Computer Science

Ternary SVD offers a simpler and efficient way to compress neural networks.

A new framework enhances agent decision-making by focusing on timing.

A new method improves visual representation of stories through innovative architecture.

Discover efficient ways to find video moments using natural language queries.

This research links brain activity to visual perception by reconstructing images from EEG signals.

This study highlights methods for evaluating PPG signal quality in wearable devices.

Exploring RCT rejection sampling to analyze causal effects effectively.

A new method reveals how to find test data contamination in language models.

A new approach enhances the quality of synthetic data by balancing coherence and diversity.

Discover efficient ways to find video moments using natural language queries.

Examining knowledge retention challenges in large language models during continuous training.

A new method to improve keyphrase extraction using diffusion models and enhanced ranking.

This article explores how kids and computer models learn tricky function words.

Exploring RCT rejection sampling to analyze causal effects effectively.

A new method reveals how to find test data contamination in language models.

A method for making language models safer while maintaining quality.

Study of moving tokens between minimum separators in graphs using sliding and jumping models.

Research focuses on efficient algorithms for k-factors in graph theory.

This article examines the complexity of counting the Brouwer degree in polynomials.

Research reveals complex low-energy states in fermionic Hamiltonians, challenging current quantum theories.

New methods enhance the verification of quantum random sampling outcomes using trapped ion systems.

Introducing a fresh approach to calculating VC dimension for better model training.

Exploring the impact of random walks on algorithms and complex systems.

A fresh look at functions using discrete ordinary differential equations.

New methods improve data analysis efficiency for LHC scientists.

New reactor designs improve mixing and heat transfer efficiency.

A new approach enhances material behavior predictions using small-scale calculations.

A look into THB-splines and B ezier extraction for better design.

Introducing SA-ALAE, a model transforming engineering design generation.

This article presents a method for efficient 3D printed structures.

DiTTO combines machine learning with diffusion models for solving PDEs efficiently.

A framework combining pattern recognition and filtering enhances model reliability in complex networks.

This paper presents a novel approach for comparing complex scalar data.

Research on edge crossings in topological graphs reveals important structural insights.

A novel method improves realistic 3D models from limited data.

Explore methods to create clear right-angle crossing drawings with minimal bends.

A new algorithm improves the estimation of homology from noisy data points.

Learn how to estimate scalar curvature using a new intrinsic method.

This article examines min-k-planar drawings and their significance in graph representation.

A simpler approach to calculate Gromov-Hausdorff distances in metric spaces.

Examining the importance of equitable product presentation in digital marketplaces.

Introducing VISER, a new approach for games with uneven information distribution.

This study analyzes the potential for MEV in Ethereum's Layer 2 networks.

A new method replaces randomness in decision-making with strategic games.

This article examines supply functions, market dynamics, and efficiency in electricity markets.

A new approach to set optimal prices without consumer envy.

A new algorithm enhances efficiency in solving fair parity games.

This article explores the complexities of multi-agent learning and its impact on stability.

A new method leverages self-supervised learning for improved scene understanding.

Graph-Segmenter improves image segmentation through innovative transformer techniques.

A novel approach to safeguard sensitive data captured by self-driving cars.

A new method improves visual representation of stories through innovative architecture.

Discover efficient ways to find video moments using natural language queries.

This research links brain activity to visual perception by reconstructing images from EEG signals.

Research on detection-segmentation networks enhances safety in self-driving cars.

A groundbreaking system merges 3D visuals and language for improved interactions.

A new method improves fairness in generative models without requiring original datasets.

Understanding how AI improves clinical risk prediction and trust.

Analyzing the potential impact of a UK digital currency on financial systems.

Experts share views on improving usability in GDPR compliance.

A study on how COVID-19 spreads indoors and effective control strategies.

Exploring the relationship between AI exposure and job risks in the workforce.

This framework combines fairness and robustness for responsible AI systems.

This study assesses how live polling quizzes affect Computer Science students' engagement.

Exploring risks and strategies to protect power grids from load-altering attacks.

Examining the impact of cookie notices on users with visual impairments.

A new method reveals how to find test data contamination in language models.

Examining the challenges and opportunities of differential privacy in data analysis.

Test-time adaptation methods face vulnerabilities from poisoning attacks, challenging their effectiveness.

Exploring tools to assess privacy concerns among internet users.

Experts share views on improving usability in GDPR compliance.

New approach fixes memory leaks in Single Page Applications without manual detection.

A look at modularity and its role in understanding community structures in networks.

A look at the Minimum Weight Cycle problem and its significance in computing.

