Computer Science

HalluAudio improves sound recognition with minimal examples using unique audio analysis.

A user-friendly platform for robotics research with engaging tasks for robots and humans.

A new tool generates diverse benchmarks to improve compiler optimization.

Research sheds light on the energy use of mobile AI applications.

Study reveals how Theory of Mind can enhance AI language learning.

A new method for training robots using minimal demonstrations.

Robots are learning on their own, reshaping tasks through experience.

Learn how statistical rules enhance machine learning model predictions.

A new method for creating high-quality data using large language models.

Study reveals how Theory of Mind can enhance AI language learning.

DSL True Labels provides human-annotated data for better language identification accuracy.

A method to improve memory management in language models by focusing on challenging information.

A look into how ASR systems provide explanations for their transcriptions.

Methods to improve translation for languages with limited data.

A study on improving methods to spot misleading image-text combinations.

A look at using style analysis for determining authorship of documents.

Exploring how cardinality-minimality impacts reasoning in artificial intelligence.

A new approach to assess how similar processes behave in system verification.

Examining the complexities of CSP and SAT in computer science.

Exploring guidable local Hamiltonian problems in quantum computing and their significance.

This article discusses weighted first-order model counting using Directed Acyclic Graphs.

Graph Neural Networks enhance machine learning through relationships in data.

A clear look at how debt swapping functions among banks.

A look at key concepts in graph theory and their implications.

New designs in thermal cloaks improve heat flow management around obstacles.

Research reveals new findings about red blood cell shape and behavior.

This approach uses measurement data to simulate circuits, reducing errors.

We enhance virtual screening speed using optimized data preparation and GPU architecture.

Shape optimization improves designs across various engineering fields through parameter-free methods.

New modeling technique improves accuracy and speed in simulating blood flow.

A new method improves vehicle communication and sensing efficiency.

A novel method to create accurate kidney vascular models for improved research.

New methods simplify clustering using coresets in geometric intersection graphs.

A look at the Wiener index and its role in optimizing network structures.

A new method for fast extremum graph computation leveraging GPU and CPU.

Learn how geodesic spanners help connect points efficiently in complex spaces.

New technique improves distance measures for complex shape analysis.

Exploring efficient methods for covering paths, trees, and rainbow polygons.

A new method to improve clarity in graph visualizations by repositioning vertices.

A new method for accurately matching complex 3D shapes quickly.

Examining how present bias affects goal setting and task completion.

New methods enhance decision-making in competitive settings for agents.

Learn about the growing significance of data marketplaces in today's economy.

Exploring strategies that promote cooperation amid competition.

This study examines how behavior inertia affects cooperation in public goods games.

Examining mechanisms for equitable connection cost sharing among network nodes.

A new method for decentralized auctions promoting privacy and participation.

Exploring new ways to share auction proceeds fairly among participants.

This article presents a method for recognizing actions in drone footage.

DejaVu improves machine predictions through conditional image regeneration techniques.

A new method improves the separation of moving objects in video footage.

Enhancing object detection performance using new matching methods and image augmentations.

A new method for training robots using minimal demonstrations.

Innovative techniques aim to improve tumor distinction in brain cancer treatment.

A hybrid model improves detection of fake fingerprints in real-time.

New methods improve animation quality through innovative composition techniques.

New methods improve accuracy of poverty maps using satellite and social media data.

Study reveals key influencers shape Bitcoin conversations on Twitter.

Exploring fairness measures in risk score models across various fields.

Study explores teaching challenges in a small town with limited resources.

Exploring the impact of reinforcement learning with human feedback on society.

A look into AI's history and its impact on the future.

Improving machine learning models for better human decision-making using similarity insights.

This article examines how guilt shapes ethical behavior in machines and communities.

Gain competition attacks pose risks to optical NoCs, affecting performance and reliability.

Examining vulnerabilities in machine learning models accessed through APIs.

This article discusses how user movements in VR can reveal personal information.

This article examines the D-Score method for detecting attacks on IoT devices.

Exploring efficient techniques for polynomial multiplication in homomorphic encryption.

Learn how to protect software from fault attacks with effective strategies.

A look at the usability of privacy features on health websites.

New techniques aim to protect and verify image authenticity amidst changes.

New methods simplify clustering using coresets in geometric intersection graphs.

Learn how subsampling can ensure unbiased results in data analysis.

This article examines how character changes affect CDAWG size and efficiency.

A new approach to assess how similar processes behave in system verification.

