Computer Science

Discover how DSL enhances IoT device collaboration and learning efficiency.

New method improves agent collaboration in diverse learning environments while maintaining data privacy.

A new scheduler improves production efficiency in complex manufacturing environments.

This study explores how robots learn language and actions through experiences.

Generative AI offers new tools for innovative architectural designs and improved efficiency.

New methods improve accuracy in answering complex questions with updated information.

Examining privacy concerns and solutions for Large Language Models in text data.

Quantum computing boosts machine learning efficiency and capabilities through innovative collaboration.

AWN V3 improves accuracy, completeness, and clarity for better language processing.

An automated method for aligning discourse relations from different labeling systems.

A dataset to evaluate social biases in Indian language models.

This study examines how different languages affect multilingual model performance.

This study evaluates cross-lingual performance of multilingual models in named entity recognition.

This study explores how robots learn language and actions through experiences.

New methods improve accuracy in answering complex questions with updated information.

Examining privacy concerns and solutions for Large Language Models in text data.

Analyzing the efficiency and potential of quantum-inspired algorithms in classical computing.

New method uses a Rydberg atom for fast integer programming solutions.

A look into average hereditary graphs and their significance in graph theory.

A deep dive into the geodesic center problem and its implications.

Quantum annealers show promise in solving complex optimization challenges effectively.

A guide on resource allocation strategies to curb illegal activities.

An overview of decision problems and their significance in theoretical computer science.

Analyzing communication strategies among players to improve data processing efficiency.

New methods enhance predictions of complex systems using data-driven reduced-order models.

Learn how data and design improve energy efficiency in maritime transport.

This article discusses how MBDRL optimizes flow control with efficiency and reduced costs.

A fresh model improves understanding of how fibers stick and pull apart.

Hyperdrive streamlines trading of fixed and variable rate financial products.

New techniques enhance language models for finance using Adaptive Semantic Space Learning.

Research highlights innovative techniques for optimizing heat transfer efficiency.

New methods improve accuracy and speed in predicting material fatigue.

VecKM improves local geometry encoding for point clouds, enhancing efficiency and robustness.

A look into the strategies of cops and robbers on different surfaces.

Methods for quickly measuring similarity between complex curves.

A look into the significance and applications of nearly orthogonal sets of vectors.

Learn how researchers tackle the geometric knapsack problem with various shapes to maximize efficiency.

MidSurfer simplifies mid-surface extraction for biological research, enhancing data analysis.

A look at spanners and their role in efficient graph connections.

A new method accelerates merge tree comparisons in scientific data analysis.

Explore how players handle uncertainty in strategic decision-making games.

A look at equitable resource sharing strategies in gaming and real-life scenarios.

A method to maximize profits while considering price and advertising costs across markets.

A look into mean-field games and their role in multiagent systems.

Examining how agents and principals share information on performance metrics.

Analyzing power indices in decision-making groups through voting structures.

A new approach to enhancing machine learning through cooperative game theory.

A new approach to improve investment strategies through player interactions analysis.

Talk3D technology enhances lifelike talking head video creation with audio synchronization.

HITL combines human expertise and machine learning to improve breast cancer treatment.

A new approach to reduce forgetting in machines using human learning principles.

NeSLAM improves 3D mapping and camera tracking for various applications.

A new framework improves understanding and performance of grid-based models.

A new approach to assess confidence in image location matching.

New methods accelerate training for masked image modeling without losing performance.

We introduce a quick method for CIFAR-10 training, enhancing accuracy and speed.

Study showcases machine learning's role in improving breast cancer detection through enhanced recall.

Exploring how employee exits disrupt communication and relationships within organizations.

Research investigates gender bias by evaluating statistical and causal fairness in NLP models.

Exploring copyright issues presented by generative AI and methods for protection.

This article discusses robust accurate fairness in deep learning and its effects.

Examining biases in image generation and their societal impacts.

Climate change is reshaping electricity demand and hydropower generation across Europe.

Study explores how different hint levels assist beginner programmers in learning.

A look at innovative methods in cybersecurity using cyber deception.

Examining Weightless Neural Networks and their role in securing sensitive data.

Hacktivism poses serious risks to satellite security in today's digital landscape.

A study reveals vulnerabilities in popular password management software.

A study on how Large Language Models can improve vulnerability detection in software.

A look into endomorphism rings and their role in elliptic curves and cryptography.

Explores the privacy risks and defenses related to synthetic data created by GANs.

Explore how Liquid Staking Tokens offer flexibility in staking and decentralized finance.

A look at how to learn polynomials despite data corruption.

PCA reduces data complexity while retaining important information across various fields.

Examining sampling methods to improve clustering efficiency and accuracy.