Min-diameter measures the longest shortest path in directed graphs, revealing connectivity.

A new approach to arranging items enhances user engagement in various applications.

Exploring the relationship between graph coloring and Glauber dynamics in various applications.

An overview of matching patterns with variables in computer science.

A look into the complex Multiway Cut problem and its recent advancements.

A method to find averages from varied user data without compromising privacy.

Research shows column-stores improve recursive query performance significantly.

This method enhances performance and reliability in database transactions.

Strategies to enhance transaction processes in mobile and online applications.

New approach streamlines data integration for enhanced research efficiency.

A look into existential rules and their significance in query entailment.

Optimizing databases with a focus on cost and performance.

A new system automatically fixes string data errors without user input.

KGrEaT assesses the quality and usefulness of knowledge graphs for various tasks.

Examining the relationship between handwriting changes and emotional expressions in diary entries.

A guide to enhancing knowledge acquisition from scientific papers using ORKG.

Hope shapes our lives, encouraging resilience and positive actions.

CRUISE-Screening simplifies the literature review process for researchers.

Introducing a multi-representation approach for better understanding scientific literature.

New methods assess how research challenges existing knowledge.

Exploring the accuracy and trustworthiness of ChatGPT's answers.

Exploring how citation patterns reveal true research impact beyond traditional metrics.

Study of moving tokens between minimum separators in graphs using sliding and jumping models.

A new algorithm improves graph cuts for efficient data clustering.

Learn the significance of metric dimension in directed graphs and its applications.

An overview of graph matchings, types, and their significance in various fields.

Exploring the role of integral circulant graphs in enhancing quantum network efficiency.

This article examines random walks and their escape rates on unordered trees.

A look into the properties and significance of clique graphs in hexagonal lattices.

Learn about the systems behind lottery ticket designs and their significance.

A look at the Minimum Weight Cycle problem and its significance in computing.

A method for personalized machine learning in federated learning environments.

Adapting batched iterative solvers for Intel GPUs enhances performance in scientific computing.

Explore how Quantum Cloud Computing merges power with flexibility for various industries.

New methods improve data analysis efficiency for LHC scientists.

New approach streamlines data integration for enhanced research efficiency.

A new framework enhances federated learning in multi-cloud settings.

A new framework enhances energy sharing in crowdsourced IoT environments.

Learn the basics of how quantum computing works.

Exploring the potential and challenges of optical neural networks using light for computation.

Optical computing uses light to offer faster processing and energy efficiency.

A fresh approach safeguards quantum code and output from unauthorized access in cloud services.

A new method enhances qubit mapping by focusing on single-qubit gates.

New quantum methods aim to improve particle track reconstruction efficiency at the LHC.

A new method enhances efficiency in generating permutations for optimization problems.

A look at the Bin Packing Problem and its impact on logistics efficiency.

An overview of matching patterns with variables in computer science.

A look into static analysis, CFL reachability, and their implications in computing.

A new approach to computing reachability probabilities in complex systems with infinite states.

Exploring the interactions and behaviors in layered cellular automata systems.

This work introduces innovative techniques for managing complex reactive programs effectively.

New methods enhance understanding of Max-Plus Linear systems in various applications.

Exploring new methods for converting non-deterministic automata to deterministic forms.

Exploring the impact of monus semantics on vector addition systems with states.

MIPS-Fusion improves RGB-D reconstruction with efficient tracking and mapping techniques.

New voxel-based methods enhance brain imaging visualization and transparency.

New methods improve feature tracking in climate research and molecular dynamics.

Exploring how visual cues improve teamwork between humans and robots.

A new method improves shape recovery through topological derivatives for better image reconstruction.

VALERIE22 dataset aids in developing safe automated driving through synthetic city images.

Dronevision revolutionizes 3D multimedia with a desk-sized display using flying drones.

A study on sensors vital for the performance of new drones.

A new framework combines reinforcement learning and optimization for better task scheduling.

Ramulator 2.0 enhances memory research with a modular, fast simulation tool.

A new framework simplifies the design of machine learning accelerators for improved performance.

A new DSL enhances hardware design and verification, improving productivity and accuracy.

A new method enhances check-pointing efficiency in devices using ambient energy.

A dataset for predicting tensor computation performance on specialized hardware.

New robotic platforms are changing the way weeds are managed in farming.

A fresh approach safeguards quantum code and output from unauthorized access in cloud services.

Examining the impact of cookie notices on users with visual impairments.

A machine learning-based tool helps investors avoid scams.

A system that learns from real app interactions to enhance user interface understanding.

