Computer Science

This paper reviews the role of deep learning in STELF accuracy.

New system tracks electricity prices in real-time to aid consumer decisions.

New models improve accuracy in detecting depression via voice recordings.

New framework improves automatic data extraction from various chart types.

AI tool simplifies the chart creation process for data analysts.

An overview of the UCB algorithm and its stability in data collection.

A new method improves keyword spotting accuracy using unlabeled audio data.

A look at new methods for predicting future events using historical data.

Study reveals benefits of connecting understanding and language generation in AI.

Nexus combines efficiency, specialization, and adaptability in language model development.

Examining biases in large language models when analyzing political statements.

Researchers create LibriheavyMix to improve speech recognition in noisy environments.

This article examines how LLMs impact decision-making in investments and insurance.

This system helps researchers find and organize scientific information more effectively.

A new system enhances extractive summarization using Large Language Models.

Research on training language models for underrepresented languages efficiently.

A look at simplicial complexes and their applications in mathematics and decision-making.

A look into quantum computing's role in decision-making with altered data.

Learn how quantum methods can improve path counting in directed graphs.

This research examines quantum entanglement classification using algebraic geometry tools.

Exploring advanced one-way functions to secure data against quantum threats.

This study enhances job scheduling methods considering setup times to improve efficiency.

Research on local list-decoding reveals new insights into reliable message transmission.

Introducing a framework for analyzing direct sum questions in complexity theory.

New dataset enhances automotive aerodynamics research and design efficiency.

This study introduces a new model for smart beams using nonlocal interactions and piezoelectric materials.

Analyzing the behavior of concrete beams under extreme fire conditions.

SINDyG improves understanding of complex systems through better network modeling.

Innovative method enhances beam analysis efficiency and accuracy.

Researchers use data-driven methods to improve hydrogen combustion modeling.

Using deep neural networks to enhance collision detection in advanced manufacturing techniques.

New GPU methods speed up pangenome analysis, enhancing genetic research.

A new approach using Cayley coordinates enhances volume calculations in molecular science.

A look into optimizing routes for watchmen to ensure complete area coverage.

Discovering new methods for creating 3D shapes from cross-sections.

This article explores the concept and applications of weakly leveled planar drawings.

New methods enhance clarity in storyline drawings by minimizing curve crossings.

Learn about the construction and significance of monotone arc diagrams in graph representation.

Learn how graph morphing transforms visual representations seamlessly while maintaining clarity.

A new barcode method enhances data analysis by capturing geometric features.

Exploring how collaboration can improve outcomes in congestion games.

A look into the dynamics of matching markets and their implications.

Examining the vulnerabilities of navigational recommendation systems and how to enhance safety.

A study on enhancing navigational recommendations for better urban driving experiences.

Exploring the intersection of human feedback and multi-agent systems for better collaboration.

A look at how players adapt strategies in competitive scenarios.

Using a manager to guide AI agents leads to improved teamwork and results.

Understanding fair division methods and their importance in society.

A new method locates video events using large pre-trained models without specific training.

A novel approach enhances video understanding using fewer resources.

A study on VLM4Bio dataset's role in analyzing biodiversity through images.

Examining bias in foundation models and their impact on medical imaging outcomes.

This study explores fairness in chest X-ray analysis without demographic details.

New framework improves automatic data extraction from various chart types.

ResEmoteNet improves how machines read facial expressions for various applications.

TEDRA allows users to edit 3D avatars using simple text instructions.

An in-depth look at how Wikipedia handles sensitive subjects.

VIRIS helps assess and reduce airborne disease risks in indoor spaces.

A framework to improve expert contributions in agent-based models.

Examining societal bias in Chinese language models and search engines.

Examining how AUPs shape the foundation model landscape.

Our ranking system uses real outcomes to better evaluate law firm performance.

This article analyzes how language models create realistic social networks and their biases.

Interoperability is crucial for collaboration and efficiency across various fields.

A look into the effectiveness and limitations of CCMMs for organizations.

A novel approach to safeguard sensitive data through collaborative encryption methods.