Learn how history trees improve agent interactions in dynamic networks.

A new symmetric approach improves strategy development in discounted payoff games.

New algorithms improve weight-matching in matroids for practical problem-solving.

Developing an algorithm for the efficient factorization of the Brauer monoid.

A deep dive into the geodesic center problem and its implications.

This article discusses the need for better benchmarking in graph processing research.

A framework to extract meaningful patterns from uncertain and noisy datasets.

A look at performance issues in Hyperledger Fabric and Quorum.

Key insights on improving transaction processing in online systems.

Synthetic data enables companies to share insights while protecting sensitive information.

Explore how automated tools assist learners in writing SQL queries effectively.

New algorithms ensure fairness and diversity in data selection.

A novel filter solution for efficient data handling and scalability.

A new framework aiding research in the complex art market.

A new score measures publication impact by balancing citations and publication age.

Enhancing dataset descriptions for better compliance and usability.

A look at shared knowledge and its role in society.

Researchers develop new ways to analyze web data from Common Crawl archives.

A practical approach to improve data handling in cultural heritage through CHAD-AP.

This study uses computational methods to analyze running titles in historical texts.

A new app helps those with epilepsy track and manage their health effectively.

Exploring role assignments in graphs and their applications in various fields.

This article explores how q-deformed coefficients enhance our understanding of word patterns.

Explore the role of bent and negabent functions in secure data transmission.

Exploring the new -deformations in Parikh matrices and their implications in combinatorial studies.

A look into average hereditary graphs and their significance in graph theory.

A look into how tangles assist in data grouping and analysis.

A look into the significance and applications of nearly orthogonal sets of vectors.

Explore methods for identifying stable sets within graph structures governed by matroid rules.

THEMIS improves fairness and efficiency in multi-tenant FPGA resource scheduling.

FedD2S enhances Federated Learning by personalizing models while preserving data privacy.

A framework for training machine learning models while protecting privacy.

A new framework aims to improve DSL interoperability and efficiency in HPC.

A system that optimizes calculations for sparse matrices using blocked storage.

This paper discusses DAOS's potential to enhance weather prediction data management.

Research focuses on optimizing transformers for small devices with limited resources.

Learn how history trees improve agent interactions in dynamic networks.

Research shows simpler reservoirs enhance accuracy in chaotic time series forecasting.

New device enhances light-based computing for AI tasks.

New course combines quantum and classical computing for future readiness.

Examining the growth of Femtech and the associated privacy concerns.

A new AI approach aims to improve image and video generation speed and efficiency.

Discover how neuromorphic computing improves communication in microgrids.

A deep dive into Decentraland's land trading dynamics and dataset.

Service Weaver streamlines the building of cloud-native applications by reducing complexity.

This article discusses how data-driven methods improve control systems through simplified models.

A new method for robot planning improves adaptability in changing environments.

This article explores how q-deformed coefficients enhance our understanding of word patterns.

Exploring the new -deformations in Parikh matrices and their implications in combinatorial studies.

A new method automates analysis of probabilistic program outputs.

A study on implicit automata and affine logic for string transformation.

A deep dive into timed automata and their learning processes.

Exploring profinite trees' role in understanding regular languages.

A novel approach improves high-resolution holography processing and memory usage.

A method that combines language and physical properties for dynamic 3D scene creation.

This article outlines a method for making digital twins of moving objects.

Revolutionize how we visualize and analyze categorical data through similarity patterns.

A new method enhances text-to-image models for better identity representation.

This method improves 3D scene quality using camera and sonar data.

MidSurfer simplifies mid-surface extraction for biological research, enhancing data analysis.

A new method for visualizing large molecular scenes with trillions of atoms.

New model improves circuit design prediction through directed hypergraphs.

A new design improves spiking neural networks for flexible research.

Analyzing hardware and software for efficient quantum computing solutions.

A new lightweight model improves target recognition in synthetic aperture radar images.

Introducing a new programming model for efficient hardware accelerator development.

A new AI approach aims to improve image and video generation speed and efficiency.

Exploring the design and benefits of a PMU for RISC-V processors used in space.

WaSP optimizes GPU scheduling for better graphics performance in mobile devices.

Integrating street-view images into driving routes enhances user experience.

Explore how street view imagery aids urban planners in creating better cities.

Study explores how language models work with humans and each other in task completion.

DeLVE exhibit enhances understanding of deep time through interactive digital displays in museums.

Key strategies for improving clarity in visual data representation.

This study examines how large language models mimic human biases.

A new platform combines automation with human input for better sleep study scoring.

How different communication methods influence decision-making in uncertain situations.

A new approach to enhance recommendations while keeping user data private.

