Computer Science

A new method blends deep learning and constraint programming to enhance job scheduling.

A new method enhances trust in predictions for businesses using counterfactual explanations.

A resource designed to help robots learn everyday tasks effectively.

A fresh approach to manage blackouts in power systems through advanced decision-making.

Discover new strategies for optimizing job shop scheduling with self-supervised learning techniques.

A new dataset helps improve fake news detection across various platforms.

A novel method helps AI learn diverse skills for various challenges.

Improving robustness against adversarial attacks in vision-language models.

A new method enhances probability accuracy in language models without extra data.

Using chatbots to improve AI research classification and understanding.

A new dataset helps improve fake news detection across various platforms.

TaxoLLaMA enhances understanding of word meanings and relationships for better language processing.

DORIS analyzes social media posts to identify signs of depression early.

Research highlights new methods for understanding climate messaging online.

A new method enhances training speed and reduces memory use for language models.

EXPLORER combines neural and symbolic reasoning to enhance AI in text-based games.

This article examines links between Depth-3 circuits and SAT problem-solving techniques.

This paper presents a novel framework using quantum neural networks for unitary matrix approximation.

This article examines the complexities and limitations of sparse linear regression methods.

A look into a privacy-preserving proof system in cryptography.

A look at efficient data compression and retrieval methods.

Exploring methods to enhance agreement testing with low acceptance rates.

This article discusses the minimum depth for circuits encoding error-correcting codes.

A new approach to streamline role-based access control.

A new approach to handle complex changing domains in numerical simulations.

This article examines citation manipulation and its effects on research evaluation.

New methods using GPUs enhance linear solvers for better decision-making.

HDLdebugger automates and simplifies the process of debugging HDL code for engineers.

Using quantum algorithms to improve laminate design and stacking sequences.

A look at methods to improve model predictions and reduce uncertainty.

Research into KRAS inhibitors highlights innovative approaches in drug discovery.

Examining methods for better signal detection through integer solutions.

Examining the link between asset pricing factors and market performance using random portfolios.

An improved algorithm for cycle packing in unit disk graphs.

This research presents a new perspective on guarding polygons with robust vision.

Explore the role of sparse covers in algorithm design and network efficiency.

Polylla offers efficient polygonal mesh generation using GPUs for various applications.

A new method simplifies calculations on polygonal shapes directly.

Improving methods for fitting polygons in computational geometry.

Robots learn to identify arena shapes through local communication and teamwork.

This article examines how miners manage transaction scheduling in decentralized cryptocurrencies.

A look into transaction fee mechanisms and their impact on blockchain fairness.

A new approach to understanding crypto market dynamics through advanced modeling techniques.

CIS-UNet improves aorta segmentation for better surgical planning.

Discover how cooperative exporting aids agri-food SMEs in overcoming global market challenges.

Research into KRAS inhibitors highlights innovative approaches in drug discovery.

An analysis of claims trading to stabilize distressed banks and manage systemic risk.

Exploring how agents adapt their strategies in complex networked systems.

Switch-DiT improves image generation through innovative denoising task relationships.

This article discusses methods to improve deep learning's resilience to adversarial examples.

Improving robustness against adversarial attacks in vision-language models.

A new method enhances object detection by addressing domain shifts using attention mechanisms.

A novel approach improves shape representation in complex 3D data.

New techniques enhance CBCT image quality and speed for better patient outcomes.

A new method enhances matching across visible and infrared camera images.

This study enhances facial AU detection using synthetic data for better accuracy and fairness.

Examining how social media shapes discussions on morality and political issues.

Research highlights new methods for understanding climate messaging online.

Addressing safety concerns in online intimate interactions.

Exploring how to build safety cases for AI technologies.

A practical approach to address ethical issues in data science teams.

A framework to detect emotions in memes using visual and textual analysis.

Daily habits influence health; technology helps track and improve them.

Exploring the impact of Diffusion Models on copyright laws for artists.

This article discusses methods to improve deep learning's resilience to adversarial examples.

This article examines game theory's role in understanding cybersecurity threats and strategies.

A novel approach to find backdoor samples without needing clean data.

New watermarking method strengthens protection of machine learning models against theft.

New hardware trojans pose serious risks in modern CPU designs.

New methods for creating MDS and involutory MDS matrices improve data security.

