Computer Science

A new method helps agents make safer decisions in uncertain environments.

Innovative tasks aim to improve handling of legal texts using Natural Language Processing.

A new method improves low-resolution image clarity using innovative techniques.

NetGPT tackles the complexities of network traffic for better analysis and generation.

A new method boosts collision detection for non-convex objects in robotics simulations.

Exploring neural processes and their ability to manage uncertainty in predictions.

Learn how transformers process data and their impact on various tasks.

SALSA improves DNN task scheduling for better efficiency and energy savings.

Innovative tasks aim to improve handling of legal texts using Natural Language Processing.

Research highlights improved robot learning using emergent communication methods.

CEIL enhances text clustering accuracy through classification integration and refined representations.

A new approach enhances entity classification with updated external information sources.

Exploring solutions for improved content generation in language models.

Research analyzes social media to reveal public views on opioids and substance misuse.

Natural language simplifies programming, making it accessible to everyone.

An initiative to make AI language models accessible in multiple languages.

Investigating CDCL solvers' efficiency in simulating resolution proofs with focus on overhead.

New algorithm offers efficient solutions for 2-MAXSAT challenges in optimization.

A new method enhances secure communication using quantum principles.

An exploration of the Metropolis-Adjusted Langevin Algorithm's performance in sampling.

A comparison of HMC and MALA for efficient sampling from complex distributions.

An overview of quantum circuit complexity and its real-world applications.

An overview of constant-rate multi-mode systems and their applications.

Exploring the complexities of power series and related mathematical problems.

A new method enhances imaging of delicate nanomaterials while reducing damage.

Study reveals how QRS patterns indicate heart attack severity.

A look at improved methods for designing chemical compounds with specific properties.

Study shows machine learning improves predictions for drop coalescence in microfluidics.

A novel method improves resource allocation in simulations of changing physical systems.

This article discusses a new formulation for accurately predicting pressurized crack behavior in materials.

Explore asset allocation methods to mitigate risks during persistent inflation.

A new method enhances efficiency in arranging VLSI modules.

Combining clustering with topological analysis reveals hidden structures in high-dimensional data.

Learn how Voronoi diagrams optimize floodlight placement for effective illumination.

This article discusses the complexities of imprecise polylines and their applications.

A look at the nearest neighbor problem for polygonal curves and Fréchet distance.

Examining how to prevent collisions in modular robotic systems.

An analysis of crease-free folding in convex polygons and its implications.

Introducing hyperbolic quadtrees for efficient data organization in unique geometries.

A new model improves route optimization for the Traveling Salesman Problem using deep learning techniques.

A new method enhances strategy finding in complex decision-making games.

A look at game strategies balancing long-term goals and short-term results.

A look at strategies to control epidemic spread in interconnected systems.

Joker games combine competition and cooperation, allowing players to influence each other's actions.

This paper presents a new method for fair clustering based on group size.

A discussion on fairly assigning items to players while ensuring honesty.

A new reward mechanism enhances player engagement in educational mobile gaming.

Learn how pricing and advertising work together to boost sales.

A new method enhances segmentation accuracy with minimal labeled data.

A new method improves low-resolution image clarity using innovative techniques.

A new method enhances image analysis in histopathology through synthetic data generation.

Transforming face lighting in images without complex setups or extensive training.

A look at new methods for tracking individuals across multiple cameras.

This article discusses filter pruning methods to enhance neural network efficiency.

Research highlights improved robot learning using emergent communication methods.

Scientists create 3D animal models using computer-generated images, improving efficiency.

Examining how data errors affect machine learning predictions and outcomes.

Examining how socio-economic status affects mobile internet access fairness.

Examining methods to ensure fairness in machine learning decision-making processes.

This study examines how Elon Musk's Twitter acquisition impacted entrepreneurs' tweeting behaviors.

This article discusses the role of machine learning in engineering courses.

Exploring how human-AI collaboration shapes the future of programming.

Examining individual fairness in Bayesian models compared to traditional neural networks.

An analysis of Reddit's changes during the COVID-19 pandemic.

Examining privacy attacks in Split Learning and a new protective method.

A new framework to protect users from traffic analysis attacks.

This article discusses improving neural networks efficiency using homomorphic encryption techniques.

DPAF offers high-quality synthetic images while ensuring strong privacy protections.

This article discusses methods to remove backdoors from federated learning models.

A decentralized app for safely managing and trading NFTs.

Explore the risks and solutions for access control vulnerabilities in web applications.

Strategies to protect user privacy while optimizing communication in data analytics.

New algorithms enhance semisorting efficiency and flexibility for data processing tasks.

New algorithms optimize sorting for string data in various applications.

