Computer Science

A new method enhances robot movement with human behavior insights.

New methods improve efficiency in handling complex language tasks.

VAPAAD enhances video prediction accuracy using attention mechanisms.

MMInA evaluates how well agents perform tasks across multiple websites.

Introducing a flexible framework for improved image and video generation control.

A new method improves how robots track objects in complex environments.

HyperMono enhances knowledge graph accuracy using two-stage reasoning and qualifier monotonicity.

Discover the unique properties and applications of stretchable hydrogels.

New dataset enhances image generation from complex news captions.

New methods improve efficiency in handling complex language tasks.

MMInA evaluates how well agents perform tasks across multiple websites.

Context plays a crucial role in assessing dialogue system performance.

A new benchmark assesses voice recognition systems' performance amidst various disturbances.

A study comparing the safety performance of popular language models.

Research shows how LLMs can clean data sets for summarization tasks.

A new training method enhances language model performance and user experience.

Examining methods to alter graphs into equal-sized cliques.

Research aims to estimate graphons while ensuring data privacy.

An exploration of Mario games' complexity and its ties to PSPACE-hardness.

This article highlights recent findings on circuit size limits in complexity theory.

Examining the relationship between Gödel's theorems and Turing's computation models.

This article examines the role of multiple counters in finite automata.

Explore the functional closure properties of finite weighted automata and their significance.

Learn how clock synchronization impacts the efficiency of distributed systems.

A new approach to detect spoofing in financial markets using machine learning and expert input.

Visibility maps enhance fire safety by ensuring clear exit paths during smoke conditions.

A dataset helping improve car design through detailed aerodynamic analysis.

Discover the uses and benefits of hydrogels across various fields.

New models enhance hydrogel simulations for bioprinting applications.

Approaches for providing electricity to underserved populations worldwide.

Examining blood vessel growth and its impact on cardiovascular health.

GradNav helps scientists study molecular behavior more efficiently.

Exploring the role and impact of pseudoline arrangements in mathematical theory.

Examining the complexities of packing unit squares into simple polygons.

This study examines methods to minimize crossings in ordered graphs using efficient algorithms.

New tools and techniques enhance the study of complex 4-manifolds.

A new method improves curve reconstruction from sparse samples on complex surfaces.

A look at crossing numbers and their implications in graph theory.

Discover the complexities of folding polyominoes into cubes and their mathematical significance.

A fresh approach improves comparison of persistence diagrams for data analysis.

A study examining centralization challenges in Proof-of-Stake bootstrapping methods.

This study addresses challenges in bidding strategies using artificial currencies.

A new approach for players in continuous-state partially-observable games using real-time strategies.

A look into strategies in reach-avoid games and the roles of pursuers and evaders.

Exploring how oracle models can improve decision-making under uncertainty.

A method promoting fairness among agents competing for limited resources.

A new approach to balance miners and users in blockchain transactions.

This auction model aims for fairness and efficiency in item sales.

Learn to classify objects using images and 3D point clouds without labels.

New dataset enhances image generation from complex news captions.

This paper highlights the importance of reproducibility in GeoAI studies.

VAPAAD enhances video prediction accuracy using attention mechanisms.

Using noisy pseudo boxes for better model selection in weakly supervised object localization.

A new model improves room layout accuracy from single images.

MMInA evaluates how well agents perform tasks across multiple websites.

The in2IN model enhances realistic human interactions in various fields.

Examining why granting rights to robots is problematic.

Assessing Wikipedia article quality using language-agnostic features.

Research highlights the importance of fairness in machine learning language representations.

A comprehensive look at the role and effectiveness of trigger warnings.

An overview of legal challenges in generative AI development and use.

Exploring methods to achieve fairness in classification systems without sacrificing performance.

A web-based platform enhances tabletop exercises for better learning in computing.

Examining the need for fair representation in redistricting through competitive districts.

A new algorithm enhances federated learning by addressing client diversity and efficiency.

Improving software security by detecting vulnerabilities before exploitation.

A method to protect data privacy in decentralized learning systems using virtual nodes.

A web-based platform enhances tabletop exercises for better learning in computing.

Measuring robustness and safety in cyber-physical systems under sensor threats.

An overview of residential proxies, their uses, and associated threats.

This research examines transaction data to assess the impact of exchanges on Polkadot.

Sisu offers a secure way to prove Ethereum full node legitimacy efficiently.

Examining methods to alter graphs into equal-sized cliques.

Algorithmic methods aim to ensure fair electoral representation.

Research aims to estimate graphons while ensuring data privacy.

Explore the role of essential vertices in solving graph-related optimization problems.

Strategies to minimize costs in online request delivery systems.