A new method improves uniformity testing for high-dimensional data distributions.

Exploring two quantum algorithms for searching and summing data efficiently.

A new method for oblivious routing using electrical flows improves efficiency in complex networks.

This article examines improved methods for counting maximal cliques in specific graph types.

Utilizing raytracing technology to improve data indexing on modern GPUs.

Automating model training on knowledge graphs for efficient insights.

Learn about the growing significance of data marketplaces in today's economy.

A method to improve company name matching using machine learning.

Learn how direct access techniques enhance querying and aggregation in large databases.

This method simplifies outlier detection for clearer decision-making.

Explore the importance of validating data in machine learning pipelines.

This article discusses how ChatGPT can manage databases using simple language rules.

A look at using style analysis for determining authorship of documents.

This study evaluates community detection methods and introduces a tool for better connectivity.

A method to retrieve visuals from scanned scientific literature.

An analysis of the reliability of Wikipedia references over time.

This article examines how knowledge moves through scientific communities over time.

FAIR principles improve data sharing in research, boosting collaboration and trust.

This study examines global patterns in scientific collaborations among continents.

A new method aims to clarify authorship in academic papers.

Examining the complexities of CSP and SAT in computer science.

Exploring efficient methods for covering paths, trees, and rainbow polygons.

Research uncovers how information flows through complex networks using random matrices.

A look at key concepts in graph theory and their implications.

Explore how domatic numbers optimize networks through effective scheduling.

Assessing the real-world performance of X-opt and 2-opt methods for TSP.

New findings in Condorcet domains enhance understanding of voting systems.

Discover the significance and applications of Vizing's conjecture in edge-coloring.

HitGNN streamlines the training of Graph Neural Networks using CPUs and FPGAs.

Approximate multipliers enhance speed and efficiency in computational tasks, especially in deep learning.

A new approach to simplifying power flow networks using directed graphs.

A guide to the multi-GPU AMG preconditioner for solving large sparse systems.

Discover how the gradient-push algorithm enables efficient solutions through agent collaboration.

An overview of how distributed sampling optimizes problem-solving across various fields.

Examining advanced models for managing financial risks and detecting fraud.

Cloud K-SVD improves image clarity by reducing noise using multiple computers.

Optical computing could reshape deep learning with its speed and energy efficiency.

New algorithms improve training efficiency for deep neural networks using in-memory computing.

New methods improve solutions for complex optimization problems using quantum technology.

Quantum networking connects devices using qubits, offering potential for advanced communication.

An overview of quantum computing advancements and the Q-Map technique.

A new framework integrates classical and quantum computing for efficient packing solutions.

Skyrmions may lead to new computing methods that are efficient and powerful.

Discover how Ising machines improve generative model training.

A new approach to assess how similar processes behave in system verification.

A deep dive into digit sums and automata theory.

A tool providing instant feedback on automata submissions for computer science students.

A new approach to visualize and analyze complex business processes.

Learn how DyVeRG tracks evolving connections in various fields.

This article discusses how languages grow using symbols and mathematical concepts.

Learn about automata types, their states, inputs, and outputs.

This study examines the relationship between automata and bicategories for deeper insights.

Investigating ChatGPT's view on its own intelligence and implications for consciousness.

New methods improve animation quality through innovative composition techniques.

New methods improve 3D modeling from real-world images using depth and camera adaptability.

Utilizing raytracing technology to improve data indexing on modern GPUs.

A method that turns words into clear visual representations.

A look into how diffusion models create images from noise.

A comprehensive dataset aims to improve JND models across various distortions.

A new method reduces noise in event-based video from dynamic vision sensors.

A new method for fast extremum graph computation leveraging GPU and CPU.

HitGNN streamlines the training of Graph Neural Networks using CPUs and FPGAs.

Gain competition attacks pose risks to optical NoCs, affecting performance and reliability.

Exploring efficient techniques for polynomial multiplication in homomorphic encryption.

A tool enhances floating-point hardware efficiency through automation and advanced analysis.

A look into reverse engineering approaches for FPGA design clarity and analysis.

SatIn accelerates SAT problem solving with a distributed hardware approach.

Exploring a new model for fast and efficient serverless applications.

Learn to improve computer memory systems for better speed and efficiency.

A user-friendly platform for robotics research with engaging tasks for robots and humans.

Exploring how vibrations affect smartphone communication and user experience.

Research explores effective eye tracking using fewer EEG electrodes.

Augmented reality tools may improve understanding of complex microservice systems.