Research reveals effective attack on LWE systems with sparse binary secrets.

New model adapts to evolving data poisoning threats using interactive game theory strategies.

New methods in quantum phase estimation aim for enhanced measurement accuracy.

Introducing parametric causal factor graphs for improved decision-making strategies.

A new algorithm enhances detection of exchangeable factors in factor graphs.

This paper presents a novel framework using quantum neural networks for unitary matrix approximation.

An improved algorithm for cycle packing in unit disk graphs.

Exploring piecewise-constant lifting for improved integer programming solutions.

Learn how to improve linear regression by tackling self-selection bias.

Exploring the applications and algorithms of minimal spanning arborescences in various fields.

New model adapts to evolving data poisoning threats using interactive game theory strategies.

A new method for managing data flow while respecting user privacy choices.

Learn how programming frameworks enhance differential privacy for data analysis.

A new tool to improve access and analysis of agricultural data.

Improving efficiency in Datalog through semirings and grounding techniques.

A new approach to handle indexing of uncertain strings effectively.

Learn how to find and combine data for better table creation.

A systematic approach to enhance POI predictions using remote sensing data.

This article examines citation manipulation and its effects on research evaluation.

Examining the rise of scientific misconduct and its impact on research quality.

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.

An overview of contraction perfect graphs and their significance in graph theory.

Businesses face challenges in facility placement with fluctuating customer demand and congestion.

Exploring piecewise-constant lifting for improved integer programming solutions.

Explore the significance and applications of combinatorial theory in various fields.

A look into Petri nets for modeling complex systems and their behaviors.

Exploring the relationship between graphs and quantum states for efficient communication.

Study the transition from rational subsets to bounded regular languages through automata.

Exploring the Non-Cancelling Intersections Conjecture's impact on set theory.

ExeGPT improves efficiency in running large language models for NLP tasks.

Revolutionizing data sharing and safety in vehicle networks with new learning frameworks.

Introducing DUETS: a method for optimizing distributed decision-making with minimal communication.

Earth+ enhances satellite imagery transmission by focusing on changes in images.

A new system enhances the output and cost-effectiveness of large language models.

A new approach improves scalability in asynchronous BFT systems.

BeRGeR offers reliable message delivery in networks facing faults.

A look at threats posed by LLMs and strategies for defense.

Learn the basics and future potential of quantum computing technology.

Exploring 3D BioFETs to enhance communication in organoid systems.

Assessing the reasoning abilities of LLMs through the ARC benchmark.

Using quantum algorithms to improve laminate design and stacking sequences.

A novel pruning method enhances efficiency of deep learning in crossbar systems.

A new method addresses DNA data storage challenges for better reliability.

Learn how DNA storage could change data archiving with variable payload lengths.

A new method uses quantum computing to tackle complex delivery routing challenges.

Explore the significance and applications of combinatorial theory in various fields.

A look into right-linear grammars and their logical implications.

Study the transition from rational subsets to bounded regular languages through automata.

This article discusses how robots can better understand human preferences in task execution.

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 novel approach improves shape representation in complex 3D data.

Examining how social media shapes discussions on morality and political issues.

N2F2 enhances machine interpretation of images through multi-level analysis and language integration.

Learn how saliency maps enhance image and video generation.

StyleSketch transforms photos into high-quality sketches using minimal data.

ColorVideoVDP enhances how we measure image and video quality.

ProgrammableGrass uses artificial grass to create natural displays of images and animations.

Introducing a new fast approach to change images with text input.

A new design enhances vehicle security through advanced intrusion detection systems.

Introducing DG-RePlAce, a tool enhancing placement tasks for machine learning accelerators.

HDLdebugger automates and simplifies the process of debugging HDL code for engineers.

A new approach combining weight and token pruning for efficient image processing.

A new method improves memory access prediction and reduces unnecessary DRAM transactions.

SiNPhAR utilizes silicon nitride to enhance photonic acceleration in deep learning tasks.

Optimizing CNN performance on FPGAs through memory management techniques.

Learn how IEEE 1394 ensures reliable data transmission through its layered structure.

Interactive dialogues enhance learning experiences and boost student engagement.

Research reveals preferences of BLV users for video access.

A practical approach to address ethical issues in data science teams.

