Computer Science

This study focuses on offline reinforcement learning and algorithm development to improve decision-making.

New method optimizes image segmentation by diversifying context examples.

A look at PAC learning and its role in efficient data-driven decision-making.

A new system improves recommendation predictions using standard hardware efficiently.

New methods improve decision-making in various fields through reinforcement learning.

A new model enhances the classification of long documents by integrating text and images.

A new method improves recommendations by filling in missing data using Large Language Models.

Exploring the intersection of Riemannian geometry and EEG signal analysis in BCIs.

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

BiasAlert enhances bias detection in language models for fairer AI outputs.

A new method reduces awkward translations using visual aids in data collection.

Researchers explore textless approaches for better understanding of spoken language.

Preset-Voice Matching improves speech translation while ensuring privacy and reducing risks.

TokenSHAP reveals how words impact language model responses.

This study explores how emotions from news headlines can be interpreted through personal explanations.

Exploring how AI can generate fun word puzzles for players.

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.

An overview of matrix groups, orbit problems, and their computational implications.

An in-depth look at the challenges in P3-arrowing within graph theory.

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 new approach to dynamic interest rates and collateral management in DeFi lending.

A new method improves predictions in complex systems using deep learning and Gaussian processes.

New method improves mesh adaptation for solving complex equations.

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.

Learn how graph embedding can improve analysis of complex networks.

A look at systoles and their calculation on combinatorial surfaces.

This article examines distance functions and their significance as topological Morse functions.

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.

This article discusses fair and efficient ways to allocate indivisible goods.

Exploring strategies for effective communication in product adoption.

New method optimizes image segmentation by diversifying context examples.

EFLD offers a lightweight solution for real-time facial landmark detection on edge devices.

New method using AI enhances road surface defect classification with multiple data sources.

A new method aims to secure semi-supervised learning against backdoor threats.

A novel method enhances adversarial attacks in machine learning models using CLIP.

New method enhances image quality affected by rain, snow, and fog.

A new method enhances camera-based 3D detection using LiDAR and accurate labels.

New features enhance LiDAR segmentation accuracy for safer autonomous driving.

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

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

Researchers create a webcam-based dataset for pupil size measurement.

This study examines AI's role in generating test questions for education.

Examining how economic factors influence film festival representation worldwide.

This article discusses using Reinforcement Learning to reduce bias in classification tasks.

Examining the risks and safety measures for LLM-powered robots.

A new method assesses misleading data associations in machine learning models.

IdentityChain combines privacy and compliance for secure identity management.

Preset-Voice Matching improves speech translation while ensuring privacy and reducing risks.

CICAPT-IIoT aids in detecting advanced cyber threats in industrial IoT networks.

This article discusses retraining methods using model predictions for improved accuracy.

This article examines how data preparation affects machine learning in cybersecurity.

A novel approach for proving ownership of language models.

This article discusses safeguarding GNNs from data poisoning and backdoor attacks.

Exploring privacy risks in synthetic data and introducing the Data Plagiarism Index.

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.

A look into trace reconstruction methods used for data recovery.

Learn how vertex sparsification improves graph analysis and application.

Examining the challenges and solutions in data completion through graph theory.

A look into minimal transversals and their significance in hypergraphs.

Learn how low rank approximation simplifies large datasets for efficient data analysis.

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.

LITS enhances string indexing performance, overcoming limitations of traditional methods.

New tools allow intuitive data queries using natural language.

A new approach to analyzing unstructured data using advanced querying 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.

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

Access over 2 billion unique citation links for open research.

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 deep dive into graceful coloring and its significance in graph theory.

Introducing MRBM for improved biological process representation.

A look at competition in prize collection through route planning.

This article explores the normality of Boolean functions with 8 variables.

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.

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

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 role of neuromorphic systems in managing microgrid challenges.

Exploring Hyperledger Fabric's impact on electronic health records in South Africa.

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.

Exploring the patterns within language and sequences through palindromic constructs.

A novel approach to enhance query evaluation in dynamic data streams.

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.

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.

CHOSEN framework enhances Vision Transformers for efficient FPGA use.

IICPilot simplifies backend design tasks for engineers using integrated circuits.

