Computer Science

A new method for reducing complex graphs while retaining key features for classification.

PINNs merge physics with data to solve complex scientific problems efficiently.

Study reveals cheaper models may produce better training data for reasoning tasks.

A new approach enhances language model responses and reduces overfitting.

A new framework enhances medical images by using local anatomical information for better diagnosis.

New models improve efficiency in retrieving information across various languages.

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

Combining Tsetlin machines and hyperdimensional vectors for efficient data handling.

This article explores methods for improving text-to-speech systems for underrepresented languages.

A look at the challenges of offensive content on TikTok and solutions.

A new framework enhances image captioning accuracy and reduces errors.

Examining how LLMs shape language and culture today.

Study reveals cheaper models may produce better training data for reasoning tasks.

New models improve efficiency in retrieving information across various languages.

Language models improve dialogue in complex gaming settings.

CNIMA assesses conversational skills for learners of Chinese as a second language.

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.

Explore essential measures for comparing quantum states in quantum computing.

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.

InvariantStock offers stable stock predictions in changing market conditions.

A new AI method simplifies chip layout creation with fewer resources.

A digital twin model aims to improve response to airborne contaminants in cities.

MarS leverages generative models to simulate realistic financial market scenarios.

Innovative techniques improve efficiency in studying hyperelastic materials and their applications.

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 bifiltrations for improved data analysis and outlier management.

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.

Revolutionary strategies for effective matching in decentralized markets without preference knowledge.

A new approach enhances image quality in multimodal VAEs using diffusion decoders.

A new approach to improve fairness and accuracy in facial recognition.

A new method enhances video generation quality and efficiency.

A new method improves precision in localized image edits using diffusion models.

A new framework enhances image captioning accuracy and reduces errors.

PromptSmooth improves Med-VLMs' accuracy against adversarial attacks efficiently.

A new method for accurate urban scene reconstruction to enhance self-driving safety.

A new approach enhances video data handling while maintaining performance in real-time applications.

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 web platform for private data analysis in health and genomics.

This article discusses ethical issues in computer vision, focusing on privacy and bias.

Examining yellow severity issues in Oralytics and MiWaves trials.

Clear AI explanations build trust and ensure responsible use in various fields.

Data preparation in machine learning can impact the explainability of medical decisions.

PromptSmooth improves Med-VLMs' accuracy against adversarial attacks efficiently.

Modifications to MOTION2NX improve efficiency and security in image inference tasks.

Analyzing how privacy standards influence data collection through web forms.

This article discusses ethical issues in computer vision, focusing on privacy and bias.

A study on improving tools for junior developers to address security issues.

This article explores deep learning approaches to detect intrusions in Software Defined Networks.

Exploring methods to protect information through cryptographic systems.

A new method improves detection of advanced persistent threats using machine learning.

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.

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

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 framework for multilevel verification to improve data security in decentralized systems.

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.

Learn how metadata-lakes streamline access to research data and improve management.

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.

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.

Ranking aggregation helps combine preferences for better decision making across various fields.

A study on error recovery and memory-efficient algorithms for anonymous dynamic networks.

Strategies to handle timing issues in periodic task scheduling.

New methods enhance bug detection in distributed systems using reinforcement learning techniques.

Learn about different consistency levels in distributed systems and their impact.

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.

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.

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

A new method combines 2D and 3D for realistic human videos.

Using neural networks to improve the design of 3D-printed shells for better performance.

Exploring shadow detection, removal, and generation in computer vision.

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.

Research reveals methods to protect against side-channel attacks on FPGAs.

RTLRewriter enhances RTL code optimization, making digital circuit design more efficient.

A new method enhances hardware decompilation by recovering registers and memory blocks.

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.

Understanding how emotions affect online interactions and conversations.

This system aids thinking and decision-making through structured reasoning.

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

A project merging traditional Thai dance with artificial intelligence for new cultural expressions.

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.

New models improve product suggestions based on user behavior.

A Python library that streamlines the use of various ranking methods in information retrieval.

A new dataset enhances understanding of user intent in search queries.

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.

This article discusses a new method to protect personal data while maintaining its usefulness.

GRLinQ enhances direct device communication using machine learning techniques.

Explore how scout particles enhance tracking and estimation in dynamic systems.

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

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.

A new method enhances the performance of Bayesian neural networks through symmetrization.

This article explores methods for improving text-to-speech systems for underrepresented languages.

A new approach enhances image quality in multimodal VAEs using diffusion decoders.

A new method enhances neural networks for solving complex physics equations.

Collaborative robots enhance productivity in manufacturing through efficient machine tending.

A look into the evolving field of topological deep learning models and their strengths.

A new method for reducing complex graphs while retaining key features for classification.

A new method improves precision in localized image edits using diffusion models.

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.

Forester simplifies machine learning for R users with a user-friendly package.

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.

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

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

Research reveals planning is the key challenge for web agents' effectiveness.

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.

MRDAC improves face video quality and compression using multiple reference frames.

Researchers explore ultrasonic echoes for accurate distance measurements in quiet indoor settings.

Exploring shadow detection, removal, and generation in computer vision.

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.

A look at the Prioritized Information Bottleneck framework for efficient video processing.

A new method improves detection of advanced persistent threats using machine learning.

A new method optimizes channel estimation for better data transmission in dynamic networks.

Learn how the PIB framework enhances video analytics for smarter processing.

Learn how redundancy methods protect data from loss.

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

Exploring continuous learning in neural networks through the Neural Tangent Ensemble.

A new method improves signal separation efficiency in various applications.

A new simulator evolves agents capable of culture and reasoning.

Participants tackled complex robotics tasks at the AI Olympics using advanced techniques.

Introducing new quantum neural networks that adapt and learn from changing data.

A new framework boosts remote sensing efficiency using brain-inspired techniques.

A novel approach enhances solving complex optimization challenges with discrete and continuous variables.

A new method enhances neural networks for solving complex physics equations.

New methods improve medical imaging accuracy through better image registration techniques.

Exploring the relationship between transformers and splines in AI.

New methods enhance data modeling through weighted pseudoinverses and efficient algorithms.

A method for risk-neutral optimization in uncertain environments.

Explore how DC-DC converters ensure stable power in electronic systems.

Innovative techniques for simulating open quantum systems using the Lindblad equation.

Combining Parareal and neural networks offers a quicker way to solve ODEs.

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.

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.

A new method predicts DNN performance on various hardware quickly and accurately.

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.

A novel approach to optimize points-to analysis, balancing speed and accuracy.

Collaborative robots enhance productivity in manufacturing through efficient machine tending.

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

A system to test robot scheduling algorithms in dynamic environments.

Pepper's upgraded hardware and software boost its ability to understand and respond to people.