Computer Science

A new framework enhances data pruning by focusing on pre-trained models for molecular tasks.

This paper proposes new metrics for measuring disentanglement in complex data.

Research explores earth mounds' significance and impact on ecosystems.

A study on plant detection using innovative image analysis techniques.

A new approach combines variational inference and annealed importance sampling for data analysis.

New methods improve reinforcement learning resilience against adversarial input.

A new approach to enhance decoder models for different dialects.

Aryn transforms unstructured data into useful insights seamlessly.

This project enhances text correction in Bulgarian historical documents using OCR technology.

LongRecipe improves language models' understanding of long texts efficiently.

Innovative lightweight transducer enhances speech recognition efficiency and accuracy.

A look into the effectiveness of pipeline versus end-to-end systems in summarizing across languages.

A new approach to enhance decoder models for different dialects.

YA-TA offers personalized support for students and instructors in large classrooms.

Using AI to simulate data for analyzing emotional connections in mental health.

Combining SAM and MLLMs for better object localization in images.

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.

A look into how superposition enhances neural network efficiency and complexity handling.

This work establishes new lower bounds for circuit sizes in computational tasks.

Learn how Integer Linear Programming aids decision-making across various fields.

Examining the challenges and significance of the Subset Sum problem in computer science.

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.

Integrating design, manufacturing, and supply chain for efficient part production.

AI and mechanical simulation enhance architectural design speed and safety.

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 at how merge trees enhance our grasp of crystalline materials.

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.

Central planners can boost overall efficiency in multiagent systems with effective subsidies.

A new method improves decision-making in complex strategic games.

Examining the effects of Execution Tickets and Auctions on blockchain centralization.

EraseDraw allows natural object insertion into images using smart techniques.

Research explores earth mounds' significance and impact on ecosystems.

A study on plant detection using innovative image analysis techniques.

RevCD enhances zero-shot learning by linking visual and semantic information for unseen categories.

New methods improve image generation efficiency on limited devices.

TrackSSM enhances tracking accuracy for dynamic objects in various environments.

Attention models improve SAR target recognition accuracy and robustness.

A hybrid model effectively removes rain streaks from images using advanced techniques.

A study on Graphair's effectiveness in fair graph representations and link prediction.

Automation is reshaping how scientists conduct research and analyze data.

Study reveals significant inconsistencies in grading programming assignments among different evaluators.

A framework for lifelong learning using AI to personalize education.

A curriculum aimed at helping everyone understand AI and its societal impact.

Examining how AI can enhance the settlement experience for newcomers in Canada.

Discussing the benefits of sharing AV testing data for public safety.

Research reveals ways to spot users sharing false information on X.

Evaluating the hurdles organizations face when applying differential privacy in survey data.

NoPhish extension utilizes machine learning to combat phishing threats online.

Exploring how digital fingerprints impact privacy and security online.

A look into how VR apps handle user privacy and policy compliance.

Improving botnet detection methods through machine learning and adversarial defense strategies.

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

Learn how watermarking secures AI models and supports creators' rights.

A new method enhances federated learning's security by combating Byzantine attacks effectively.

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.

Examining ModPath and ModCycle problems in graph structures and their complexities.

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

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

A new approach to decision-making that emphasizes minimizing costs while achieving goals.

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

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 article examines the difficulties models face in handling enterprise data.

A new library enhancing information extraction in Python.

A new method enhances OLTP databases by reducing transaction conflicts.

Learn how to obtain reliable aggregation results despite data inconsistencies.

A new approach to enhance transportation systems using edge-based data management.

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.

A new approach enhances research clarity using cognitive knowledge graphs and language models.

Analyzing changes in research activities during the COVID-19 pandemic.

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.

A straightforward approach to predict the solubility of chemical compounds in water.

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.

A new method enhances federated learning's security by combating Byzantine attacks effectively.

Exploring machine learning techniques for efficient VLSI design partitioning.

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.

Discover how Layer Two solutions improve Bitcoin's transaction speed and efficiency.

A novel approach to track heart rates using neuromorphic technology.

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.

Exploring the challenges of hybrid games and the synthesis problem.

A look into monitoring techniques for reliable real-time system performance.

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 new method for accurate depth estimation from video sequences.

