Computer Science

Exploring methods for creating reliable controllers in various environments.

Discover how StockAgent uses AI to simulate stock trading and analyze market behavior.

Introducing a method that improves bug-finding in C software development.

A new method to select data augmentations improves model performance on time series tasks.

A study on multilingual Facebook posts related to the Israeli War on Gaza.

Exploring how AI can execute detailed spoken commands in virtual environments.

Exploring how human behavior and language models can improve decision making.

This technique improves prediction accuracy by quantifying uncertainty effectively.

A new approach improves feedback collection for language models, saving time and costs.

A study on multilingual Facebook posts related to the Israeli War on Gaza.

A novel method to improve Bayesian network structure using multiple language models.

This article examines how layer changes impact transformer model performance.

An overview of language models, their challenges, and ways to improve them.

ACME assists asylum seekers in Europe with legal guidance for protection applications.

This study highlights the importance of user avoidance in news recommendations.

Introducing a new method to enhance efficiency in large language models through pruning.

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

An exploration of the complexities in Snake Cube puzzles and their variations.

A look into polynomials, ROABPs, and their relationship with complexity.

A look into key probability distributions in computer science.

A look into minimal transversals and their significance in hypergraphs.

Examining query space and branching programs in quantum computing.

A method to prove time complexity using LiquidHaskell in real-world programming.

Research highlights complexities and algorithms related to the MMDS problem in graph theory.

New model speeds up simulations of metal behavior in corrosive conditions.

New methods improve soft robots’ adaptability and safety in various environments.

The downfall of Silicon Valley Bank shook the stablecoin market significantly.

A new hybrid approach boosts the accuracy of oil price predictions using deep learning.

Discover how process mining improves efficiency and decision-making for organizations.

Introducing SepONet to enhance efficiency in operator learning for complex systems.

A new method using dihedral angles may improve protein structure predictions.

Explore how machine learning can improve hedging strategies for complex financial products.

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

New algorithm improves bipartization solutions in disk graphs.

An exploration of the complexities in Snake Cube puzzles and their variations.

A new method for clearer visualization of point data using simple shapes.

This paper presents new scheduling methods for improving drone package deliveries.

A study on improving GPS data matching to road networks.

Understanding smooth manifolds through triangulations and their properties in topology.

Exploring algorithms for key geometric optimization challenges and their applications.

A study on effective matching strategies considering preferences and constraints.

An overview of online matroid embeddings and their applications in decision-making.

IdentityChain combines privacy and compliance for secure identity management.

Examining how groups work together in structured environments.

This paper examines effective exit procedures for Ethereum stakers in a Proof-of-Stake system.

A look into obliging games and how they function.

Learn new strategies for successful bidding in simultaneous ascending auctions.

A look into bidding mechanisms for goods and services.

FANet enhances semantic segmentation, improving accuracy in complex images.

A new dataset aims to support automation in construction processes.

New model speeds up simulations of metal behavior in corrosive conditions.

Point-CPR improves 3D point cloud analysis by enhancing efficiency and learning.

A new method enhances gap filling and texture application in 3D indoor models.

Surgical Imagen generates realistic surgical images from text prompts to aid in education.

A detailed dataset to improve ultrasound training through hand movement analysis.

This technique improves prediction accuracy by quantifying uncertainty effectively.

Study reveals changing patterns of toxicity on Reddit and Wikipedia over time.

Generative AI is reshaping how we teach programming to students.

Study examines influencer strategies for sponsored content across different countries.

Examining how food access and migration influence each other.

AI tutors support students in programming courses, enhancing their learning experience.

Exploring how AI tools like Jill Watson enhance student learning in various courses.

Exploring how online imagery shapes our self-perception and connections.

A study on using algorithmic tools to improve decision consistency in real estate pricing.

CEIPA helps uncover vulnerabilities in large language models to enhance their safety.

A look into collective remote attestation and its impact on IoT device security.

A look at synthetic data generation for urban mobility and privacy challenges.

A method that reduces gestures needed for biometric enrolment through synthetic data.