New techniques improve efficiency in addressing the Subset Sum challenge.

This article discusses the evaluation of LLMs in secure coding practices.

This research evaluates BGP security measures against various attacks.

A new method improves DNN security without clean data.

Exploring the nuances of code-based digital signatures and their importance.

A look at federated analysis and privacy technologies for sensitive data.

New techniques improve efficiency in addressing the Subset Sum challenge.

New methods improve tensor completion accuracy with fewer samples.

Learn how quantum methods can improve path counting in directed graphs.

A look at improved techniques for identifying changes in various systems.

A look into the methods for making graphs bipartite.

New approaches improve extraction of expressions from e-graphs using circuit simplification.

New GPU methods speed up pangenome analysis, enhancing genetic research.

Explore the concepts, properties, and transformations of circular-arc graphs.

Learn the requirements for submitting your research to NeurIPS 2024.

Analyzing how music recommendations affect local artist representation across different platforms.

OpenFGL offers a comprehensive framework to evaluate federated graph learning methods effectively.

Examining the importance of data sharing while ensuring privacy protections.

A new method for better database query performance using indexing techniques.

A new method enhances the speed and accuracy of querying sensor data.

Aryn transforms unstructured data into useful insights seamlessly.

Analyzing the evolution and limitations of graph query languages like SQL/PGQ and GQL.

A new method improves parsing of complex historical documents.

This study examines how language models enhance OCR outputs for historical newspapers.

This study examines the effectiveness of LLMs in musicology and their reliability.

This project enhances text correction in Bulgarian historical documents using OCR technology.

A new model improves how researchers manage citations and scholarly articles.

KOSs organize research information, aiding quick retrieval and management.

Exploring how author rankings can improve peer review quality in research.

WISDOM helps identify and track new research themes in science and technology.

Explore the structure and applications of 2-quasi best match graphs in biology.

Understanding key concepts for monitoring connections in oriented graphs.

New findings reveal lower cop numbers needed for capturing robbers in string graphs.

New dataset ORBITAAL provides a detailed look at Bitcoin transactions from 2009 to 2021.

Analyzing complex relationships in hypergraphs using simplicial ratios and matrices.

Exploring hypergraphs to understand event relationships and causality.

An exploration of strategies and dynamics in turn-based shooting games.

Learn about the construction and significance of monotone arc diagrams in graph representation.

New methods enhance the efficiency and accuracy of weather predictions.

This article discusses the evaluation of LLMs in secure coding practices.

Discover how Monadring revolutionizes transaction efficiency in blockchain.

Innovative solution improves healthcare data management and privacy using advanced technologies.

FPDT offers a solution for training long-context LLMs more efficiently.

Exploring the rise of AI tools and their impact on technology.

A comprehensive tool for evaluating high-performance computing systems.

New GPU methods speed up pangenome analysis, enhancing genetic research.

New method enhances image generation quality with quantum technology.

An innovative approach to compress advanced models efficiently without losing performance.

Streamlined systems for improved interactions between humans and machines.

New methods enhance video transmission by predicting missing data effectively.

Researchers improve optical neural networks with ternary weights, enhancing performance and efficiency.

Acoustic levitation presents a new method for effective oil spill containment.

A safety framework ensures responsible behavior in embodied AI systems through structured processes.

This article explores fast adaptation techniques for deep learning in wireless systems.

Learn how configuration monitoring reveals system settings through behavior analysis.

A new method improves process models by incorporating expert rules.

Streamlined systems for improved interactions between humans and machines.

This article explores how attractors influence system behavior over time.

Discover how stochastic L-systems simulate realistic plant growth patterns.

Learn about tree transducers, their types, features, and applications in data processing.

New techniques enhance offline learning for Regular Decision Processes in complex environments.

Discover the role of QuAK in assessing system performance and safety.

Study investigates realism in virtual human emotion animations.

WebCrowds offers insights into crowd behavior for effective emergency management.

A new method enhances 3D scene style transfer using Gaussian Splatting.

