is reshaping AI hardware design for better efficiency.

An analysis of the hardware requirements for efficiently running large language models.

Examining how technology can better express emotions in communication.

Study examines how vibrations influence our perception of touchscreen feedback.

An overview of behaviors in crowdsourcing communities and their impacts.

This article discusses the integration of AI into education and its implications.

A new approach improves classification of cognitive workload using fNIRS data.

Examining how privacy ads shape consumer attitudes and understanding.

This study compares how language models express uncertainty compared to human communication.

Examining fairness and ethics of how language models respond to users.

GMASK offers a flexible solution for approximate similarity search across various datasets.

A new approach uses LLMs to enhance user recommendations effectively.

This article discusses a flexible ranking method using multi-vector embeddings for better search results.

A new method enhances efficiency in document ranking tasks.

A new method to enhance query rewriting without labeled data.

LIFT improves user recommendations by considering both past and future behaviors.

A dataset that simplifies querying Electronic Health Records through natural language.

A new framework enhances the way researchers find and use academic knowledge.

New strategies improve channel estimation in BD-RIS, enhancing wireless communication.

A new scheduler improves communication in Industrial Internet of Things using reinforcement learning.

Learn about diploid genome assembly and the obstacles scientists face.

Learn how hidden Markov models and renewal processes aid in making accurate predictions.

Combining communication and sensing for smarter mobile networks.

A new method improves voter decision-making through adaptive questionnaires.

A study on hypergraphs with high girth and their link to coding theory.

Exploring the role of RIS in advancing wireless communication systems.

A method for verifying safety in self-driving cars and drones using neural networks.

Examining new developments in tools for verifying complex systems.

An overview of commutative and non-commutative CSPs and their implications.

An overview of composite theories and their significance in modern mathematics.

A new approach uses data to simplify the analysis of complex systems.

This article examines deep inference and sequent calculus in logical reasoning.

A look into how agents share and reason about knowledge.

Exploring bi-reachability challenges in Petri nets enhanced with data values.

New methods improve weather forecasts using data assimilation techniques.

A novel method improves blood sugar control for Type 1 diabetes using AI.

A new framework enhances federated learning and prevents forgetfulness in AI models.

Examining how social learning can advance artificial intelligence toward human-like capabilities.

A new method improves accuracy in nonlinear system modeling by addressing uncertainties.

Explore how DETAIL enhances understanding of in-context learning in language models.

Introducing a novel approach to learning about geographical areas and their connections.

AutoLINC automates loss function design for better handling of class imbalance in machine learning.

Research shows effective use of high-level languages for large integer operations on GPUs.

New algorithms enhance feature selection speed and accuracy in statistical models.

Revolutionizing the way we solve optimization challenges in multiple fields.

A computer program simulating fluid movement in porous materials for various research fields.

A look at modern methods in engineering design for efficiency and performance.

Hiperwalk aids researchers in simulating quantum walks on complex graphs, enhancing quantum studies.

A user-friendly tool for building Petri Nets and simulating complex systems.

DASTAC enhances tensor computations by combining dense and sparse techniques for efficiency.

Exploring how autonomous vehicles can safely integrate into busy airspace.

Exploring how machines can learn from each other through distributed continual learning.

A system to improve cultural representation in AI through simulated dialogues.

This paper examines how sensors enhance decisions despite incomplete data.

ReAd enhances robot teamwork by refining planning and feedback mechanisms.

Study reveals quick paths to efficient Nash equilibria in potential games.

Traffic Divergence Theory offers insights into managing network performance effectively.

Using electric vehicles to provide power to telecom base stations in outages.

A new audio codec offering high-quality compression and rich semantic content.

A study presents a new method for creating synchronized talking face videos.

Explore how large language models enhance creativity through multimedia generation.

Exploring the benefits of immersive 3D sketching for architects and designers.

Introducing a model that generates synchronized audio and video with mixed noise levels.

This article discusses a new simple model for generating audio from images and vice versa.

New techniques improve quality and training for 3D images.

NuNet uses RGB and depth data for better nutrition estimates.

Combining terrestrial and non-terrestrial networks to enhance connectivity and reduce energy use.

WPS can aid location services but threatens user privacy significantly.

A new approach to MAC address randomization improves user privacy on Wi-Fi.

A new platform enhancing data processing using smart NICs.

New methods are needed for efficient satellite communication in our connected world.

Traffic Divergence Theory offers insights into managing network performance effectively.

A comprehensive framework for analyzing XR performance in edge-assisted wireless networks.

HTTP Garden reveals critical issues in web server handling of HTTP/1.1 requests.

A look into how compositionality connects language, thought, and AI.

Combining representations in genetic programming leads to improved problem-solving.

MoEUT improves Universal Transformers' efficiency and performance in language tasks.

MLPs show surprising effectiveness in in-context learning, challenging views on model complexity.

A look into neuromorphic dreaming and its impact on AI efficiency.

ETNNs enhance complex data analysis through topological and geometric integration.

Transitioning from ECDF to EAF improves algorithm performance analysis.

This study explores how agents communicate through imitation of useful signals.