A new balanced method for efficient set reconciliation is presented.

Transfer learning uses knowledge from one area to improve tasks in another.

A look at how algorithms can respect data deletion requests while maintaining efficiency.

CLIMBER offers efficient and accurate similarity searches in large data series.

A new approach to sharing trajectory data while maintaining user privacy.

A new method enhances how users create spreadsheet formulas.

Data visualization simplifies data analysis and enhances decision-making for organizations.

A new method to identify meaningful patterns in complex data graphs.

Exploring how LLMs enhance graph data analysis and applications.

Learn about HTAP databases and their role in real-time data processing.

This study looks at using natural language for easier data visualization.

Researchers develop new ways to analyze web data from Common Crawl archives.

A practical approach to improve data handling in cultural heritage through CHAD-AP.

This study uses computational methods to analyze running titles in historical texts.

A new app helps those with epilepsy track and manage their health effectively.

A method to create machine-readable data before publication to improve research efficiency.

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.

Algorithmic methods aim to ensure fair electoral representation.

A new method helps robots determine their position using colored grids.

Examining difficulties in finding bases in labeled matroids based on abelian groups.

A new approach to rank preferences by emphasizing top choices.

Methods for robots to locate fast-moving targets with limited information.

A deep dive into listing signatures for XOR-CNF formulas and their complexities.

A look into how fire spreads across networks and its significance in social dynamics.

A new method improves efficiency in analyzing quantum states and holographic theories.

A new approach to enhance e-health through improved data management and patient privacy.

A new algorithm enhances federated learning by addressing client diversity and efficiency.

FastTuckerPlus speeds up sparse tensor analysis using local search and GPU technology.

Introducing FedFisher, an innovative algorithm for efficient federated learning.

A study on using quantum annealing for effective load balancing in computing systems.

A study examining centralization challenges in Proof-of-Stake bootstrapping methods.

A new method improves efficiency in handling requests for large language models.

A method to protect data privacy in decentralized learning systems using virtual nodes.

Examining the role of wireless technology and blockchain in enhancing the Metaverse experience.

Exploring the benefits and challenges of RSFQ systems in modern electronics.

Measuring robustness and safety in cyber-physical systems under sensor threats.

A new framework enhances model performance using synaptic delays in neuromorphic systems.

Exploring how quantum computing enhances scientific research efficiency and accuracy.

Quantum annealing shows promise in solving complex production scheduling challenges.

A look at how quantum and cloud computing connect for future innovations.

RAGAR combines text and images to improve political fact-checking.

A new method enhances RL agents' learning through structured rewards.

This article examines the role of multiple counters in finite automata.

Explore the role of tilde-isometric words in string transformations and their applications.

Explore the functional closure properties of finite weighted automata and their significance.

A deep dive into how synchronous algebras recognize automatic relations.

Exploring the efficient application of finite automata in recognizing graph patterns.

A new algorithm enhances the reachability problem in vector addition systems with states.

This study focuses on how robots can plan despite making mistakes.

A new system improves 3D motion capture from 2D video footage.

A new method improves curve reconstruction from sparse samples on complex surfaces.

A method for creating human movement in 3D environments based on text.

New methods improve NeRF speed and efficiency for mobile applications.

An overview of how holographic displays create realistic 3D images.

MoA innovates personalized image creation with a dual-pathway system for unique outputs.

A new method makes 3D anatomical learning accessible on mobile devices.

A method that simplifies and speeds up texture editing for images.

A new approach improves deep learning simulation in hardware design.

AERO improves SSD performance and lifespan through smarter erase operations.

New methods improve NeRF speed and efficiency for mobile applications.

Comparing AMD/Xilinx Versal ACAP and Intel Stratix 10 NX in deep learning tasks.

New computing approach boosts performance and efficiency in embedded systems.

Innovative approaches to enhance DRAM performance and security against RowHammer vulnerabilities.

TDRAM improves DRAM cache performance and energy efficiency.

NeuraChip improves efficiency in processing graph data for various applications.

Context plays a crucial role in assessing dialogue system performance.

Combining human insights with Bayesian methods improves engineering optimization outcomes.

A look into how visualizations can respond to user focus.

Exploring how collective memory of the Arab Spring varies in English and Arabic Wikipedia.

MathWriting boosts research in recognizing handwritten mathematical expressions with diverse samples.

A new tool for better understanding Parkinson's movements in daily life.

Study explores online robot interactions for children's mental health assessment.

Robots can learn tasks by observing humans, improving their memory and performance over time.

Context plays a crucial role in assessing dialogue system performance.

SFPNet offers context-aware recommendations for better online shopping experiences.

This article examines how query generation affects document retrievability scores.