Shared control systems enhance usability for users with motor impairments.

Survey highlights developers' worries about privacy in collaborative coding environments.

A look at how digital tools change mood board creation for designers.

Study shows new method makes robot programming easier for non-experts.

A look into RPRS and its impact on document retrieval.

New methods enhance the retrieval of mathematical content in academic literature.

A new method improves audio matching for design documents using a unique dataset.

Introducing a framework to enhance multi-behavior recommendations for users.

Examining the challenges and impacts of YouTube's recommendation algorithms.

A system developed to remove irrelevant hyperlinks, improving online search quality.

LongEval-Retrieval assesses search engines’ performance amidst changing information.

A new tool to summarize clinical trial evidence for better healthcare decisions.

Learn how subsampling can ensure unbiased results in data analysis.

A new method improves uniformity testing for high-dimensional data distributions.

Codebooks are vital for efficient 5G wireless communication.

New approach improves performance of simple models in noisy data environments.

Learn how consistency training improves diffusion models and data quality.

Automated systems work to detect and reduce harmful language online.

A new approach to efficiently synchronize files across devices and teams.

This article explores the role of UAVs in optimizing MEC networks and security.

This article examines graph classes and essential concepts for analyzing their structures.

Learn how symbolic algorithms improve string constraint solving in computer science.

Examining proofs in logic to understand statement meanings and validity.

CRLF injection poses serious security threats to web applications.

A look at how fibrations enhance understanding of logical relations in programming.

A fresh method for addressing correctness and errors in programming.

Explore the significance and complexities of finite multisets in mathematics and computer science.

A deep dive into confluence and its importance in term rewriting.

A new tool generates diverse benchmarks to improve compiler optimization.

New neural networks tackle complex data using advanced manifold techniques.

Research sheds light on the energy use of mobile AI applications.

A new method for training robots using minimal demonstrations.

Examining vulnerabilities in machine learning models accessed through APIs.

Robots are learning on their own, reshaping tasks through experience.

Research highlights challenges of plasticity in neural networks and offers insights for improvement.

Learn how statistical rules enhance machine learning model predictions.

A guide to the multi-GPU AMG preconditioner for solving large sparse systems.

Discover a method for efficient high precision calculations using lower precision arithmetic.

SurvLIMEpy enhances interpretability in Survival Analysis models through feature importance.

A new framework for optimizing sparse tensor operations and automatic differentiation.

This method improves parameter estimation in mathematical models without initial guesses.

EZtune streamlines hyperparameter tuning for machine learning models, aiding accuracy.

Explore how Python and C++ work together for efficient data analysis.

Rang helps researchers document and recreate their computational environments for accurate analysis.

A new method for agents to share knowledge without needing an expert.

A new collaborative approach enhances hyper-parameter tuning in machine learning.

Exploring diffusion learning for robust machine learning in multi-agent environments.

This article examines how guilt shapes ethical behavior in machines and communities.

A fresh method improves agents' adaptability through tailored learning challenges.

Efficient coordination of UAVs and UGVs for better area coverage.

Examining how core-periphery networks drive creative problem-solving and innovation.

A new approach using local information in competitive multi-agent scenarios.

A study on improving methods to spot misleading image-text combinations.

New method enhances camera identification accuracy post-image corrections.

A new method improves audio matching for design documents using a unique dataset.

A new approach to enhance visual data storage on blockchain systems.

This article presents the Neighborhood Contrastive Transformer for better image change detection.

LooperGP aids musicians in generating customizable loops for live performances.

Self-distillation boosts detection systems against fake speech technologies.

This article discusses improved strategies for VR video transmission using mobile edge computing.

A new solution for managing portable medical devices using smartphones.

This article examines methods to enhance communication reliability in satellite networks.

New authentication method enhances IoT security with efficiency and simplicity.

A model for secure sharing of virtual network functions in 5G technology.

Learn how AQM strategies can improve network performance and handle congestion.

A study on improving indoor location accuracy while ensuring data privacy.

Explore the challenges faced in implementing AI and ML in telecom networks.

Explore how explainable AI improves trust and decision-making in cybersecurity.

Vec-GP enhances traditional methods for better data analysis using vector inputs.

A novel algorithm improves predictions for drug discovery.

A look into how diffusion models create images from noise.

Optical computing could reshape deep learning with its speed and energy efficiency.

Multiplexed gradient descent offers quicker training for neural networks across various platforms.

A method to enhance learning using labeled and unlabeled data in neural networks.