Examining the social connections of late-life migrants.

Exploring connections between gaming speedruns and quantum physics concepts.

A method to help the visually impaired recognize sounds in mixed reality.

Investigating AI's ability to create original project titles for crowdfunding.

Exploring how VR aids in studying pedestrian interactions with self-driving cars.

FeatUp improves image feature resolution, enhancing performance in computer vision tasks.

This paper discusses improving recommendations using large language models and in-context learning.

Learn how partial feedback can streamline mode estimation in large datasets.

A new model enhances logic query responses using language models and knowledge graphs.

Examining the role of data augmentation versus contrastive learning in recommendations.

New methods enhance efficiency in recommendation systems by addressing data sparsity.

Learn the basics and importance of information extraction in processing text data.

A new method improves recommendation systems by aligning various types of data.

Research focuses on energy-efficient trajectory planning for UAVs in communication.

Exploring communication methods for reliable IoT systems in diverse environments.

Learn how partial feedback can streamline mode estimation in large datasets.

New findings enhance list-decoding efficiency for polynomial ideal codes in error correction.

Learn how robust Gray codes minimize errors in data processing.

A study on adaptive relaying codes for better data communication.

Examining energy management techniques in complex systems across various fields.

Combining sensing and communication for efficient technology solutions.

Explore enriched categories and their impact on mathematics and computer science.

EXPLORER combines neural and symbolic reasoning to enhance AI in text-based games.

Examining how graph rewriting systems operate through structured frameworks.

Exploring a new approach to understanding modal logic through base-extension semantics.

A look into right-linear grammars and their logical implications.

Explore solutions for agents moving through shared spaces without collisions.

A look into Petri nets for modeling complex systems and their behaviors.

Discover the expanding field of Homotopy Type Theory and its implications.

Improving model efficiency with new active learning techniques for incomplete data.

Discover new strategies for optimizing job shop scheduling with self-supervised learning techniques.

A new method enhances probability accuracy in language models without extra data.

This article discusses methods to improve deep learning's resilience to adversarial examples.

New methods enhance model learning by including slower devices in federated learning.

A novel method helps AI learn diverse skills for various challenges.

Improving robustness against adversarial attacks in vision-language models.

Introducing Dual-Space Optimization to enhance drug design processes.

A look at numerical computation and its applications in various fields.

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.

A new approach to understanding crypto market dynamics through advanced modeling techniques.

Exploring how deep learning helps us study the emergence of language.

A new logic improves the study of agent interactions in complex systems.

Examining pricing strategies for effective ride-pooling services and their impact.

This paper explores how semantic decoding improves AI teamwork and outputs.

Introducing a framework for AI collaboration with agents whose goals are not clear.

Optimizing agent behavior through norms and sanctions in complex systems.

BDoG improves AI reasoning by integrating various data types effectively.

A method to reduce redundancy in multi-view data representations.

CoAVT integrates audio, visual, and text data for enhanced understanding.

Create talking avatar videos easily with Virbo's innovative system.

WiMANS dataset enables tracking of multiple users' activities using WiFi signals.

A new framework simplifies video editing tasks using image editing tools.

BDoG improves AI reasoning by integrating various data types effectively.

Heracles combines transformers and state space models for improved data processing.

A new method integrates acoustic information into language models for better speech recognition.

Exploring communication methods for reliable IoT systems in diverse environments.

Revolutionizing data sharing and safety in vehicle networks with new learning frameworks.

A new method to improve handover processes in 5G mobile networks.

Earth+ enhances satellite imagery transmission by focusing on changes in images.

Introducing a hierarchical digital twin strategy for efficient 6G telecommunications.

New strategies enhance IoT network performance and energy efficiency.

Utilizing simulations to develop effective algorithms for drones and autonomous flying systems.

UMBRELLA is a living lab for testing IoT technology in real-world settings.

EMBGO improves search for optimal solutions in complex numerical tasks.

New framework improves pedestrian intention prediction for self-driving cars.

Researchers simplify neural networks to boost performance on limited-resource devices.

New method combines neural networks for improved efficiency and performance.

A look at how neural networks can model complex functions in various fields.

A new method to improve deep learning model training efficiency.

New methods enhance the prediction of diverse crystal structures for advanced materials.

A multi-objective method for maximizing influence while considering various factors.