MLLMs face new threats as safe prompts can be falsely refused.

New methods are ensuring privacy in genomic data research.

A powerful tool for in-depth smart contract transaction analysis emerges.

Exploring new approaches to enhance DRAM security against Rowhammer threats.

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

New algorithm improves bipartization solutions in disk graphs.

Robust Gray codes enhance data integrity even in noisy environments.

Learn methods to maximize flow in networks and minimize transportation costs.

An overview of online matroid embeddings and their applications in decision-making.

A look into the complexities and solutions for the multidimensional knapsack problem.

A novel algorithm enhances clustering speed while ensuring accurate data representation.

Examining vertex cuts and their applications in graph theory and matroid structures.

ACoNE offers an efficient model for generating explainable query embeddings.

A look into how anomaly detection improves business efficiency and identifies issues.

Ensuring buyer privacy is crucial as data markets grow.

Discover how process mining improves efficiency and decision-making for organizations.

This paper discusses how technology can enhance urban transport systems.

This paper discusses using language models to improve schema matching accuracy.

A new method enhances text indexing performance across key dimensions.

This framework enhances data science efficiency by converting Python code to SQL.

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.

The article explores gender differences in patent success, focusing on innovation types.

Access over 2 billion unique citation links for open research.

A faster approach for estimating contextuality in multi-qubit systems.

A novel approach improves how scientists reconcile gene and species trees.

Learn methods to maximize flow in networks and minimize transportation costs.

A new method enhances integer linear programming with cut removal and machine learning.

Exploring how vertices in graphs can be grouped through domatic partitions.

Examining vertex cuts and their applications in graph theory and matroid structures.

A look into minimal transversals and their significance in hypergraphs.

Exploring the significance and applications of leaf powers in graph theory.

A new method to improve task scheduling in complex scientific workflows.

StatuScale enhances resource management for microservices, addressing sudden workload demands effectively.

A look at a new method for better resource management in microservices.

A new approach to detect anomalies in IoT devices using collaborative learning.

Federated learning enhances medical imaging while protecting patient data.

A new framework aims to reduce performance issues for latency-critical services.

New counting techniques improve analysis of large genomic datasets.

A new method improves deep learning efficiency for edge devices.

New neural networks using memristors enhance efficiency and adaptability.

Examining the role and impact of kill switches for smart contracts.

Exploring how online imagery shapes our self-perception and connections.

Innovative methods are changing how we process and manage data efficiently.

Exploring the integration of quantum computing into machine learning for improved performance.

Exploring channel models for better 5G network planning in industrial environments.

New methods improve efficiency in deep neural networks, reducing energy use and increasing speed.

Research highlights methods to detect false information in automotive AI.

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

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

An examination of randomness and complexity in sequences of symbols.

A look into obliging games and how they function.

Learn how reactive graphs adapt in response to user interactions.

A look into Omega-automata and their role in language studies.

New methods enhance the reachability of resource-aware systems.

Explore recent improvements in regex functionality and performance.

A new method enhances image representation by identifying discontinuities during processing.

A new approach enhances CSG modeling using fuzzy logic for smoother transitions.

A new method for fast and high-quality 3D scene editing using text prompts.

This article explores common issues in data visualization design and their impact.

A new model generating stylized human motions from text and style sequences.

A new method improves 3D human modeling from minimal photos.

Introducing a method to create high-quality street views over long distances.

A new method predicts product sales during busy events using proxy data.

New neural networks using memristors enhance efficiency and adaptability.

Exploring new approaches to enhance DRAM security against Rowhammer threats.

This study enhances qubit measurements using machine learning and FPGA technology.

Edge computing improves speed and efficiency in mobile applications using AI.

A new method using diffusion models improves chip placement efficiency and effectiveness.

A new method improves verification of processor security against speculative execution vulnerabilities.

MCU-MixQ enhances AI model performance on microcontrollers by optimizing resource use.

Trikarenos chip offers reliable performance in automotive and aerospace applications under high radiation.