New methods for improving table retrieval enhance accuracy in answering complex queries.

A new approach to malware behavior search enhances cybersecurity analysis.

A new approach to educational course recommendations focused on job market skills.

Research presents a method to improve disease spread modeling by transforming spatial models.

DPN enhances click-through rate prediction through user behavior modeling.

Exploring how molecular networks produce essential biological molecules.

This article examines RaS codes and their impact on communication systems.

FastqZip offers efficient storage solutions for the growing volume of genetic data.

Reconfigurable Intelligent Surfaces promise to redefine wireless networks and improve connectivity.

New methods enhance communication efficiency using multiple sensors.

New algorithms improve efficiency and accuracy in sparse signal recovery across various fields.

A new coding system enhances error correction in modern communication networks.

A look at emerging technologies for faster communication, focusing on mMIMO and RSMA.

This study focuses on monitoring complex system behaviors and relationships effectively.

Exploring the benefits and challenges of RSFQ systems in modern electronics.

Measuring robustness and safety in cyber-physical systems under sensor threats.

Examining the complexities of PCTL satisfiability in computer science.

Robots can learn tasks by observing humans, improving their memory and performance over time.

This article highlights recent findings on circuit size limits in complexity theory.

Fuzzy SIT enhances robot scene classification and adapts to noisy data.

Examining the relationship between Gödel's theorems and Turing's computation models.

New methods improve efficiency in handling complex language tasks.

A new approach to enhance e-health through improved data management and patient privacy.

This paper highlights the importance of reproducibility in GeoAI studies.

A new algorithm enhances federated learning by addressing client diversity and efficiency.

Using noisy pseudo boxes for better model selection in weakly supervised object localization.

A new method improves reconstruction from data using untrained neural networks.

Study highlights lightning risks for wind turbines and machine learning's role in predictions.

Introducing a flexible framework for improved image and video generation control.

CBC3D offers improved mesh generation for surgical planning and simulations.

GeoFlood helps predict water spread during floods, improving safety and preparedness.

SUGAR simplifies geometric algebra for engineers and mathematicians using Matlab.

Learn how Python aids in minimizing energy in complex systems.

A tool to generate and analyze synthetic sparse tensors in various fields.

Discover how LaSDI transforms complex simulations into efficient models.

Exploring PETScML's impact on scientific machine learning through second-order methods.

A novel technique accelerates the analysis of piecewise constant functions.

This study focuses on monitoring complex system behaviors and relationships effectively.

Two innovative techniques improve control of group dynamics in various settings.

RAGAR combines text and images to improve political fact-checking.

A framework to optimize computing resources for modern transportation systems.

A new approach for agent-based modeling safeguards individual privacy while maintaining data accuracy.

New simulation approach using learning agents reflects real market dynamics.

A system that simulates battles to reveal soldiers' experiences.

A new approach reduces coordination in multi-agent systems for better navigation.

New dataset enhances image generation from complex news captions.

A new method improves fact-checking of claims on social media.

Shotit enables users to find videos quickly using images, streamlining the search process.

A new framework for enhancing recommendations without prior data.

Pegasus-1 allows users to interact with videos using natural language.

GaussianTalker offers natural lip synchronization and high-quality visuals for talking head videos.

A new approach allows machines to identify comic characters without prior training.

Mimosa simplifies spatial audio creation for amateur video makers.

Researchers develop new ways to analyze web data from Common Crawl archives.

Examining the role of wireless technology and blockchain in enhancing the Metaverse experience.

This article discusses how edge intelligence improves services in Space-Air-Ground Integrated Networks.

A new machine learning approach enhances Uplink Control Information for better mobile communication.

A new system streamlines fault tolerance in in-network computing with user-friendly approaches.

A framework offers improved verification for data accuracy in self-driving cars.

A method that reduces energy use in decentralized learning for IoT devices.

ISAC networks are changing the landscape of wireless connectivity and sensing capabilities.

Research enhances decision-making efficiency and accuracy in spiking neural networks.

A new framework enhances model performance using synaptic delays in neuromorphic systems.

A new approach enhances efficiency in solving complex overlapping issues.

This study highlights the role of diversity in evolutionary algorithms for matching problems.

Explore the benefits and challenges of multi-objective optimization using NSGA-III.

This article examines how diversity influences genetic algorithm efficiency, especially in the LeadingOnes problem.

A new method aims to reduce bias in machine learning for evolving data streams.

Examining the effectiveness of self-adjusting algorithms for optimization problems.

A look at Riemannian Convex Bundle Method for complex optimization problems.

Recent models improve our understanding of fluid turbulence in natural and industrial systems.

A look at using P-ERK methods for efficient fluid dynamics solutions.