A new method for creating textures directly on 3D surfaces, avoiding common issues.

Using deep neural networks to enhance collision detection in advanced manufacturing techniques.

MAPWise dataset challenges models on map-based questions and evaluates their reasoning skills.

A new method for visualizing large datasets improves speed and quality.

A new method improves shadow detection without extensive data labeling.

Intel's Loihi-2 chip enhances sensor fusion with speed and efficiency.

A new method enhances data address translation for better system efficiency.

A new framework enhances neural network processing for scientific research.

A comprehensive tool for evaluating high-performance computing systems.

Discover the potential of TimeFloats for efficient edge learning and energy savings.

Exploring machine learning techniques for efficient VLSI design partitioning.

AIvril enhances RTL code generation through automated syntax checking and functional verification.

Learn how hidden triggers can manipulate language models and pose serious risks.

DrowzEE-G-Mamba uses brain data to enhance driver safety by monitoring drowsiness.

AI tool simplifies the chart creation process for data analysts.

An in-depth look at how Wikipedia handles sensitive subjects.

This article discusses improving data visualization for individuals with IDD.

A new scale helps assess robot transparency for better user interaction.

Learn how to create effective visuals for statistical model checks.

Study reveals the impact of verbal and nonverbal cues in user interactions with VAs.

Analyzing how music recommendations affect local artist representation across different platforms.

This system helps researchers find and organize scientific information more effectively.

Exploring how song lyrics influence emotions, especially in those at risk for depression.

A new system optimizes AI responses for legal fields, focusing on New York City's Local Law 144.

New models improve efficiency in retrieving information across various languages.

Learn how hott items enhance online recommendation systems for better user experiences.

Analyzing the impact of text normalization on classifying medieval charters.

Analyzing how music recommendations affect local artist representation across different platforms.

Exploring new methods for improving passage retrieval with a large-scale test collection.

A look into how computers maintain accuracy despite component failures.

Learn how unsourced random access could transform wireless networks.

A new method enhances UAV communication by refining link state maps.

This paper investigates the sudden shift in learning ability of neural networks.

A look into binary shadow codes and their role in data transmission.

Research focuses on improving quantum codes for better error protection and efficiency.

A look into how quantum properties enhance machine learning techniques.

This study examines how melody varies and connects across different cultures.

A look into proof theory and its significance in mathematics.

A new method improves the reliability of large language models' answers.

Learn how YORO improves procedural content generation in gaming.

A simple guide to well-filtered dcpos and their properties.

An overview of Boolean functions and modal logic in reasoning systems.

Exploring hypergraphs to understand event relationships and causality.

Learn how LE- logic improves knowledge representation and query answering.

This paper discusses automated methods for transforming complex nonlinear optimization models into linear forms.

An exploration of the intricate training processes in two-layer narrow neural networks.

This paper reviews the role of deep learning in STELF accuracy.

A new method for comparing complex data structures in graphs and networks.

Exploring L-NODEC for better stability in control strategies.

A new method enhances traffic forecasting accuracy through data decomposition and neural networks.

New system tracks electricity prices in real-time to aid consumer decisions.

Researchers utilize machine learning to enhance protein stability predictions.

Learn the requirements for submitting your research to NeurIPS 2024.

ideal.II makes using space-time methods in deal.II easier for engineers and scientists.

A new tool to improve predictions using deep learning and data assimilation techniques.

Analyzing the partitioning of a sphere into equal areas and its applications.

PySLSQP simplifies nonlinear programming with real-time visualization and automatic derivatives.

A new library enhances MPPI algorithms for robotics applications.

A new library improves methods for handling complex multiobjective optimization problems.

A new framework combines machine learning and PDEs for efficient scientific modeling.

Learn how quantum emulators advance research and explore algorithm performance.

VIRIS helps assess and reduce airborne disease risks in indoor spaces.

A framework to improve expert contributions in agent-based models.

MAPF-GPT offers an innovative approach to solving multi-agent pathfinding challenges using machine learning.

Exploring key factors that sustain social movements over time.

A new method to simplify simulations in agent-based models by combining similar agents.