A framework for creating fair and inclusive smart devices.

A new approach uses speech patterns to identify depression relapse more effectively.

Exploring tools to assess privacy concerns among internet users.

Experts share views on improving usability in GDPR compliance.

New visualization techniques improve representation of voltage data in electrical grids.

A new method boosts the accuracy and variety of recommendation systems.

Study explores continual learning strategies for improving information retrieval systems.

Research reveals new ways to connect software development elements efficiently.

A new method enhances attribute-value extraction for online shopping.

New methods enhance signal recovery while reducing background data reliance.

This paper looks at how LLMs enhance dense passage retrieval.

BERT4CTR combines textual and non-textual features for better ad click predictions.

A new framework improves how recommendations align with user preferences.

Introducing a function to assess information and variability in reliability and risk analysis.

Exploring hidden vulnerabilities in machine learning models and potential countermeasures.

Explore the latest developments in satellite communication and technology trends.

A new method to differentiate health conditions using ECG time series data.

Research shows how storage codes improve data recovery in cloud systems.

New method enhances group testing efficiency for pathogen detection.

A new method improves location accuracy using intelligent reflecting surfaces.

Exploring Beyond-Diagonal RIS for better wireless communication.

A look into the connection between W-types and formal topology in mathematics.

A new programming language focuses on dimensions to improve scientific modeling.

Examining the role of definite descriptions in knowledge and reasoning.

New methods in Description Logics allow for richer knowledge representation and reasoning.

A new framework enhances robot planning using structured knowledge representation.

This article explores nested sequents and their application in quantified modal logics.

Understanding Petri nets and their equivalence through structure-preserving bisimilarity.

A look into existential rules and their significance in query entailment.

New algorithms improve accuracy in detecting overlapping communities in networks.

Discover how Dictionary Learning enhances data classification methods.

Ternary SVD offers a simpler and efficient way to compress neural networks.

A new AI-based method for better and faster state estimation.

A new framework enhances agent decision-making by focusing on timing.

A new method improves visual representation of stories through innovative architecture.

A study revealing the challenges GNNs face in counting subgraph patterns.

This study highlights methods for evaluating PPG signal quality in wearable devices.

Graph4J offers an efficient Java library for graph algorithms using simple structures.

Exploring new methods for efficient data storage and computation.

Discover EDOLAB, a platform for tackling changing optimization problems.

CDL aids in studying permutations and arrangements in computer and social sciences.

A study reviewing different formulations for cutting shapes efficiently.

New methods simplify complex polynomial optimization challenges for better solutions.

Combining JAX and Firedrake enhances numerical methods for solving partial differential equations.

New method enhances predictions using Gaussian processes on unknown data structures.

A new framework enhances agent decision-making by focusing on timing.

Strategies for agents to collaborate effectively despite information limitations.

Exploring cognitive models to improve agent coordination and decision-making.

Introducing VISER, a new approach for games with uneven information distribution.

New methods improve territory protection against UAV threats.

Learn how Raft algorithms improve coordination in multi-agent systems.

AI agents must adapt to work effectively with new partners in various environments.

A study on how UAVs, workers, and cars can work together in disasters.

Explore the emotional ties between music and images with the EMID dataset.

This research links brain activity to visual perception by reconstructing images from EEG signals.

Discover the impact of visual grounding in language and image interactions.

A new method enhances efficiency in video recognition using audio and visual data.

A new AI agent improves game testing efficiency and quality.

Dronevision revolutionizes 3D multimedia with a desk-sized display using flying drones.

A study on sensors vital for the performance of new drones.

A new framework improves item suggestions using different data types.

New methods improve data gathering in remote areas for virtual reality applications.

Federated Learning enhances connected vehicle safety while protecting user data.

A smartphone system allows divers to locate each other underwater without extra tools.

Early exiting improves speed and efficiency in signal classification.

An innovative approach to compress network traffic data efficiently.

SCC5G offers robust security features for critical communication over 5G networks.

This study reviews how IP addresses align with their registered locations.

Learn how entanglement enhances communication efficiency and security.

Introducing reversible SNN nodes for efficient training and memory use.

A new model integrates U-Net and Spiking Neural Networks for efficient image tasks.

SpikingBERT combines spiking neural networks with language tasks for better energy efficiency.

Research on reservoir computing focuses on optimizing network designs for improved machine learning.

ReLiCA algorithm simplifies model creation using Cellular Automata rules and effective settings.

Examining how brain learning principles can enhance machine learning algorithms.

Exploring efficient models for similarity matching in machine learning.

Exploring the potential and challenges of optical neural networks using light for computation.

