Computer Science

Research focuses on improving brain model accuracy through innovative simulation techniques.

A new method to evaluate storytelling quality in machines is introduced.

A fresh approach to decentralized systems that enhances agent collaboration and decision-making.

A new method improves part discovery in images using transformers.

A look at the efficiency of GPT and RETRO in adapting language models with PEFT and RAG.

LayerShuffle enhances the robustness of neural networks by enabling flexible layer execution.

A new method enhances molecular discovery using evolutionary algorithms and language models.

This study evaluates biases in LLMs during strategic games like Stag Hunt.

A novel approach enhances example retrieval for large language models.

A new method to evaluate storytelling quality in machines is introduced.

A new method improves NLP models by focusing on syntactic transformations.

A look at the efficiency of GPT and RETRO in adapting language models with PEFT and RAG.

This study evaluates biases in LLMs during strategic games like Stag Hunt.

Language models aid doctors in classifying and utilizing medical evidence efficiently.

This study focuses on reducing gender bias in AI language models through inclusive language.

This study addresses the issues with SLU systems and their ability to generalise.

This article examines how social hierarchies form between competing groups.

A strategy game where players program workers to reach their jobs amidst obstacles.

Explore the complexities of counting induced subgraphs in various graph properties.

This article discusses deducibility in the Lambek calculus and its complexities.

A deep dive into the behavior of Boolean functions and their approximate degrees.

An overview of graph polynomials and their relevance in various fields.

Exploring strategies for multiplying Boolean matrices using different formulas.

An overview of algorithms and their limitations in constraint satisfaction problems.

Research focuses on improving brain model accuracy through innovative simulation techniques.

A new framework enhances predictive modeling by integrating sensor and simulation data.

A new method uses deep learning for improved monitoring of structures.

Investigating how groups focus their attention in shared experiences.

A new tool improves speed and accuracy in analog circuit design.

TeVAE model efficiently identifies anomalies in vehicle powertrain tests using time-series data.

A competition focuses on using ML for airfoil design simulations.

This method enhances shape representation and performance prediction in design.

A new algorithm speeds up Fréchet distance computations for better curve similarity analysis.

Learn how bifiltrations enhance data analysis by examining two parameters simultaneously.

This article discusses the significance of crossing numbers and ratios in graph theory.

Examining Cech persistence diagrams for better data analysis and machine learning applications.

Combining k-center and k-median for advanced data analysis.

A new method improves matching of non-rigid 3D shapes amid noise and distortions.

A look at disk graphs and their role in complex networks.

New algorithm improves bipartization solutions in disk graphs.

A method to maximize value in agent-item matching by analyzing preferences.

A new method combines ads and answers to enhance online search.

This study evaluates biases in LLMs during strategic games like Stag Hunt.

Study reveals methods for stable assignments in agent placement scenarios.

Methods to allocate indivisible goods fairly and reduce envy among participants.

Learn how sellers can price their data for various buyers.

This article explores the challenges of achieving fairness in machine learning across different demographic groups.

A study on mechanisms for efficient facility location considering user preferences.

Improving object detection in microscopic images with fewer labeled samples.

A new method to evaluate storytelling quality in machines is introduced.

A new method improves part discovery in images using transformers.

An overview of inverse problems and methods for accurate reconstructions.

LayerShuffle enhances the robustness of neural networks by enabling flexible layer execution.

A new framework boosts model performance with limited data.

Learn how to enhance infrared images for better pedestrian detection in self-driving cars.

A new method for improving point cloud modeling is proposed.

Improving how individuals access and manage their personal data.

Twitch is changing how politics is discussed and engaged with online.

A new method improves the accuracy of AI models in medical diagnosis.

Analyzing public feelings on parking through online reviews across U.S. cities.

Analyzing how social media shapes climate change discourse.

Exploring the risks and implications of replication in visual diffusion model technology.

Awareness and concerns about deepfakes grow amid rising technology advancements.

Investigating how groups focus their attention in shared experiences.

Exploring the impact of blockchain on Public Key Infrastructure.

Examine security challenges with open-source software, especially in the Go programming language.

Examine various jailbreak attacks on language models and their defenses.

Exploring threats to DRL systems in cyber-physical energy management.

A look into the MiniFS file system and its security concerns.

A method for securing images through advanced encryption techniques.

Learn how to secure CSV data with digital signatures.

Exploring the importance of security and user feedback in e-payment apps.

This article covers the intricacies of path selection in data networks.

A new algorithm speeds up Fréchet distance computations for better curve similarity analysis.

Learn about approximators for traffic flow in large graphs.

A look into integer programming and the Unbounded Subset Sum problem.