A look at how compact methods improve data fitting for large datasets.

Discover how mass lumping and outlier removal enhance isogeometric analysis efficiency.

A new method improves speed and memory use in solving elliptic PDEs.

Research presents a method to improve disease spread modeling by transforming spatial models.

This article discusses operator learning and its role in approximating complex models.

A new method to reduce data center memory costs effectively.

A new system improves function scheduling and resource management in serverless computing.

Berrify strengthens BPF security against Spectre vulnerabilities without sacrificing performance.

A new approach to caching offers better performance in dynamic environments.

A new technique for dynamic memory allocation improves efficiency in large language models.

Unikernels offer efficient solutions for Internet measurement, requiring fewer resources and quicker deployment.

A new system improves GPU checkpointing and restoration for enhanced performance.

ROSfs transforms data sharing among robots for enhanced teamwork.

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.

Explore performance modeling to enhance efficiency in multi-GPU machine learning training.

LLAMP assesses network latency tolerance for high-performance computing applications effectively.

Synthetic data provides cost-effective solutions while ensuring privacy and reducing bias.

New techniques reduce memory access and boost performance in deep learning models.

A new method improves machine learning training efficiency while protecting data privacy.

A look into network slicing and resource management in modern mobile networks.

A new system improves efficiency in analyzing graph data patterns.

New methods improve QR factorization for large, ill-conditioned matrices.

A new method enhances how users create spreadsheet formulas.

This article explores how invariants can improve smart contract security against attacks.

This research focuses on a new type system combining evaluation strategies in programming languages.

A new approach to error bounds using error credits for complex programs.

Learn the importance of validating distributed program traces against specifications.

Examining strategies to improve communication reliability between clients and servers.

A fresh perspective on memory models for better optimization in programming.

Exploring methods to assess program reliability on fast, small chips.

A new method enhances state estimation in robotics by improving handling of noise.

A new method enhances robot movement with human behavior insights.

A new method improves how robots track objects in complex environments.

New designs for robotic grippers allow for better handling of objects.

New method improves drone efficiency in search and coverage operations.

Study explores online robot interactions for children's mental health assessment.

Robots can learn tasks by observing humans, improving their memory and performance over time.

FoundationGrasp enhances robot grasping for everyday tasks.

Examining the hot streaks and hurdles faced by mid-career researchers.

A new method improves link prediction by addressing noisy and incomplete data.

Exploring how collective memory of the Arab Spring varies in English and Arabic Wikipedia.

A new method identifies unusual patterns in evolving networks to enhance anomaly detection.

This study explores machine learning methods for classifying different types of networks.

Koo connects users across languages, revealing unique interaction patterns.

This article examines the changing connections among Australian MP backgrounds from 1947 to 2019.

This article examines how LLMs can monitor critical infrastructure during disasters using social media data.

An overview of hybrid work and its connection to agile software practices.

Using LLMs to enhance mutation testing effectiveness and software quality.

A new tool offers flexible definitions of fairness for machine learning analysis.

A new dataset to improve code generation using visuals.

This article examines LLMs' role in fixing Alloy specifications.

Engaging students in Software Testing with Team-Based Learning and Open Source projects.

3DGen uses AI to turn informal data descriptions into secure code.

AID uses LLMs and differential testing to enhance bug detection in software.

A new benchmark assesses voice recognition systems' performance amidst various disturbances.

Exploring AI's role in shaping music through advanced techniques and structures.

A new method enhances speech model performance and efficiency in noisy environments.

A new method combines traditional techniques with neural networks for better sound localization.

A novel approach to enhance acoustic sensing without compromising audio quality.

A new system improves realistic gesture creation using only speech audio.

Notochord enhances real-time MIDI music creation using AI for richer performances.

A method for more intuitive control over singing voices using natural language prompts.

Exploring AI's role in shaping music through advanced techniques and structures.

Exploring total division in mathematical structures and its implications.

A new method enhances DAE regularization techniques for better efficiency and accuracy.

Introducing new methods to improve optical flow estimation using event-based cameras.

A new approach enhances the evaluation of dynamic relationships using Petri nets.

This paper presents a new sub-polyhedral domain for optimizing machine learning compilers.

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 new method enhances state estimation in robotics by improving handling of noise.

A new method enhances robot movement with human behavior insights.

New control method offers a realistic approach for improved system safety and efficiency.

Examining the role of grid-forming converters in maintaining electric grid stability.

New techniques aim to maintain safety in unpredictable control systems with limited data.

New method improves drone efficiency in search and coverage operations.

BEACON framework enhances the efficiency of safety verification in technology.

Exploring the benefits and challenges of RSFQ systems in modern electronics.