This article discusses efficient techniques for solving Maxwell's equations in various media.

A new approach improves accuracy in soil and water interaction modeling.

Introducing EPIC, a method for efficient eigenvalue computation.

Introducing a framework for studying complex biological interactions using optimal transport theory.

A look into how ocean floor shape affects wave dynamics.

Explore methods that simplify complex time-varying systems in quantum mechanics.

A look at how Wilcox and Fer expansions help solve differential equations.

Exploring the effects of randomness on phase separation in materials.

LLMs are set to improve privacy and functionality on mobile devices.

Introducing a secure yet efficient method for managing private data.

A system of handles improves memory management and reduces fragmentation in unmanaged languages.

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.

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 new system enhances the output and cost-effectiveness of large language models.

Streamlining the calibration process for more accurate simulations in distributed computing.

Study reveals how AMD's Zen+ architecture executes instructions for better software optimization.

SiNPhAR utilizes silicon nitride to enhance photonic acceleration in deep learning tasks.

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.

A framework simplifies peephole optimizations for better performance in Java applications.

Learn how programming frameworks enhance differential privacy for data analysis.

A new method to ensure JavaScript regex reliability and clarity.

Linguacodus translates natural language into computer code for machine learning tasks.

Discover the basics and significance of dependent type theory in computation.

Learn how SSR enhances proof management in Lean 4.

Lean 4 enhances formal verification with an external verifier for more accurate proofs.

Exploring how AI impacts software development and coding practices.

A resource designed to help robots learn everyday tasks effectively.

A method combining task prioritization and efficient computation for robotic control.

A new platform enhances safety analysis for self-driving cars against potential threats.

A comprehensive dataset for improving robotic grasping techniques across various grippers.

A new method enhances trip planning efficiency for electric vehicle drivers.

NARRATE enables robots to follow everyday language commands for various tasks.

Research reveals methods to boost robot performance through evolution and learning.

A new method improves calibration accuracy for MIMO radar and optical sensors in close ranges.

Examining how social media shapes discussions on morality and political issues.

Research highlights new methods for understanding climate messaging online.

This study examines communities sharing low-credibility news on social media.

Analyzing overdose journeys reveals significant trends and geographic patterns.

This study examines vaccine discussions on Twitter across Europe during the COVID-19 pandemic.

SleepNet uses data from devices and social networks to predict sleep duration.

This article examines citation manipulation and its effects on research evaluation.

An analysis of modern tactics used to influence voters in elections.

Examining PEFT methods in LLMs for code generation and summarization in R.

FuseFL enhances fault localization by combining various data sources for clearer explanations.

An analysis of developer interactions with ChatGPT on GitHub.

A new method improves code completion by reducing unnecessary information retrieval.

Learn how to verify complex systems efficiently using modern methods.

A framework simplifies peephole optimizations for better performance in Java applications.

A new framework simplifies testing JIT compilers by generating automated test cases.

SliSE improves detection of reentrancy vulnerabilities in complex smart contracts.

New methods enhance accuracy in noisy speech recognition using large language models.

Analyzing hen sounds helps improve their health and farm productivity.

A method to help the visually impaired recognize sounds in mixed reality.

This article discusses solutions for speech applications in languages with limited transcribed data.

Researchers combine generative and discriminative methods for improved sound classification.

A new model improves voice identification security and resists voice spoofing.

A look at Gaussian Adaptive Attention for improved AI performance.

Research shows deep learning improves our grasp of language rhythm.

Explore solutions for agents moving through shared spaces without collisions.

Assessing the reasoning abilities of LLMs through the ARC benchmark.

This method improves tracking of solutions in changing systems of equations.

A novel algorithm improves computation of polynomial equations using Gröbner bases and Hensel lifting.

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.

A fresh approach to manage blackouts in power systems through advanced decision-making.

A new platform enhances safety analysis for self-driving cars against potential threats.

A look at the benefits of energy-efficient CAM systems using RRAM technology.

New methods improve accuracy in vehicle dynamics estimation using digital twins.

A method to improve energy planning under uncertainty.

Revolutionizing data sharing and safety in vehicle networks with new learning frameworks.

Study proposes a benchmark for controlling autonomous vehicle groups effectively.

A new design enhances vehicle security through advanced intrusion detection systems.