A look into developing fast systems for measuring string differences.

A look at how online matching shapes digital markets and resource allocation.

A novel approach to clustering using multi-view stochastic block models.

A new approach to improve robot route planning and object visibility.

A new method enhances the evaluation of SQL code generation accuracy.

A new dataset accelerates seismic analysis using innovative machine learning techniques.

Learn how reference models can streamline design and enhance quality.

A look into the rise and applications of graph databases.

A look at key data pipeline tools and their roles in data engineering.

Streamlining data preparation and ML code to enhance accuracy and efficiency.

Discover how the Semantic SQL Transducer improves data clarity and management.

ACoNE offers an efficient model for generating explainable query embeddings.

A new framework aims to automate paper reviews for better quality feedback.

GraphMuse streamlines the analysis of symbolic music data with advanced machine learning techniques.

Reviewing key trends and collaborations in COVID-19 studies during 2020.

A system that improves information retrieval by clarifying user questions.

This study focuses on generating citations with appropriate length for better quality.

Gymnasium simplifies research in reinforcement learning with versatile environments and support tools.

A new system to simplify writing literature reviews for researchers.

HALvest combines citation networks and texts for enhanced research insights.

This article discusses the significance of crossing numbers and ratios in graph theory.

A study of how reflection complexity reveals pattern behaviors in sequences.

A look into how Boolean networks model biological interactions.

This article examines the link between GHZ states and graph theory.

A new method to manage workloads efficiently by optimizing core usage.

A look into how stochastic drift influences decision-making and optimization.

New techniques improve reliability in data transmission using graph structures.

An overview of graph polynomials and their relevance in various fields.

New techniques improve training speeds for deep learning recommendation models.

This article explores key techniques for compressing large scientific datasets effectively.

This study examines how network layout affects decentralized federated learning amidst Byzantine threats.

This article explores new methods for simulating fluid flows with GPU technology.

pFedDIL improves machine learning by retaining knowledge while adapting to new tasks.

An overview of cloud and on-premise AI infrastructures.

This study reveals how shared randomness improves efficiency in solving local distributed problems.

This article discusses enhancing fault tolerance in hybrid workflows using recovery methods.

Digital twins enhance decision-making for complex energy systems in the Energy Internet of Things.

Investigating how groups focus their attention in shared experiences.

SPOGA accelerates deep neural networks with improved speed and energy efficiency.

A look at federated learning combining differential privacy and blockchain for data security.

An overview of advancements in quantum computing and circuit design.

A survey reveals rising support for AI rights alongside concerns about its dangers.

Exploring the digital shift and its impact on maritime cybersecurity.

New methods in reinforcement learning leverage RRAM for improved efficiency and performance.

A study of how reflection complexity reveals pattern behaviors in sequences.

This article explores mailbox communication and its role in finite-state machines.

Learn how automata theory enhances the performance of language models.

Exploring how history-determinism and fair simulation relate in automata theory.

Exploring Generalized Timed Automata's impact on system decision-making and time management.

Exploring the functions and applications of tree automata in computer science.

Exploring the complexities of transforming NFAs into DFAs in computer science.

Exploring state complexity in automata theory and its implications for language processing.

Beat-It generates synchronized dance movements to enhance choreography effortlessly.

A new approach improves image generation from sketches by separating object and scene creation.

A novel method simplifies complex 3D shapes with effective sweep surfaces.

A new method simplifies personalized image generation from text.

New deep learning model enhances motion prediction for solid objects in 3D.

New methods improve 3D scene appearance based on 2D images efficiently.

An overview of deep learning methods for 3D modeling from images.

This study examines avatar interaction methods to improve VR experiences.

This framework optimizes decoder management for efficient quantum computing.

SPOGA accelerates deep neural networks with improved speed and energy efficiency.

A look into enhancing FPGA use in DNN applications with new techniques.

A study revealing security flaws in popular mobile payment applications.

A unified TEE design improves CPU and NPU collaboration for secure computing.

A novel approach to optimizing digital circuit designs using deep learning methods.

FlexCross improves network data processing speed and flexibility, meeting modern demands.

Combining visuals and language enhances hardware code generation accuracy.

A framework for using language models directly on smartphones for secure, personalized services.

Helios offers a low-power gesture recognition system for smart eyewear.

Voice technology offers new pathways for real-time behavioral data collection.

Workshop focused on sharing experiences in participatory design for better civic engagement.

A workshop on fostering community involvement in research for positive social change.

Using technology to strengthen community engagement and foster collaboration.

A new model enhances communication for individuals with disabilities using speech recognition and Morse code.

Exploring the importance of data security in immersive art installations.

A novel approach enhances example retrieval for large language models.