Exploring the intersection of human feedback and multi-agent systems for better collaboration.

A new approach to enhance AI search engines for better user interaction.

Study reveals how LLMs create social rules through dialogue in simulations.

Kangaroo improves video analysis by integrating visuals, sounds, and text effectively.

This paper presents a single-encoder model for improved image segmentation based on text descriptions.

New methods improve voice separation in noisy environments.

A new framework enhances image captioning accuracy and reduces errors.

Improving how machines assist users through better interaction and response measures.

Exploring digital humans and haptic interfaces for immersive interactions.

New methods enhance video transmission by predicting missing data effectively.

A framework for real-time music adjustment in games and films.

Exploring the benefits and challenges of integrating NTNs and O-RAN in 5G.

Quantum networks promise faster and more secure communication through advanced technology.

Innovative solution improves healthcare data management and privacy using advanced technologies.

New routing protocol enhances underwater communication for monitoring and research.

5G technology boosts industrial efficiency, but security challenges loom.

AdapShare enhances spectrum management for modern communication networks.

GRLinQ enhances direct device communication using machine learning techniques.

A new framework balances eMBB and URLLC services for better performance.

Explore the complex journey of how we see colors.

Exploring polynomial neural networks and their applications in various fields.

Discover how neuromorphic computing mimics brain learning for efficient machine intelligence.

Innovative architecture enhances efficiency in deep learning through optical computation.

A new model improves accuracy of wind speed predictions in challenging landscapes.

Examining how SNNs compare to ANNs in energy consumption.

Analyzing the impact of quaternion-based components on image classification performance.

ART simplifies deep learning model development with structured steps and debugging tools.

A hybrid approach improves wave equation computations in various fields.

New methods enhance the efficiency and accuracy of weather predictions.

Researchers develop a method to find governing equations from noisy data.

Improving Helmholtz equation solutions with multipreconditioning and sweeping methods.

This study introduces a new model for smart beams using nonlocal interactions and piezoelectric materials.

ideal.II makes using space-time methods in deal.II easier for engineers and scientists.

Innovative method enhances beam analysis efficiency and accuracy.

A look into weight transfer techniques and their impact on neural network training.

A new split OS design enhances cloud application performance and resource management.

Learn how explicit speculation boosts storage efficiency in applications.

CyberCortex.AI revolutionizes robot communication and efficiency in various fields.

FlexBSO enhances virtual storage efficiency, flexibility, and performance using advanced SmartNIC technology.

A look into memory allocation strategies and their importance in system efficiency.

A new approach to safeguarding system logs from unauthorized access and tampering.

A detailed look at CXL memory performance and optimization techniques.

A look at FIFO and Round Robin scheduling methods in computing systems.

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 methods enhance the efficiency and accuracy of weather predictions.

TINA makes signal processing easier on neural network hardware.

A comprehensive tool for evaluating high-performance computing systems.

A new method helps identify performance issues in complex software systems.

DiOMP combines PGAS and OpenMP for efficient distributed systems programming.

This article examines AI's growing energy needs and its implications for power systems.

Analyzing energy consumption in supercomputers for enhanced efficiency.

Inf-MLLM enhances efficiency in handling complex data streams with limited resources.

Exploring new methods for efficient program generation.

A new method improves grammar inference for programming languages with better accuracy and readability.

An overview of techniques to check if numbers are divisible by three using miniKanren.

Exploring methods to protect information through cryptographic systems.

This study assesses large language models in Romanian programming challenges.

Enhancing code generation by integrating programming context for better accuracy.

Examining LLMs for generating audio programming code using visual languages.

A system for recording and replaying actions in WebAssembly apps.

Research highlights the impact of muscle adaptability in biohybrid robots using reinforcement learning.

Robots learn tasks faster through in-context imitation learning.

This approach improves efficiency and adaptability in planning under uncertainty.

DeMoBot enables robots to learn tasks with minimal demonstrations for better object manipulation.

Gen-Swarms transforms drone shows by automating stunning aerial displays with smart technology.