Computer Science

A novel approach to decision-making using minimal samples.

A look into methods for evaluating space collision risks and uncertainties.

A look at the risks and assessments for Large Language Models in security.

UP-CrackNet offers a new approach to detecting road cracks with less human involvement.

Examining the role of communication in fairness decisions within AI systems.

A new method improves causal learning despite missing data and cyclical relationships.

The Model Openness Framework sets standards for transparency and trust in AI development.

New models improve security for IoT devices by addressing data complexity.

A new framework enhances logical reasoning for large language models using Lean.

SemLa offers new insights into complex text classification challenges.

A study evaluates how well open-source LLMs understand and use Spanish.

Using language models to enhance training for peer counselors.

Introducing Stance Reasoner to improve stance detection in social media.

A study on measuring how similar spoken phrases are in conversations.

Two innovative algorithms effectively create subtle adversarial examples in language processing.

A new framework improves how language agents learn and perform tasks.

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.

Exploring Dense-Sparse LPN and its potential in cryptographic security.

Examining the challenges of sampling from Hamming weight distributions.

Examining the complexities of learning Boolean functions with averaged labels.

Examining the challenges of locating kings in directed graphs.

Research into KRAS inhibitors highlights innovative approaches in drug discovery.

Examining methods for better signal detection through integer solutions.

Discover how DeepONet improves manufacturing predictions and optimizes processes.

Exploring how UDEs advance understanding of neural systems through modern techniques.

This new model predicts 3D shape behavior faster and more accurately.

GUDR enhances UDR for better accuracy in uncertainty quantification.

New techniques improve uncertainty quantification for complex engineering models.

A look at knowledge-guided machine learning in scientific modeling.

Improving methods for fitting polygons in computational geometry.

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

Exploring the manipulation of non-piercing curves and their importance in various fields.

A look at rectangulations and their significance across various fields.

A formal proof confirms the Empty Hexagon Number using computational methods.

A method for creating and visualizing shapes that change over time.

A new method enhances the stitching of Bezier patches for better surface modeling.

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

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.

Exploring how connections influence cooperation in social networks.

An analysis of resource allocation and competition strategies in Colonel Blotto games.

Exploring new methods for equitable profit distribution among players in cooperative games.

A look into how player interactions shape cooperative game outcomes.

Analyzing resource allocation in competitive scenarios across various sectors.

New model enhances CT image quality using low-resolution images.

A new method improves image quality affected by speckle noise using machine learning.

This article discusses the benefits of RoPE for Vision Transformers in various tasks.

UP-CrackNet offers a new approach to detecting road cracks with less human involvement.

New technology allows users to create 3D models from text descriptions effortlessly.

A new method enhances panoptic segmentation by integrating depth data.

Introducing a new method for more accurate scene graph generation.

New method improves clarity of underwater images using color and depth information.

The Model Openness Framework sets standards for transparency and trust in AI development.

Examining public views on AI benefits, risks, and the need for diverse voices.

Examining the ethical concerns of Large Language Models in medicine.

New approach gives users a say in handling toxic language.

A study reveals the privacy concerns of browser fingerprinting and its implications for users.

A study highlights the complexities of male domestic violence in Bangladesh.

This article examines the potential dangers of AI misuse and preventive measures.

This study evaluates the effectiveness of chatGPT-generated captions in identifying sponsored content.

A look at the risks and assessments for Large Language Models in security.

Investigating the complexities of quantum digital signatures and their reliance on pseudorandom states.

A new framework for secure user data analysis in untrusted databases.

HETAL keeps client data secure while training machine learning models.

New models improve security for IoT devices by addressing data complexity.

A new method for secure localization without compromising sensitive data.

A new model helps small businesses tackle cyber-security challenges effectively.

This research highlights sparse coding's role in safeguarding neural network privacy.

A new approach to handle indexing of uncertain strings effectively.

A novel method using Fourier transforms for better data moment estimation.

New methods improve efficiency in graph coloring and bandwidth coloring challenges.

A look at efficient data compression and retrieval methods.

A look at how quantum backtracking improves solving complex problems like Sudoku.

A novel approach to address variable costs in economic lot-sizing.

A new method reduces data needs for accurate logistic regression predictions.

A study on finding maximum-sized properly colored forests in graph theory.

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.

A novel method using Fourier transforms for better data moment estimation.