A look at the efficiency of GPT and RETRO in adapting language models with PEFT and RAG.

New AI system shows promise in automating medical coding with high accuracy.

This study shows how ensemble methods enhance suggestion quality in recommender systems.

A new method improves recommendations for users and items amidst data challenges.

PeaPOD offers a fresh method for personalized recommendations using adaptive prompts.

Analyzing singer identification methods amidst growing voice cloning concerns.

This application simplifies the analysis of melodies in digital sheet music.

Using UAVs for secure communication during emergencies.

Learn how to estimate entropy while managing limited memory resources.

Terahertz technology promises ultra-fast data transfer and new communication applications.

A new method improves image and video processing efficiency.

A new method improves accuracy in mobile device localization and signal detection.

New algorithm improves signal recovery from noisy measurements.

New methods improve beam training efficiency in advanced communication systems.

CubeSats and Free-Space Optical communication shape the future of satellite networks.

Examining the challenges and insights in Presburger arithmetic and its expansions.

Exploring complex relationships in linear equations within abelian-by-cyclic groups.

A system generates synthetic human movement paths to enhance security measures while protecting privacy.

An overview of linear processes and their significance in programming and communication systems.

Examining connections between reasoning and biological processes for innovative insights.

A new framework for agent communication focusing on privacy and consistency.

Exploring coalgebraic semantics for intuitionistic modal logic using image-finite posets.

A look into higher categories and their role in complex relationships.

A method to enhance audio deepfake detection through data augmentation.

A new method to evaluate storytelling quality in machines is introduced.

A fresh approach to decentralized systems that enhances agent collaboration and decision-making.

A new method improves part discovery in images using transformers.

This article discusses structures in graphs and introduces relative centrality for better analysis.

Explore the impact of out-of-distribution data on machine learning performance.

A look at the efficiency of GPT and RETRO in adapting language models with PEFT and RAG.

GNN and RL technology enhance efficiency and adaptability in power grid operations.

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

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

New approaches to tackle complex linear systems efficiently.

A new framework for optimizing complex geodesic convex problems in various fields.

HOBOTAN efficiently tackles complex higher-order optimization problems using advanced computing techniques.

Learn how Restricted Function Spaces improve PDE solutions in Firedrake.

A new tool for efficient structural optimization using automatic differentiation.

A new heuristic enhances solution finding in MILP problems.

A fresh approach to decentralized systems that enhances agent collaboration and decision-making.

A new algorithm enhances decision-making in multi-agent environments with limited visibility.

RSHPN framework enhances reliability and safety in robotic systems through better analysis.

This article examines how social hierarchies form between competing groups.

This article discusses a method for safe spacecraft docking in complex orbits.

Payments among agents can influence auction outcomes and cooperation among players.

Examining how social media influences opinion formation and polarization.

A guide to popular physics engines for reinforcement learning research.

Researchers aim to create sounds that match silent videos, improving viewer experiences.

A new approach enhances the clarity of questions generated from images.

Learn how to secure CSV data with digital signatures.

This method improves image search by combining images and text effectively.

LeRF combines deep learning and interpolation for better image resizing.

New AI model improves chest X-ray interpretation for better diagnoses.

A new method to generate engaging social media content using AI.

Discover how AI is transforming music generation with BandControlNet.

Terahertz technology promises ultra-fast data transfer and new communication applications.

A look at prefetching methods for improving packet processor efficiency.

This article covers the intricacies of path selection in data networks.

Digital twins enhance decision-making for complex energy systems in the Energy Internet of Things.

A look into the MiniFS file system and its security concerns.

New methods improve mmWave connections for mobile users in dynamic environments.

The 6GSoft project aims to innovate software for connected devices.

Streamline network management with Intelligent Routing as a Service.

Research focuses on improving brain model accuracy through innovative simulation techniques.

A new method enhances molecular discovery using evolutionary algorithms and language models.

A novel approach enhances traffic predictions using wavelet transformation and attention mechanisms.

Exploring new methods to improve video game testing through automation and AI.

Research highlights improvements in SNNs for efficient machine learning tasks.

This paper presents a technique to tackle communication delays in neural networks.

This article reviews algorithms for improving transportation route planning efficiency.

Exploring the benefits of diverse neuron properties in advanced neural networks.

New techniques for fast kernel matrix approximations using Chebyshev and tensor train methods.

An overview of inverse problems and methods for accurate reconstructions.

A new method enhances training efficiency for complex equations using variable scaling.

New methods enhance solutions for the Helmholtz problem in engineering and mathematics.

Researching energy stability in crystal simulations enhances material behavior predictions.

Exploring new methods for understanding fluid movement in porous materials.