This study examines the creation of realistic chest X-rays through advanced machine learning techniques.

A new framework enhances motion generation for animations and virtual experiences.

A new tool helps users make sense of complex tree models.

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 framework enhances chip resilience against security threats through diversity.

This study explores the benefits of custom avatars in VR therapy for LGBTQ+ individuals.

Examining the challenges of bias in voice responses and user perspectives.

This article discusses a new method for selecting objects using sound and touch in XR.

A workshop discussing challenges and solutions for platform workers.

Exploring digital humans and haptic interfaces for immersive interactions.

Streamlined systems for improved interactions between humans and machines.

A new system improves accuracy in vehicle digital displays.

MITHOS enhances teachers' ability to manage classroom conflicts and emotions.

Aryn transforms unstructured data into useful insights seamlessly.

Examining the challenges of bias in voice responses and user perspectives.

This research enhances information retrieval systems by focusing on non-relevance.

Exploring fairness in online dating and job recommendation systems.

MARS improves item suggestions by focusing on detailed user preferences.

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

TRACE analyzes user actions to enhance travel shopping experiences.

A new approach enhances video alignment across large datasets.

A look into Lee distance codes and their role in error correction.

Learn effective strategies to enhance your Wordle gameplay.

TE-PWS enables precise evaluation of information flow in complex systems.

Research focuses on improving accuracy and efficiency in radio signal positioning.

This study investigates binary linear codes and their error-correcting capabilities using inclusion matrices.

Mobile Edge Generation enhances generative AI communication efficiency and content quality.

A new approach to enhance connectivity for multiple devices in challenging environments.

A look at combining sensing and communication technologies for better target detection.

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.

Exploring the Mason-Stothers Theorem and its significance in number theory.

A new framework enhances data pruning by focusing on pre-trained models for molecular tasks.

This paper proposes new metrics for measuring disentanglement in complex data.

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

Attention models improve SAR target recognition accuracy and robustness.

A new approach combines variational inference and annealed importance sampling for data analysis.

A study on Graphair's effectiveness in fair graph representations and link prediction.

New methods improve reinforcement learning resilience against adversarial input.

Utilizing hyperspectral imaging for efficient detection of crop diseases.

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.

Learn how the funnel method simplifies solving constrained optimization challenges.

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.

An overview of CTDE methods in multi-agent reinforcement learning.

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.

A new method enhances image quality during adverse weather using language and vision models.

This framework enhances multimedia app efficiency while protecting user privacy.

Learn how redundancy methods protect data from loss.

Assessing security risks in the Open Radio Access Network design.

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

A new approach optimizes wireless communication using Reconfigurable Intelligent Surfaces.

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

A new approach to enhance transportation systems using edge-based data management.

A practical approach to enhance ML models against adversarial inputs in network management.

Using digital twins to optimize roundabout traffic and improve vehicle communication.

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 model offers energy-efficient language processing for small devices.

SNNAX simplifies and accelerates the simulation of Spiking Neural Networks for researchers.

This article discusses using sound to help robots detect obstacles.

A new approach to quantify risks in systems with uncertain parameters using Gaussian mixtures.

An overview of how deep learning methods tackle differential equations.

A new method to compute proximal operators without sorting data for optimization.

Delay PDEs offer insights into systems affected by time lags across various fields.

Exploring the relationship between logarithmic energy and polynomial eigenvalue phenomena.

Neural networks enhance solutions for complex partial differential equations.

A data-driven approach to solving linear inverse problems using trained operators.

Learn how Gaussian processes address prediction uncertainty in machine learning.

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.

GPUVM enhances GPU memory management for faster data processing.

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.

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.

Exploring the shift toward GPU-centered methods for better computing performance.

Exploring how Starlink influences video streaming globally.

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.

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

Mixing binaries can cause bugs in concurrent programming, complicating software reliability.

Pawns merges programming styles for efficiency and clarity.

Learn why verifying software is crucial for reliability and user trust.

A novel approach improves drifting safety for self-driving cars using physics.

Discover how deep learning helps robots organize everyday items on tables.

A new software library aims to enhance Baxter's movement control in research applications.

A new system aims to enhance vehicle communication for better traffic management.

Discover how automation can improve drone cinematography for filmmakers.