A new framework for training models without sharing sensitive data.

Discovering lasting patterns in changing graphs with quick algorithms.

Automated tool GGDMiner helps uncover relationships in graph data effortlessly.

This article discusses the chase method and its recent advancements.

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.

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

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

New methods improve efficiency in graph coloring and bandwidth coloring challenges.

A new method improves AI's reasoning and decision-making clarity.

A study on finding maximum-sized properly colored forests in graph theory.

Exploring minimal local sets and their role in graph theory.

A look at rectangulations and their significance across various fields.

A look into how Boolean networks model complex systems and their dynamic behaviors.

This study reveals robust tilesets make the domino problem decidable.

Discover how distributed algorithms streamline resource allocation among agents.

FedMef improves federated learning for low-resource devices through innovative pruning techniques.

Exploring methods to achieve faster transaction finality on the Ethereum network.

A novel method using Fourier transforms for better data moment estimation.

New methods enhance the Kaczmarz algorithm for solving dense linear systems.

A new framework for training models without sharing sensitive data.

Combining RADICAL-Pilot and Cylon for efficient data management in deep learning.

Union simplifies managing hybrid workloads in high-performance computing environments.

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.

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

Examining the intersection of neurotechnology and privacy concerns.

A new system uses vehicles and quantum computing for faster gas leak detection.

This study identifies vital hyperparameters for training quantum neural networks effectively.

Exploring quantum algorithms' role in detecting financial crimes.

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 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.

Learn how Bounded Attention enhances image clarity for multiple subjects.

Introducing an efficient bitmap method for automatic label placement in charts.

This article presents a systematic method for handling colors in computer graphics.

Study shows weak labels enhance gloss prediction accuracy while reducing manual effort.

A new method enhances the stitching of Bezier patches for better surface modeling.

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.

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.

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.

Examining the role of communication in fairness decisions within AI systems.

Using language models to enhance training for peer counselors.

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

Examining the impact of shared gaze on surgical training and teamwork.

New approach gives users a say in handling toxic language.

Examining the effects of human and AI biases on social media interactions.

Introducing a structured design space for intelligent writing assistants.

A new framework aims to improve privacy in vehicular edge metaverses.

This paper examines new strategies for enhancing document retrieval through token pruning.

Slipstream speeds up recommendation models by skipping unnecessary updates.

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

A new dataset helps IR models adapt to complex instructions for better performance.

Learn how ghost sentences can help users safeguard their personal data online.

Learn how feature attribution explains ranking decisions in automated systems.

A study focuses on how children use technology for school tasks.

Study reveals how biases shape online search and user attitudes.

A look into methods for evaluating space collision risks and uncertainties.

A new method improves image quality affected by speckle noise using machine learning.

This study enhances decision-making by adding the option to abstain in multi-armed bandit problems.

This article discusses advanced decoding methods for better data transmission.

A look into errors in communication systems and how to improve data transmission.

Learn how identification codes help maintain communication integrity in noisy environments.

Exploring how quantum channels improve message identification over classical methods.

A clear look at how meaning is shared and understood in communication.

This article discusses new developments in cohomology using Homotopy Type Theory.

New methods improve efficiency in graph coloring and bandwidth coloring challenges.

This article investigates how large language models simulate logic codes effectively.

This article discusses the chase method and its recent advancements.

Exploring how the Pipelined Moonshot Protocol strengthens blockchain consensus mechanisms.

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

Discover how forcing shapes modern mathematics and set theory.

A formal proof confirms the Empty Hexagon Number using computational methods.

RiNALMo is an advanced RNA language model for predicting RNA structures and functions.

A novel approach to decision-making using minimal samples.

Research into KRAS inhibitors highlights innovative approaches in drug discovery.

A new method improves image quality affected by speckle noise using machine learning.

This article discusses the benefits of RoPE for Vision Transformers in various tasks.

Researchers are turning to Bayesian methods for better data analysis at the LHC.

Strategies to reduce solar curtailment and enhance battery storage profitability.

A new method improves causal learning despite missing data and cyclical relationships.

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.

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 new method enhances policy evaluation in decentralized multi-agent systems.

A framework for aligning actions with personal and organizational values.

A look into how robots can work together for space resource mapping.

An overview of communication protocols in distributed systems focusing on Wait-Only Non-Blocking Broadcast Protocols.

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.

Using music to explain cancer can enhance understanding and engagement.