A framework for improving carbon dioxide injection strategies in underground storage.

Exploring fKANs and their impact on machine learning performance.

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

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

New framework for NPUs enhances resource sharing and reduces costs.

A novel method for analyzing cloud system performance through detailed simulations.

A new framework enhances task scheduling and timing in multi-threaded ROS 2 executors.

UBPF simplifies eBPF program management across diverse cloud environments.

CRISP safeguards cloud applications against rollback attacks, ensuring data integrity and security.

This article covers a system that manages communication between processes using sandboxes.

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.

SPOGA accelerates deep neural networks with improved speed and energy efficiency.

ConvBench offers a new way to assess convolution algorithm performance effectively.

Learn effective methods to estimate the energy footprint of software.

A new approach to reduce tail latency in applications using a dynamic thread pool.

This paper analyzes the importance of auto-tuning for AMD GPUs in high-performance computing.

A new framework estimates how deep learning models perform on various GPUs.

Simopt enhances FPGA design by leveraging simulation data for improved performance.

RASM improves wireless communication efficiency and reliability through innovative techniques.

Exploring choreographic programming with algebraic effects to enhance distributed application development.

Learn how type universes affect memory allocation in programming languages.

A look at modular frameworks in binary analysis tool development.

A new language design aims to improve reasoning and clarity in software development.

A new approach to improve security in decentralized finance protocols.

Explore how termination checkers help programs complete their tasks without infinite loops.

A formal approach to ensure reliability in stateful dataflow systems like Apache Flink.

Exploring the use of case studies to enrich programming language learning.

Grad-CAPS improves action smoothness in reinforcement learning for robotics and autonomous systems.

Introducing HSURF: A robotic solution for efficient underwater inspections.

Volume-MCTS improves decision-making in robotics through better exploration strategies.

New method improves robot cooperation for efficient mapping.

A novel framework for improving robot cooperation across various tasks.

RSHPN framework enhances reliability and safety in robotic systems through better analysis.

Combining Hamilton-Jacobi reachability with reinforcement learning enhances safety in control systems.

SuperFlow enhances 3D perception models using LiDAR and camera data for autonomous driving.

A fresh approach enhances community detection in sparse and imbalanced networks.

Twitch is changing how politics is discussed and engaged with online.

A new method improves recommendations for users and items amidst data challenges.

Analyzing how social media shapes climate change discourse.

A study on how social interactions shape opinions over time.

Introducing a framework for assessing communication skills in ESL dialogues.

A study on legislative discussions and the arguments presented in committee hearings.

The 6GSoft project aims to innovate software for connected devices.

Exploring the impact of blockchain on Public Key Infrastructure.

Examining the role of dropout techniques in improving fairness in DNNs.

An analysis of developer responses to the Log4j vulnerability and their practices.

An overview of why testing smart contracts is crucial for security and functionality.

Explore methods to enhance software testing efficiency and accuracy.

Exploring new methods to improve video game testing through automation and AI.

AFPNet offers improved detection of vulnerabilities in smart contracts using deep learning techniques.

A look into WebAssembly analysis methods for secure execution.

A method to enhance audio deepfake detection through data augmentation.

Beat-It generates synchronized dance movements to enhance choreography effortlessly.

Researchers aim to create sounds that match silent videos, improving viewer experiences.

This study addresses the issues with SLU systems and their ability to generalise.

A self-supervised tool for estimating musical key signatures, reducing expert annotations.

Diff-MST enhances music mixing by applying style transfer from reference tracks.

A new model enhances communication for individuals with disabilities using speech recognition and Morse code.

ElasticAST allows processing of variable length audio efficiently without losing important details.

Exploring complex relationships in linear equations within abelian-by-cyclic groups.

CTSLAM enhances robotic localization and mapping using flexible data integration.

Research highlights methods to maintain dialogue consistency in restaurant-related conversations.

New method improves classification accuracy and adaptability through error detection.

Discovering connections between complex reflection groups and linear differential equations.

Recent advancements in Real Quantifier Elimination and CAD improve problem-solving efficiency in mathematics.

Learn how math aids in understanding chemical reactions and their interactions.

A look into polynomial handling with Lean's features and challenges.

A new approach to improve traffic routing and reduce congestion in urban areas.

A new framework aims to improve accuracy in power system security evaluations.

New methods enhance control system performance amidst uncertainties.

Techniques for better control in electromechanical systems with weak connections.

A look at modern task planning in factories with robots and humans.

New model improves indoor THz communication using RIS technology.

Combining Hamilton-Jacobi reachability with reinforcement learning enhances safety in control systems.

A look at how energy storage and transmission impact electricity supply.