Study reveals changing patterns of toxicity on Reddit and Wikipedia over time.

Evaluating benefits and risks of AI in mobile and wearable technology.

Generative AI is reshaping how we teach programming to students.

Introducing an AI system that simplifies complex industrial training using virtual reality.

AI tutors support students in programming courses, enhancing their learning experience.

Study reveals how avatar matching affects user experiences in virtual environments.

Discover how technology supports mindfulness and its impact on well-being.

Research explores low-frequency audio to protect privacy in social behavior studies.

Introducing an AI system that simplifies complex industrial training using virtual reality.

This study highlights the importance of user avoidance in news recommendations.

AI tutors support students in programming courses, enhancing their learning experience.

This study investigates AI models for extracting causality from clinical guidelines.

New techniques enhance search engines' ability to process numeric information.

GenSco enhances QA systems by improving multi-hop question answering accuracy and coherence.

A new system improves recommendation predictions using standard hardware efficiently.

A new approach enhances predictions for new items using unique interaction patterns.

Learn how adaptive coding enhances communication security in wiretap channels.

New GMRF methods enhance image compression efficiency and quality.

Learn key concepts and techniques in data compression for efficient storage and transmission.

Robust Gray codes enhance data integrity even in noisy environments.

ISAC combines sensing and communication to improve wireless networks and applications.

An examination of randomness and complexity in sequences of symbols.

Discover how quantum codes protect information in quantum computing.

This study introduces a new algorithm for efficient function optimization using limited feedback.

Exploring methods for creating reliable controllers in various environments.

Introducing a method that improves bug-finding in C software development.

Combining Stochastic State Classes and simulation offers better analysis of complex systems.

ACoNE offers an efficient model for generating explainable query embeddings.

Exploring connections between logic programs and Boolean networks to enhance stable model insights.

Logic provides a strong foundation for effective learning in science and engineering.

This paper presents a new approach for efficient reachability analysis in complex control systems.

A look into potential infinite models in type theory and their significance.

A new approach improves feedback collection for language models, saving time and costs.

Introducing an innovative angle-preserving approach for visualizing high-dimensional data.

This article discusses the challenges and solutions in Graph Neural Networks.

Sinusoidal Positional Encoding offers improved learning and performance in machine learning tasks.

New model speeds up simulations of metal behavior in corrosive conditions.

This paper focuses on improving the reliability of language model outputs.

New techniques improve efficiency in complex optimization problems for machine learning.

A new method to select data augmentations improves model performance on time series tasks.

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.

Discover how StockAgent uses AI to simulate stock trading and analyze market behavior.

This study examines how LLMs change information through interactions.

Researching how robots work together in shared spaces for safe interactions.

Exploring how we carry lessons from caregivers into our behaviors.

DataStorm aids decision-makers by simulating various scenarios during health crises.

New methods enhance how multiple robots explore unknown mazes.

POGEMA framework enhances multi-agent navigation for efficient obstacle avoidance.

Discover how TaskGen improves task management for programs and agents.

A study on improving sound source localization by better using audio and visual information.

TemporalStory improves image generation for storytelling by enhancing coherence and context.

A new tool to assess replication in AI-made music.

A look at methods to enhance image quality affected by haze.

The TGIF dataset aids in detecting advanced image manipulation techniques.

Learn how IP broadcasting and audio tagging reshape content delivery.

Integrating AI to enhance marketing strategies and campaign effectiveness.

X-Former improves how models combine image and text understanding.

New methods for federated learning improve efficiency and privacy in IoT networks.

A look at optimizing data packet delivery in wireless mesh systems.

Cellular automata improve network design through reliability and efficient communication.

This article explores how drones locate radio signals autonomously.

Teams of drones tackle wireless localization challenges in the AERPAW competition.

Science DMZs enhance data transfer for scientific research.

A framework for assessing Federated Learning models in real-world scenarios.

Strategies to improve IoT communication and reduce delays.

New neural networks using memristors enhance efficiency and adaptability.

A method to improve communication and efficiency in power grids.

New methods improve genetic operators in evolutionary algorithms using deep learning.