A new framework improves knowledge graph completion with diverse data types.

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

New method enhances 3D data compression while maintaining quality.

Research highlights progress in self-interference cancellation for efficient wireless networks.

A look at improving time synchronization for better industrial connectivity.

A new framework aims to improve privacy in vehicular edge metaverses.

Examining the role and importance of HTTPS records in web security.

This method improves routing decisions in Dragonfly networks using machine learning.

Intelligent routing methods improve performance in Dragonfly supercomputing networks.

A method to validate network changes while preserving expected behaviors.

XAV enhances regex matching efficiency for high-speed network data.

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.

Explore the models mimicking brain processes through spikes.

KAT allows robots to learn tasks quickly with fewer examples.

Assembly programming meets competition as survivors battle in CodeGuru Xtreme.

Researchers optimize energy states to understand how materials change shape over time.

Introducing a method that combines kernel-based reconstruction with finite volume techniques for fluid flows.

New methods in seismic imaging enhance subsurface mapping accuracy and efficiency.

A new solver method improves efficiency for Cahn-Hilliard equation in materials science.

This article presents a method to handle integral equations affected by noise.

Exploring the relationship between Bezier curves and the Takagi function in design.

New framework aids in simulating complex shapes in physics and engineering.

A new method improves parameter estimation from high-resolution data.

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.

Berrify strengthens BPF security against Spectre vulnerabilities without sacrificing performance.

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.

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.

Analyzing hardware and software for efficient quantum computing solutions.

Examining how customers choose between serving stations and its impact.

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

Exploring how AI impacts software development and coding practices.

Gillian-Rust offers a novel way to verify unsafe Rust code effectively.

A look at how quantum backtracking improves solving complex problems like Sudoku.

A framework for machines to learn user preferences from visual data.

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

New benchmarks reveal strengths and weaknesses of coding language models.

Certifying neural networks ensures their safety and reliability in critical applications.

Teaching robots to dribble a soccer ball while walking.

This article discusses new methods for detecting relationships between objects in images.

New methods improve the accuracy of real-time mapping with wearable systems.

Drones are transforming industries through teamwork and advanced manipulation techniques.

New methods enhance robot navigation in complex environments using vision technology and context-aware systems.

ARSim method improves data quality for training self-driving cars using synthetic objects.

ALPINE is a climbing robot designed for safe mountainous terrain operations.

This work presents a framework for enhancing safety in autonomous vehicle navigation.

A look into how directed simplicial complexes reveal complex interactions.

Examining the effects of human and AI biases on social media interactions.

This study evaluates the effectiveness of chatGPT-generated captions in identifying sponsored content.

Examining the differences between expert and everyday wine ratings.

This work focuses on improving link prediction accuracy with innovative sampling methods.

A look into microaggressions and their effects on marginalized communities.

The study investigates how people perceive relational networks through graphs.

Examining the impact of religious group discussions during COVID-19 in India.

The Model Openness Framework sets standards for transparency and trust in AI development.

A look into the challenges and practices of OSS licensing in software development.

Q-COSMIC offers a new way to measure the size of quantum software effectively.

Exploring how AI impacts software development and coding practices.

A new tool enhances the integrity of zero-knowledge proof systems.

This article examines code licensing issues in AI model training.

A new tool predicts and assesses security risks in microservices.

A new methodology enhances the development of safety-critical systems.

A new method enhances accuracy in locating moving sound sources using microphone arrays.

PAM offers a novel way to measure audio quality without needing reference recordings.

Audio Flamingo excels in listening, conversing, and adapting to new audio tasks.

A new model enhances machines' understanding of spatial audio.

A new model improves speech-to-text efficiency in real-time applications.

This study assesses sounds versus words in reconstructing language family trees.

New model improves music creation using user feedback.

Reborn offers innovative solutions for automatic speech recognition without labeled data.

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.

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

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

Strategies to reduce solar curtailment and enhance battery storage profitability.

Examining strategic interactions in feedback Stackelberg games and their real-world applications.

Discover how distributed algorithms streamline resource allocation among agents.

A new method enhances vehicle trajectory data accuracy using connected vehicles.

Examining how better transmission can support a cleaner energy future.

A look at how energy systems adapt to renewable sources.

Exploring the role of sensors in improving target tracking accuracy.

Exploring how quantum algorithms perform in solving power flow problems.