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

Examining privacy challenges faced by workers in home office environments.

Exploring the intersection of Riemannian geometry and EEG signal analysis in BCIs.

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

This article reviews the reliability of models in analyzing visual data.

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

Researchers create a webcam-based dataset for pupil size measurement.

Examining the role of LLMs in qualitative analysis and human oversight.

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.

A new method improves recommendations by filling in missing data using Large Language Models.

Enhancing online user experiences through effective behavior analysis.

A new method enhances the retrieval of scientific documents.

A study on enhancing LLM accuracy through intent-driven retrieval methods.

ClaimCompare helps identify related patents affecting invention uniqueness.

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 the future of wireless communication with 6G technology and its benefits.

An overview of completely decomposable codes and their applications in coding theory.

Exploring the integration of communication and sensing through active RIS and NOMA.

A new method assesses misleading data associations in machine learning models.

This article introduces minimax quantiles for better statistical estimates.

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 method for ensuring software correctness through structured analysis.

Explore the role of proof systems in tense logics and their interrelation.

A look at strategic dominance and its impact on computational models.

A new approach to understanding how groups share and develop knowledge.

Discover how game comonads connect logical properties with mathematical structures.

Exploring the implications of the infinite pigeonhole principle in various fields.

This study focuses on offline reinforcement learning and algorithm development to improve decision-making.

Researchers develop methods to solve complex FPL equations more efficiently.

Explore how self-modeling enhances machine efficiency and teamwork.

A look at PAC learning and its role in efficient data-driven decision-making.

Examining how data imbalance affects machine learning model performance.

New features enhance LiDAR segmentation accuracy for safer autonomous driving.

A new method combines divide-and-conquer MCMC with diffusion models for better sampling.

Preset-Voice Matching improves speech translation while ensuring privacy and reducing risks.

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.

ideal.II makes using space-time methods in deal.II easier for engineers and scientists.

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 new method for guiding robotic sheep using robotic dogs in challenging environments.

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.

Combatting misleading information through new methods and technologies.

A new system combining text and image analysis to fight misinformation.

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 methods improve wireless signal prediction and localization using neural networks.

Learn how NB-IoT connects multiple devices efficiently for various applications.

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.

Research shows how variability enhances ANN controllers for better performance in diverse environments.

Researchers develop methods to solve complex FPL equations more efficiently.

A look into the formation and impact of rogue waves.

A look into the Trotter-Kato splitting method and its role in quantum mechanics.

Effective methods for understanding random forces in mechanical systems.

A deep dive into the intricate world of Grassmannian optimization.

New method improves solving PDEs without global mesh.

An overview of how quantum information is transmitted and manipulated.

Study of phase separation through advanced numerical techniques.

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 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.

Techniques for better maintenance and performance of static analysis tools.

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

Learn how reactive graphs adapt in response to user interactions.

A new approach to simplify handling custom scientific data formats.

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.

Robots are improving in exploring unknown places with a new method.

FR-SLAM enhances robot mapping and navigation, crucial for emergency situations.

Comparing NeRF and SLAM methods in creating accurate 3D models.

A new scale evaluates how people perceive robot capabilities through communication.

Exploring DINO pre-training's impact on autonomous vehicle performance and adaptability.

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.

Examining the dynamics of AI-generated content on Civitai.

Combining snapshot and event-based models to improve temporal graph analysis.

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

Debloating software enhances speed and security by removing unnecessary code.

Study develops models to predict software bugs in real-time for complex systems.

Data augmentation boosts software vulnerability assessment accuracy amidst data imbalance.

A new method enhances chatbot training through automated query generation.

CoDAT ensures code comments stay updated and relevant for developers.

Learn effective methods to estimate the energy footprint of software.

Many users are unaware of risks in smart contracts like USDT.

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.

New AI tools are simplifying music editing with innovative techniques and improved precision.

Preset-Voice Matching improves speech translation while ensuring privacy and reducing risks.

A new system helps musicians create music with greater control and precision.

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

A new text-to-audio model using only public data.

Rasa dataset advances text-to-speech for Indian languages with neutral and expressive speech.

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.

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.

This article presents a method to enhance safety and stability in automation systems.