A look into dense and generative retrieval techniques and their impact.

A new dataset improves retrieval of prior cases for legal professionals.

Leveraging NLP to efficiently extract information from lengthy legal judgments.

Automated systems streamline data collection from scientific literature in chemistry.

A new method streamlines document reviews using Chao's Population Size Estimator.

Introducing a framework for more accurate query performance assessment in information retrieval.

Examining web publishers' rights against AI content use.

Explore techniques enhancing full-duplex communication in mmWave MIMO systems.

A look into Hopfield networks for pattern recognition and memory storage.

A deep dive into methods for estimating the mean of probability distributions.

A new method enhances LDPC code decoding using MP-XOR-SAT and Margin Propagation.

Learn how RIS can enhance network performance in challenging environments.

BD-RIS offers improved wireless communication through advanced configurations.

Explore the role of bent and negabent functions in secure data transmission.

New techniques enhance the efficiency of diffusion models for generative tasks.

Explore how players handle uncertainty in strategic decision-making games.

This work presents a systematic framework for analyzing machine learning algorithms.

Discover how Homotopy Type Theory transforms our view of sets and types.

A system that helps robots detect and fix task failures in real-time.

A look into regular languages, their properties, and related functions in computer science.

This article discusses how reset strategies enhance SAT solver performance using reinforcement learning.

A look into the satisfiability problem and its implications in logic.

This article examines non-wellfounded proofs and their role in computational logic.

A new framework enhances learning and predictions in chaotic environments.

A new method improves moment estimation with less computation and greater accuracy.

Examining Weightless Neural Networks and their role in securing sensitive data.

Discover how DSL enhances IoT device collaboration and learning efficiency.

A look into Hopfield networks for pattern recognition and memory storage.

New method improves agent collaboration in diverse learning environments while maintaining data privacy.

New prototype garment enhances smart clothing with efficient sensing technology.

HITL combines human expertise and machine learning to improve breast cancer treatment.

A new framework aims to improve DSL interoperability and efficiency in HPC.

A look into Appell and Lauricella functions and their impact on scientific calculations.

CBC3D offers improved mesh generation for surgical planning and simulations.

GeoFlood helps predict water spread during floods, improving safety and preparedness.

SUGAR simplifies geometric algebra for engineers and mathematicians using Matlab.

Learn how Python aids in minimizing energy in complex systems.

A tool to generate and analyze synthetic sparse tensors in various fields.

Discover how LaSDI transforms complex simulations into efficient models.

UniV2X enhances autonomous driving through vehicle-infrastructure collaboration.

A look into mean-field games and their role in multiagent systems.

A novel approach allows agents to optimize collaboratively with minimal data sharing.

Study of teamwork among agents with unique coordination challenges.

Best Response Shaping improves cooperation among agents in competitive environments.

A look at effective strategies for negotiating contracts within financial networks.

MACM method improves large language models' accuracy in tackling complex math problems.

Revolutionizing agent performance through evaluation and experience accumulation.

A new way to animate portraits with changing expressions and angles.

New method enhances 3D data compression while maintaining quality.

CIRP enhances item representation for better online product bundling.

Exploring how IoS could transform our digital experiences by engaging all senses.

DIBS enhances video event captioning by refining boundaries using unlabeled data.

Combining images and text improves accuracy in 3D depth estimation.

WebXR transforms how we engage with immersive digital environments.

New method enhances speech synthesis for individuals who cannot speak.

A look at innovative methods in cybersecurity using cyber deception.

Discover how DSL enhances IoT device collaboration and learning efficiency.

Examining how electric cars impact access to services during power outages.

Exploring how IRL enhances network performance through expert behavior learning.

Drones improve efficiency and safety through advanced communication protocols in swarms.

Learn how RIS can enhance network performance in challenging environments.

Exploring how IoS could transform our digital experiences by engaging all senses.

SMaRTT offers a fast solution to congestion problems in machine learning data transfers.

NYCTALE improves lung nodule assessment through advanced analysis of CT scans.

New memristive devices mimic brain functions, boosting AI learning efficiency.

A look into how agents adapt their learning for food gathering.

A look into how matter is distributed in the universe through symbolic approximations.

SpikExplorer simplifies the design of energy-efficient Spiking Neural Networks for portable devices.

PNCs merge neural networks and probabilistic circuits for better prediction and modeling.

A new perspective on how neural networks learn features through expert-like paths.

New methods improve efficiency in target set selection for network influence.

New methods enhance predictions of complex systems using data-driven reduced-order models.

Study of fluid dynamics over obstacles enhances knowledge in various fields.

Examining methods used to simulate how solids move through fluids across various fields.

New method enhances uncertainty quantification in DeepONets using Ensemble Kalman Inversion.