Learn how Voronoi diagrams optimize floodlight placement for effective illumination.

Explore edge coloring techniques under memory constraints and their real-world applications.

This work presents a new method for solving the 2-ECSS problem more efficiently.

A novel method improves finding vertex-disjoint paths in graph theory.

This article examines a method for generating simple path graphs with limited hops.

New methods improve matching efficiency in dynamic graphs for real-time applications.

Semantic overlap improves data search by considering meaning rather than exact matches.

A new method enhances SQL query accuracy from natural language inputs.

A detailed analysis of language models in data integration tasks.

Exploring how large language models can improve data querying.

This study focuses on automating database tuning using past performance data.

New methods improve matching efficiency in dynamic graphs for real-time applications.

ARM-AE uses auto-encoders to quickly find high-quality association rules.

A new approach to improve data quality for machine learning models.

A platform for open sharing and peer feedback in scientific research.

This article discusses the importance of synthesizing research in HCI.

Structured resources to clarify scientific terms for readers and researchers.

EffOCR offers improved accuracy and flexibility in digitizing historical documents.

An open-source tool offering various string manipulation capabilities for diverse fields.

A study examining how reference lists in scholarly articles have changed over time.

A new search engine improves access to historical changes in web content.

Examining how research collaborations shape writing styles over time.

Learn about hypergraphs, their supports, and practical applications in various fields.

An overview of integer partitions and their sampling methods using the Boltzmann distribution.

A new algorithm reduces complexity in automata networks, aiding biological insights.

Explore winning strategies in games with entailing moves.

Exploring strong and weak spatial mixing in tree colorings and their algorithmic implications.

This study investigates edge counts in triangle-free graphs with various constraints.

Explore the role of high dimensional expansion in modern science and technology.

New algorithms enhance graph connectivity analysis for practical applications.

Uncovering complex relationships in biological systems for better health outcomes.

Innovative techniques for optimizing sparse matrices in high-performance computing.

STaKTAU tool simplifies performance measurement for HPC applications interacting with the operating system.

Learn about the dangers of model poisoning attacks and their impact on federated learning.

Pipeline MoE improves efficiency in large language models with reduced communication needs.

This research presents a method to enhance communication in federated learning.

A look at GACER and GPU resource management for deep learning tasks.

A new method enhances data compression for scientific studies, improving efficiency and storage.

A new approach uses ReRAM to enhance finite state automata in machine learning systems.

A new architecture combines neural networks and security features using RRAM technology.

New methods leverage quantum systems for faster string matching.

New Ising machines improve problem-solving speed and efficiency for complex logical challenges.

Exploring how quantum computing improves robotic motion planning efficiency.

Combining traditional tech with new methods for efficient probabilistic computing.

SuperNeuro revolutionizes simulations for neuromorphic computing, enhancing AI and robotics research.

Exploring the role of light in next-gen wireless connectivity.

A look into the complexities of rational relations in computer science.

An overview of constant-rate multi-mode systems and their applications.

Exploring the unique properties of cellular automata on a heptagonal grid.

Algebraic series bridge mathematics and computer science, revealing structural relationships.

Recent improvements in algorithms enhance efficiency in solving parity games.

Recent developments in VASS address coverability and reachability challenges.

A comparison of fixed and reconfigurable communication systems in modern computing.

A look into history-deterministic vector addition systems and their applications.

Transforming face lighting in images without complex setups or extensive training.

Nerfbusters enhances casual NeRF captures by reducing artifacts and improving geometry.

A look into how neurosymbolic models combine programming and machine learning in graphics.

This method provides consistent normal orientations for point clouds using winding numbers.

Pointersect simplifies point cloud rendering, enabling new applications across various fields.

Learn how new methods create realistic 3D videos from simple recordings.

Generate diverse 3D scenes from a single image without needing extensive training data.

A web app simplifies ultrasound image visualization for medical professionals.

SALSA improves DNN task scheduling for better efficiency and energy savings.

This article discusses methods to enhance the security of small embedded devices.

ReRAM shows promise in improving neural network performance and efficiency.

Exploring the role of FPGAs in real-time processing and machine learning.

A new memory system combines RAM and ROM for enhanced performance in devices.

Introducing a versatile tool using reinforcement learning for improved hardware Trojan detection.

New Ising machines improve problem-solving speed and efficiency for complex logical challenges.

New tools and devices improve machine learning processing efficiency.

Generative AI supports fashion design by aiding creativity and collaboration.

Research highlights the importance of tracking human attention in industrial settings.

Using regular webcams to detect heart and breathing rates remotely.

A study on programmers' reliance on online resources during coding.

This study examines how AI can help combat misinformation on social media.