New model integrates thermal and mechanical effects in stereolithography.

A new method improves trajectory classification in Hamiltonian systems, enhancing efficiency and accuracy.

EIT offers a safer method for internal imaging using electrical currents.

A new method utilizes deep learning for complex mathematical equations in various fields.

Learn how to tackle time-dependent equations using decomposition and composition techniques.

New method enhances fluid movement modeling in complex underground environments.

New preconditioner improves fluid simulations in porous materials for various industries.

A method for solving complex equations in science and engineering.

ROSfs transforms data sharing among robots for enhanced teamwork.

A study on memory allocators and their impact on embedded system performance.

A new system enhances application performance and energy efficiency in heterogeneous processors.

Optimizing memory management for better performance in embedded systems.

A new model that helps cloud applications use serverless resources effectively.

A new system improves cloud performance and reduces costs by combining VMs and FaaS.

Exploring Rust's role in enhancing OS security and reliability.

MAARS framework enhances the security of timing-sensitive tasks in cyber-physical systems.

Examining the links between living brains and computer systems.

Innovative methods aim to improve parking management in busy cities.

A fresh approach offers deeper insights into cancer driver genes and their interactions.

Researchers create digital copies of animals for ethical and efficient studies.

Discover how DNA could change the future of data storage.

New enhancements to BIT1 improve plasma simulation performance using advanced computing techniques.

CXL memory boosts capacity and efficiency for demanding applications.

A flexible framework improves device placement in AI models for better performance.

A new platform enhancing data processing using smart NICs.

This study assesses GPU benefits for CFD simulations in terms of speed, power, and costs.

This article examines how data arrangement impacts program speed and efficiency.

Examining the security challenges and solutions for RIC in Open RAN networks.

Leveraging reinforcement learning to optimize job scheduling using Gittins index techniques.

New techniques improve envy-free cake-cutting among multiple participants.

Research shows effective use of high-level languages for large integer operations on GPUs.

Qwerty makes quantum programming more accessible and efficient for developers.

Innopolis University leads research on handling identifiers in programming languages.

A new algorithm improves code refinement using LLMs more efficiently.

Explore how parametricity and cohesion shape reliable type systems.

A practical approach to analyzing costs in data structures over time.

AbstractBeam enhances program synthesis, leveraging efficient code generation through Library Learning.

New system enhances accuracy in indoor positioning using light signals and sensors.

A study on robot design inspired by sea turtles enhances movement across various terrains.

Study examines how vibrations influence our perception of touchscreen feedback.

A new approach to robot navigation enhances human interactions.

New method enhances robots' ability to work safely alongside humans in real-time.

Exploring integrative methods for mobile manipulators in dynamic environments.

A new toolbox improves LiDAR segmentation for safer self-driving cars.

Using advanced sensors during training helps robots perform tasks better.

Analyzing edge significance improves overall communication in various network systems.

A new method improves network predictions by examining node relationships through orbit adjacency.

A study on how arguments are formed and interacted with in online forums.

This study examines major differences in settlement maps across three major datasets in Africa.

Analyzing human movement can improve city planning and transportation systems.

A new framework uses simulated comments to improve fake news detection.

DPHGNN enhances performance in hypergraph-related tasks using dual-layered learning.

Link2Doc enhances link prediction by merging text and graph structure.

Research identifies key factors influencing developer retention in open source projects.

Automated tools improve code quality and streamline the review process.

A new approach enhances the performance of code generated by large language models.

New system enhances academic searches using language models.

OptLLM aids users in choosing the best LLMs for budgets and tasks.

Examining key barriers to building an agile culture in organizations.

A study on common database access bugs and recommendations for developers.

This article discusses enhancing code completion tools by predicting developer needs for suggestions.

This study examines the weaknesses of SER models against adversarial attacks across languages.

SEANet improves speaker isolation by reducing noise in audio processing.

A new audio codec offering high-quality compression and rich semantic content.

A tool that combines audio and video analysis to identify events.

A method to measure how materials absorb sound effectively.

New methods improve speech clarity in hearing aids through deep learning techniques.

Learn about sound localization techniques and their uses in various fields.

New dataset and methods improve detection of ALM-generated audio deepfakes.

AutoLINC automates loss function design for better handling of class imbalance in machine learning.

A new method to improve predictive models using uncertain data.

A clear look into chemical reactions and their simulations, from basics to applications.

Combining NIDS with Neurosymbolic AI improves threat detection and system understanding.

A fresh approach to AI combines language models with symbolic programs for better interpretability.

This article presents a method to certify feasibility in semidefinite programming.

New AI models enhance reasoning skills using visual puzzles.

Examining the security of SHA-256 and recent collision finding techniques.

A look into chattering in control and its impact on system efficiency.

Exploring how autonomous vehicles can safely integrate into busy airspace.

A new approach to assess resilience in systems facing disturbances.

Study examines how vibrations influence our perception of touchscreen feedback.

A new method using reinforcement learning to improve energy trading strategies safely.

A method for verifying safety in self-driving cars and drones using neural networks.

A new approach to robot navigation enhances human interactions.

A framework to enhance firmware update management for smart inverters.