A method to adjust how neural networks perceive human-defined concepts.

Smart algorithms can enhance cache memory efficiency in embedded devices.

Exploring the immune response to Staphylococcus aureus infections.

A new method improves solving complex parametric PDEs efficiently.

Discover how the DPG method improves option pricing accuracy and stability.

A method to pinpoint boundaries with fewer evaluations across various fields.

This article discusses methods to enhance the accuracy of Taylor polynomial approximations.

This method addresses complex elliptic equations with interfaces for accurate numerical solutions.

New techniques improve simulations of conservation laws for enhanced accuracy and stability.

A new approach to simplifying power flow networks using directed graphs.

A new approach to improve performance and resource allocation in WSCs.

An innovative tool for learning about resource management in diverse computing systems.

Businesses seek new ways to secure data in the cloud with confidential computing.

A new framework for easier FPGA use in virtual environments.

BCEdge improves DNN processing efficiency in edge applications for faster response times.

New method improves resource allocation for users with changing needs.

DVFO enhances energy efficiency and processing speed for edge devices in IoT.

Exploring the benefits of lookahead in semi-online task scheduling.

This article discusses adaptive modeling techniques for Cyber-Physical Systems using Validity Frames.

Exploring how digital twins enhance safety and trust in autonomous drone operations.

Research aims to improve search techniques using drones in SAR missions.

Transforming building design to save energy and promote sustainability.

Exploring automation's role in enhancing building design efficiency and communication.

Investigating distant planets and their potential to support life through advanced technology.

A new methodology enhances teamwork between software and hardware developers for better performance.

Reassessing how we classify and understand sequential circuits.

MD-Bench optimizes molecular dynamics simulations for improved performance and analysis.

Examining the utility and privacy issues of location tracking devices.

A new system enhances AI performance in DareFightingICE using gRPC technology.

Explore how edge service hosting improves user experience and reduces costs.

Learn how quantization improves model efficiency for smaller devices.

AwkwardForth enhances Uproot for faster ROOT file processing.

Innovative algorithms improve resource scheduling without precise network state knowledge.

Learn how range regularization enhances AI model compression and quantization.

A new method for flexible inference programming using algebraic effects.

A new approach to session types enhances communication in programming without complexity.

This article discusses advancements in code summarization tools and their patterns.

A fresh method for addressing correctness and errors in programming.

A practical tool to automate data visualization and create engaging infographics.

Explore how smart contracts transform business operations with Daml.

A new compiler enhances the training efficiency of deep learning models.

Explore a flexible language for better process interactions in software development.

This article presents a method for recognizing actions in drone footage.

A user-friendly platform for robotics research with engaging tasks for robots and humans.

A new method for training robots using minimal demonstrations.

Robots are learning on their own, reshaping tasks through experience.

Team CERBERUS's ArtPlanner excels at navigating complex environments with legged robots.

Robotic systems enhance stroke recovery through tailored patient assistance.

A new approach enhances simulation of rigid body collisions with adaptable modeling.

Interactive robots can help draw diverse students to robotics and STEM fields.

This model offers a detailed way to assess lending protocols in decentralized finance.

Study reveals key influencers shape Bitcoin conversations on Twitter.

Innovative approaches enhance testing and isolation during infectious disease outbreaks.

Survey highlights developers' worries about privacy in collaborative coding environments.

A new method to detect hate speech in multiple low-resource languages effectively.

A new approach to simplifying power flow networks using directed graphs.

Automated systems work to detect and reduce harmful language online.

This study evaluates community detection methods and introduces a tool for better connectivity.

Methods to improve translation for languages with limited data.

A study on the effectiveness of machine learning models in classifying code comments.

Augmented reality tools may improve understanding of complex microservice systems.

Study reveals common issues in Android development through self-admitted technical debt comments.

Survey highlights developers' worries about privacy in collaborative coding environments.

CRLF injection poses serious security threats to web applications.

A study examining bug types in popular deep learning frameworks.

Learn how machine learning techniques enhance effort estimation in software projects.

HalluAudio improves sound recognition with minimal examples using unique audio analysis.

A look into how ASR systems provide explanations for their transcriptions.

New TTS model generates voices based on facial features for diverse applications.

Revolutionizing audio production by transforming singers' voices while preserving original songs.

New models enhance natural speech delivery in text-to-speech systems.

A new model allows musicians to control sound synthesis more effectively.

Combining audio and visual data for better keyword detection in voice assistants.

New methods reveal how speech can indicate depression severity.