Exploring how human-AI collaboration shapes the future of programming.

Combining VR and robotics shows promise for upper limb rehabilitation after stroke.

A new method enhances SQL query accuracy from natural language inputs.

A new method improves speed and accuracy in extreme multi-label classification tasks.

EulerNet enhances CTR prediction by better handling feature interactions.

A multi-faceted approach to assessing recommender systems for better user satisfaction.

A new method improves accuracy in retrieving relevant text passages.

This research compares voice and text methods for relevance assessments in information retrieval.

A new method for evaluating document relevance using adjusted depth pooling.

A new method for efficient and accurate document summarization.

New techniques enhance how systems predict answer types using knowledge graphs.

A novel approach leverages ordinary differential equations for effective sparse signal recovery.

This study presents a method to improve LDPC code decoding efficiently using gradient flow.

A look into mixed regression models for estimating complex data relationships.

A look into how noise impacts consensus among agents and methods to optimize communication.

Techniques to safeguard sensitive data while maintaining system performance.

New techniques are improving error correction in communication systems.

Explore the properties and applications of Sidon spaces in mathematics.

A look at improving signal strength for mobile users using Bayesian optimization.

Investigating CDCL solvers' efficiency in simulating resolution proofs with focus on overhead.

This study introduces innovative methods to analyze counting problems effectively.

A guide to diagnosing issues in systems with learning-enabled components.

A study on the complexity of defining relationships in algebraic structures.

A look into how data types organize and manipulate information.

A look into the complexities of rational relations in computer science.

This article explains interval temporal logic and its significance in representing time.

This study examines how DRL improves student knowledge and problem-solving skills.

A method to merge different data types for improved accuracy in simulations.

Innovative tasks aim to improve handling of legal texts using Natural Language Processing.

A new method improves low-resolution image clarity using innovative techniques.

This article introduces a method for better exploration in multi-agent systems.

Examining privacy attacks in Split Learning and a new protective method.

NetGPT tackles the complexities of network traffic for better analysis and generation.

Transforming face lighting in images without complex setups or extensive training.

Exploring the role of neural networks in approximating complex functions.

A new framework enhances geophysical studies through machine learning integration.

Researchers enhance simulation performance using GPUs for complex materials.

clotFoam transforms blood clot formation research through powerful simulations.

This article discusses how data assimilation improves scientific modeling in glaciology and groundwater studies.

Introducing a method for effective time series classification using the LLT technique.

Learn how NUBO helps researchers optimize costly evaluations using Bayesian techniques.

A new method improves solutions for complex differential equations using Haar wavelets and radii polynomials.

Blendstrings provide smooth, accurate function representations in various fields.

A new method helps agents make safer decisions in uncertain environments.

This article introduces a method for better exploration in multi-agent systems.

A new approach improves communication and path planning for multi-robot systems in real time.

This study examines how groups of animals decide their movements based on future options.

Exploring how stubbornness affects decisions in teamwork among artificial agents.

This project examines training agents in complex environments for effective resource management.

Exploring how autonomous agents can work together effectively despite differing abilities.

Exploring how robots can work together in uncertain conditions.

A decentralized app for safely managing and trading NFTs.

Using self-supervised learning to forecast box office performance.

A new approach enhances video quality predictions post-transcoding.

This study examines how multimedia aids understanding for novices and experts.

A new approach combines neural networks with steganography for better data hiding.

A new method uses text to improve image colorization accuracy.

Learn how to generate engaging titles and select covers for your videos.

A new model enhances image and text understanding with external knowledge.

NetGPT tackles the complexities of network traffic for better analysis and generation.

FTMRate uses distance measurements to enhance Wi-Fi data rate choices.

NTNs and C-DSS promise improved connectivity for users everywhere.

New methods aim to improve internet access using Multi-Connectivity and satellite networks.

A new algorithm improves task management for edge devices in machine learning.

Learn how cloud services enhance AI performance and resource management.

Enhancing satellite communication through modified routing algorithms.

Innovative methods enhance learning efficiency across connected devices.

Researchers explore using water waves for improved computing efficiency.

A look at how network structure influences neural network performance.

New methods enhance the coding process for developers using program synthesis.

AOT-SNNs improve uncertainty estimation in spiking neural networks for better predictions.

Examining methods to ensure fairness in machine learning decision-making processes.

ReRAM shows promise in improving neural network performance and efficiency.

A new method enhances trustworthiness in machine learning predictions for engineering.

B2Opt streamlines black-box optimization, improving efficiency and results with fewer evaluations.

A method to merge different data types for improved accuracy in simulations.

New methods enhance Hamiltonian Monte Carlo for unbiased sampling in complex systems.