A new algorithm automates the evaluation of complex oscillatory integrals.

New methods enhance integration accuracy for scattered data in various fields.

A new AI-based method for better and faster state estimation.

Introducing an efficient method for tackling complex conservation laws on irregular surfaces.

A look into Sylvester matrix equations and efficient methods for solving them.

A method to solve block lower triangular Toeplitz systems efficiently using preconditioned MINRES.

Learn how to tackle inverse coefficient problems using Neumann series.

Research reveals how dark matter affects neutron star properties.

Addressing the need for accurate sustainability in data centers.

Introducing a framework for better application isolation and resource sharing.

Analyzing issues in predicting future actions in ongoing processes.

Learn how compartmentalization improves software security by limiting access and interaction.

A new method for efficient data sharing between cloud functions.

This article reviews Linux API usage in various applications and highlights key findings.

A look at new systems improving insulin delivery and blood sugar monitoring.

A look into the advancements and challenges in modern storage systems.

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

A tool combining Selenium and JUnit 5 to streamline web application testing.

Examining risks and impacts of modded apps on users and developers.

Examining the links between living brains and computer systems.

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.

Research shows column-stores improve recursive query performance significantly.

A look into best practices for improving system reliability under load.

A framework to accurately measure energy use in deep learning systems.

A study on the performance of three genetic algorithms in software refactoring.

A new method enhances agents' decision-making in changing environments.

A framework to identify sparse matrix structures using limited data.

This study examines how time limits affect software model optimization quality.

A new approach to modular reduction boosts performance in cryptography.

This article discusses enhancing AI learning through higher-order abstractions for efficiency.

A new programming language focuses on dimensions to improve scientific modeling.

WasmFX provides new tools for developers to manage advanced programming features in WebAssembly.

A fresh approach that combines ICL and code generation for improved predictions.

New tokenizer improves performance of language models for high-performance computing programming.

This work introduces innovative techniques for managing complex reactive programs effectively.

A new approach enhances data-based coordination languages for better performance.

Tau Prolog allows running Prolog code seamlessly in web environments.

New design enhances robotic sensitivity and adaptability for improved interaction.

A fresh approach enhances drone learning in complex environments using object detection.

Researchers improve robots' grasping abilities for underwater exploration using soft robotics.

This article explores how sensor fusion enhances self-driving vehicle safety and efficiency.

A novel approach enhances multi-objective decision-making for drones in dynamic environments.

This work focuses on robot learning in dynamic environments to enhance task performance.

Explores how robots interact with their environment and make decisions.

A new method helps robots understand complex tasks by breaking them into simpler steps.

A look at modularity and its role in understanding community structures in networks.

New algorithms improve accuracy in detecting overlapping communities in networks.

A new approach significantly boosts the efficiency and accuracy of subgraph counting.

Study reveals how shared identities shape Twitter interactions.

A study on evolving rankings based on performance over time.

This article examines how beliefs develop in a world of misinformation.

New interventions seek to reduce bias in GNNs while maintaining accuracy in predictions.

UGT combines local and global graph information for better data analysis.

Aligning requirements engineering and testing enhances software quality.

A platform that adapts software services in real-time for smart mobility solutions.

Research reveals new ways to connect software development elements efficiently.

Exploring the role of hope in personal growth and community strength.

New approach fixes memory leaks in Single Page Applications without manual detection.

Learn how to assess test coverage effectively in microservices.

Analyzing methods to efficiently retrieve similar bug reports for developers.

LeakFuzzer detects information leaks in programs to improve software security.

ivrit.ai provides vital resources for enhancing Hebrew ASR technology.

Innovative techniques are transforming how we translate spoken language.

New methods aim to hide speaker identities while maintaining speech clarity.

New model improves speech recognition speed and memory usage.

A new dataset highlights the creative interpretations of jazz pianists on classic standards.

New methods improve sound representation in virtual and augmented reality.

FlexiAST allows models to adapt to various audio patch sizes efficiently.

Researchers are using machine learning to improve throat cancer diagnosis through speech analysis.

This article examines conditional obligations and their significance in ethical reasoning.

Combining machine learning with reasoning to improve decision-making capabilities in dynamic environments.

Language agents merge AI and decision-making for real-world tasks.

FMplex improves the efficiency of solving linear equations and inequalities.

Study of yeast kinases sheds light on cell signaling.

Exploring the need for safety and trust in AI systems.

LogicMP improves neural networks by integrating logical reasoning for better predictions.

JABBA enhances time series data analysis through consistent symbols and parallel processing.