Efficient techniques for solving complex matrix equations in various scientific fields.

New methods improve stability and accuracy in solving complex equations.

New methods improve our ability to find polynomial roots efficiently.

This article explores stiffness and chaos in differential equations and their impact on numerical solutions.

THEMIS improves fairness and efficiency in multi-tenant FPGA resource scheduling.

This review outlines a framework for AIOps in incident management.

Compartmentalization offers a way to boost security in monolithic operating systems.

A new method to reduce data center memory costs effectively.

A new system improves function scheduling and resource management in serverless computing.

Berrify strengthens BPF security against Spectre vulnerabilities without sacrificing performance.

A new approach to caching offers better performance in dynamic environments.

A new technique for dynamic memory allocation improves efficiency in large language models.

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.

A look at innovative methods in cybersecurity using cyber deception.

Key insights on improving transaction processing in online systems.

A system that optimizes calculations for sparse matrices using blocked storage.

Research focuses on optimizing transformers for small devices with limited resources.

Analyzing hardware and software for efficient quantum computing solutions.

Examining how customers choose between serving stations and its impact.

Explore performance modeling to enhance efficiency in multi-GPU machine learning training.

LLAMP assesses network latency tolerance for high-performance computing applications effectively.

Discover the importance of cost-sensitive programming in optimizing resource management.

Analyzing termination issues in nondeterministic quantum programs using mathematical techniques.

A method to automatically verify data structures against representation invariants using advanced techniques.

Learn how LLMs can help make C programming safer and more efficient.

A new model improves the analysis of WebAssembly code through mixed data understanding.

A new method improves trust in automated program verification.

A new method automates analysis of probabilistic program outputs.

A new approach to streamline effectful computations in programming languages.

NeSLAM improves 3D mapping and camera tracking for various applications.

This study explores how robots learn language and actions through experiences.

Exploring the impact of voice and appearance on gender perception in robots.

A new method for robots to learn continuously from limited data.

New model improves robotic fruit harvesting accuracy using 3D point cloud data.

Research enhances robot exploration by improving decision-making using active perception methods.

A system that helps robots detect and fix task failures in real-time.

UniV2X enhances autonomous driving through vehicle-infrastructure collaboration.

Exploring how employee exits disrupt communication and relationships within organizations.

A new method quantifies sexism and toxicity in digital discussions.

Study examines the effects of defederation on user activity and message toxicity.

New evaluation methods aim to improve detection of harmful content online.

Research investigates how network structure relates to stability using advanced methods.

Examining the use-mention distinction in speech online.

New models enhance analysis of complex systems through directed hypergraphs.

This article discusses efficient methods for estimating parameters in agent-based models.

A study on how Large Language Models can improve vulnerability detection in software.

FT2Ra enhances code completion efficiency through retrieval methods without full model retraining.

A study on how well LLMs handle variations in mathematical prompts.

This review outlines a framework for AIOps in incident management.

Learn how LLMs can help make C programming safer and more efficient.

A study on developers' use of unsafe code in Rust.

This paper discusses improving software behavior through liveness requirements.

EV2Gym helps researchers develop advanced smart charging solutions for electric vehicles.

New method integrates speech signals for enhanced depression detection.

This article discusses methods to create immersive sound fields using various arrangements.

A new method reduces unwanted metallic sound in audio reverberation.

Chirp MFCC enhances audio signal representation for better classification and recognition.

EMO-SUPERB project enhances speech emotion recognition through improved techniques and community collaboration.

A new system to evaluate audio codec performance across various applications.

This study reviews how batch size influences speech model performance and training.

Discover how AI is transforming music creation through collaboration with humans.

Learn about WebPie, a simple language using dependent types for safe programming.

Exploring AI's role in shaping music through advanced techniques and structures.

Exploring total division in mathematical structures and its implications.

A new method enhances DAE regularization techniques for better efficiency and accuracy.

Introducing new methods to improve optical flow estimation using event-based cameras.

A new approach enhances the evaluation of dynamic relationships using Petri nets.

This paper presents a new sub-polyhedral domain for optimizing machine learning compilers.

AutoLINC automates loss function design for better handling of class imbalance in machine learning.

A look at innovative methods in cybersecurity using cyber deception.

Analyzing the changes and challenges in the Nordic power market.

A new scheduler improves production efficiency in complex manufacturing environments.

Examining how electric cars impact access to services during power outages.

Hacktivism poses serious risks to satellite security in today's digital landscape.

This study focuses on improving adaptability in deep reinforcement learning algorithms.

A method combining Koopman operator and kernel approaches for improved nonlinear system control.

This article discusses how data-driven methods improve control systems through simplified models.