Investigating how transformers learn and generalize from compositional tasks.

A framework to improve airport operations during emergencies while maintaining regular flights.

Introducing SpikeVoice, an energy-efficient system for high-quality text-to-speech synthesis.

A novel method to improve efficiency in spiking neural network training.

Techniques for optimizing RNNs, focusing on Mamba and quantization challenges.

New model speeds up simulations of metal behavior in corrosive conditions.

New techniques improve efficiency in complex optimization problems for machine learning.

Combining Stochastic State Classes and simulation offers better analysis of complex systems.

A look into the complexities of the multiparameter matrix pencil problem.

Improving efficiency in solving linear systems from discretized PDEs using SAMs.

Introducing a new method for sampling from complex probability distributions in Bayesian inference.

Learn methods to restore clarity in blurred images, crucial for scientific research.

A new approach quickly predicts ice loss in Greenland's Pine Island Glacier.

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.

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.

A new method estimates power use and heat in CNN accelerators for better performance.

A new method simplifies programming with efficient software generation and improved specifications.

A new framework improves communication reliability in multiparty message-passing protocols.

A powerful tool for in-depth smart contract transaction analysis emerges.

This article outlines a new method to improve Verilog code generation using instruction tuning.

A method for ensuring software correctness through structured analysis.

Haskelite aids newcomers in grasping Haskell through clear evaluation traces.

This framework enhances data science efficiency by converting Python code to SQL.

Security agencies urge software leaders to adopt safer programming practices.

A new dataset aims to support automation in construction processes.

Using mixed reality to enhance drone testing against data attacks.

A new method helps robots navigate and orient correctly for tasks.

OVExp combines language and vision for effective object navigation in varied environments.

Sharing experiences to improve future robotic development.

New features enhance LiDAR segmentation accuracy for safer autonomous driving.

New odometry system improves robot navigation accuracy using internal sensors.

Effective communication is key for robots to follow human instructions accurately.

Study reveals changing patterns of toxicity on Reddit and Wikipedia over time.

Study examines influencer strategies for sponsored content across different countries.

Social media shapes how users interact with political content and influences polarization.

Exploring how online imagery shapes our self-perception and connections.

A novel benchmark to evaluate graph learning methods tackling heterophily and heterogeneity.

Examining how economic factors influence film festival representation worldwide.

Examining the divide between elites and the masses in political discussions online.

Examining the fall of TerraUSD and its impact on the crypto market.

Exploring methods for creating reliable controllers in various environments.

Introducing a method that improves bug-finding in C software development.

Explore MLOps practices in large companies and their real-world challenges.

AI tutors support students in programming courses, enhancing their learning experience.

A powerful tool for in-depth smart contract transaction analysis emerges.

Developers face significant issues when replicating problems shared on Stack Overflow.

Exploring how CSE task recommendations help software practitioners find suitable tasks.

A closer look at methods to ensure LLMs are safe from misuse.

A new dataset enhances machine speech for Mandarin, aiming for natural expression.

A study on improving sound source localization by better using audio and visual information.

A new framework analyzes speech to identify mild cognitive impairment across languages.

Exploring AI's impact on underrepresented music styles.

A method to enhance TTS systems for better pronunciation of OOV words in India.

New machine learning models improve speech clarity for hearing aid users.

Research explores low-frequency audio to protect privacy in social behavior studies.

Exploring how sound behaves in multi-room environments and its implications in technology.

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 event prediction using dynamic causal rules and dual history contexts.

BMLP improves datalog query evaluation using boolean matrices for better performance.

A new framework enhances time series data for energy systems.

Learn how to tackle control systems with limited data using innovative methods.

This paper presents a new approach for efficient reachability analysis in complex control systems.

Funplex improves efficiency in energy systems modeling and stakeholder engagement.

This article compares different ingestible antenna types for health monitoring in the GI tract.

New techniques enhance stability assessments in modern power systems.

A deep learning model improves energy load forecasting for microgrids.

A method to improve communication and efficiency in power grids.