A new method using machine learning improves random source reconstruction accuracy.

New findings on heart models can improve pacemakers and defibrillators.

Examining sampling complexities in Bayesian hierarchical models promoting sparsity.

New methods improve efficiency and accuracy in stability analysis of nonlinear systems.

New methods improve wave equation solutions in physics and engineering.

New methods improve conductivity imaging using deep learning and traditional approaches.

BCEdge improves DNN processing efficiency in edge applications for faster response times.

New method improves resource allocation for users with changing needs.

DVFO enhances energy efficiency and processing speed for edge devices in IoT.

Exploring the benefits of lookahead in semi-online task scheduling.

A model for better predictions of I/O operations in Linux environments.

SWAM improves memory usage in mobile devices, boosting app responsiveness and user experience.

This framework simplifies the development of Linux kernel schedulers.

Discover how ZNS devices simplify SSD data management and improve efficiency.

Transforming building design to save energy and promote sustainability.

Exploring automation's role in enhancing building design efficiency and communication.

Investigating distant planets and their potential to support life through advanced technology.

A new methodology enhances teamwork between software and hardware developers for better performance.

Reassessing how we classify and understand sequential circuits.

Exploring the significance and applications of mobility data in society today.

A new framework helps scientists communicate and design better experiments.

A clear overview of work systems, their components, and management challenges.

Innovative techniques for optimizing sparse matrices in high-performance computing.

New techniques improve DNN efficiency and robustness for small devices.

A new technique improves performance tuning for parallel computing applications.

A look at SecDivCon, a method to protect embedded devices from common vulnerabilities.

A new benchmark suite evaluates PyTorch models for better performance insights.

A new GPU-based GEMM design offers speed and real-time error correction.

Learn how DSA improves data management in modern processors.

Testing FT-BLAS against leading libraries shows strong performance and effective fault tolerance.

A new method for program synthesis improves efficiency using dual reasoning approaches.

Introducing an efficient approach to simulating complex quantum circuits with non-Clifford gates.

A new approach to efficiently manage resources in software development.

Learn about logical atomicity and safe data structures in concurrent systems.

A deeper look into the role of samplers in probabilistic programming.

Introducing a type system to ensure correct strategies in programming.

A new framework enhances performance in hyperdimensional computing.

A method to help robots learn tasks by observing users.

A new approach improves communication and path planning for multi-robot systems in real time.

A new method boosts collision detection for non-convex objects in robotics simulations.

Discover how torque control improves biped robot training and performance.

Research highlights the importance of tracking human attention in industrial settings.

A new approach using hooks for drones enhances object transport efficiency and simplicity.

This study analyzes the changing impact of hyperparameters on RL agent performance.

Combining touch and vision enhances robot interactions and predictions.

Combining VR and robotics shows promise for upper limb rehabilitation after stroke.

Research analyzes social media to reveal public views on opioids and substance misuse.

Combining clustering with topological analysis reveals hidden structures in high-dimensional data.

This study examines how AI can help combat misinformation on social media.

This study examines how Elon Musk's Twitter acquisition impacted entrepreneurs' tweeting behaviors.

A platform for open sharing and peer feedback in scientific research.

Study reveals how social media can help support those affected by gang violence.

This article examines how tweets reflect political views using advanced analysis techniques.

Examining new methods for understanding node embeddings and their significance.

This paper discusses the role of NLP and an ID card for replication in requirements engineering.

Explore the risks and solutions for access control vulnerabilities in web applications.

New methods enhance the coding process for developers using program synthesis.

Combining machine learning and static analysis for effective software bug fixes.

A study on programmers' reliance on online resources during coding.

This article reviews the performance of top AI code generation tools.

A method to generate varied comments for code snippets to aid developers.

Addressing safety concerns in cyber-physical systems for reliable vehicular operation.

AI tools simplify mixing, offering new options for amateurs and professionals alike.

Bubbles may hold the key to innovative music generation.

A look at new methods improving audio captioning for better accessibility.

Analyzing dataset use in voice biometrics reveals significant bias and privacy concerns.

A new method enhances speaker verification systems for overlapping voices.

Innovative methods for effective speech segment representation in processing tasks.

Enhancing TTS systems for better storytelling through effective pause placement.

AffectMachine-Classical generates real-time classical music to help manage emotions.

This article examines how ML and XAI improve symbolic computation methods.

New simulation methods enhance our understanding of spacecraft and debris interactions.

Exploring the complexities of power series and related mathematical problems.

Score enhances Scone's knowledge management through automated rules for decision-making.

A look into the complexities of testing polynomial identities.

An overview of circuit polynomials and their significance in point arrangements.