Computer Science

New algorithm improves clustering by combining features and spatial positions.

This article presents a method to protect personal data in machine learning systems.

A study on translating Nigerian English for better accessibility in Nollywood films.

WV-Net model improves analysis of SAR images for ocean monitoring.

D-Rax assists radiologists in image analysis and communication.

Graph Neural Networks enhance histopathological image analysis, improving disease diagnosis.

A new method enhances accuracy in question-answering for black-box language models.

This article discusses methods for improving AI alignment with various cultures.

A study on translating Nigerian English for better accessibility in Nollywood films.

Can self-play enhance language models' performance in cooperative settings?

D-Rax assists radiologists in image analysis and communication.

A new method enhances accuracy in question-answering for black-box language models.

This article discusses methods for improving AI alignment with various cultures.

A new method enhances LLM personalization for better user engagement.

This article presents a dual encoder system for effective speech representation learning.

Assessing strategies to manage copyright issues in language models.

Explore how Fourier analysis enhances the understanding of sparse Boolean functions.

Explore the intricacies of reachability in temporal graphs and their unique challenges.

This article examines the challenges in finding specific subgraphs in graph theory.

Exploring the effects of adversarial influence on half-duplex communication efficiency.

Examining how random walks impact solutions in constraint satisfaction problems.

Exploring the potential and challenges of high dimensional expanders in diverse fields.

This article discusses how two-player games reveal insights into logic and binary strings.

Research into solvable systems reveals new insights into computation and mathematical modeling.

AFBench offers a vast dataset for improved airfoil design techniques.

A new method enhances financial simulations using detailed Limit Order Book data.

A new method improves radiation impedance calculations for better ultrasound device design.

This article introduces a method to improve delamination modeling in composite materials.

This article discusses effective methods for improving uncertainty quantification in complex models using neural networks.

Exploring how PANN models simulate hyperelastic beam behavior under stress.

UniFIDES simplifies solving complex fractional integro-differential equations.

A new dataset enhances the study of car aerodynamics for better design efficiency.

Exploring how simple parts come together to form complex structures.

An overview of online sorting and the online Traveling Salesperson Problem.

A method for classifying red and blue points efficiently over time.

Exploring the crossing number problem in graphs and its real-world applications.

An exploration of how paths connect through systematic flips.

New techniques for finding efficient paths in weighted areas.

A new method enhances point cloud feature extraction for various applications.

Explore methods for point containment in Constructive Solid Geometry using various algorithms.

New algorithms improve decision-making in online knapsack problem using succinct predictions.

Exploring how game theory can help manage disease spread and protection measures.

This paper investigates randomized algorithms for better performance in online bin stretching problems.

A look into fair division principles and their importance in resource sharing.

This paper examines the time it takes for workers to find new jobs after resigning.

Exploring the role of airdrop farmers in user growth.

This paper presents methods for equitably dividing chores among individuals.

A look into auction strategies and their impact on market behavior.

EngineBench offers real data to improve airflow understanding in combustion systems.

RAIL merges continual learning with vision-language models for better adaptability.

Improving data processing through knowledge sharing across different data types.

Dysca introduces a new way to assess LVLM performance using synthetic data.

A novel approach for early lung cancer detection using automated imaging analysis.

WV-Net model improves analysis of SAR images for ocean monitoring.

A novel approach to detect and classify satellite parts using advanced imaging techniques.

Graph Neural Networks enhance histopathological image analysis, improving disease diagnosis.

An overview of social contagion mechanisms and their impact on behavior adoption.

Documenting AI systems becomes easier with AI Cards for the EU AI Act.

DiVERT generates effective distractors and explains student errors in math assessments.

Examining the need for fairness in AI and its impact on society.

Exploring the benefits and ethical concerns of AI in education.

This workshop analyzes gender stereotypes in AI through the lens of societal biases.

RadGrad enhances the college experience for computer science students at the University of Hawaii.

FernUniversität works on open LLM infrastructure to support education.

QFHE allows computations on encrypted data for enhanced privacy and security.

This article presents a method to protect personal data in machine learning systems.

New methods reveal serious privacy threats from location data sharing.

New systems improve insulin delivery and safety for type 1 diabetes management.

Addressing the challenges of E2EE and account recovery methods.

Introducing FC-EM to protect 3D point cloud data from unauthorized access.

Examining the challenges and implications of unlearning in AI models.

ASCENT improves hardware security against power side-channel attacks during design.

An overview of online sorting and the online Traveling Salesperson Problem.

Introducing QSketch and QSketch-Dyn for fast, memory-efficient data stream analysis.

New methods generate synthetic data to protect privacy in collaborative scenarios.

New algorithms enhance robotic inspection efficiency for various real-world applications.

This research focuses on finding even-length paths in directed graphs and their applications.

This article examines the challenges in finding specific subgraphs in graph theory.

Algorithms balance approximation quality and consistency in dynamic environments.

This paper discusses improving dynamic clustering solutions amidst constantly changing data.

CompassDB offers a fast and efficient key-value storage solution.

Introducing QSketch and QSketch-Dyn for fast, memory-efficient data stream analysis.

Learn about a new tool for discovering patterns in graph databases.

A new model streamlines data analysis in vast datasets using sketches.

A new benchmark for assessing AKNN algorithms in continuously changing environments.

A simple method to improve data structures using tree covering.

A new method combines text-based and SQL reasoning for improved table question answering.

Study examines learned indexes' performance for joins with data stored externally.

A new system simplifies citation management for preprints, enhancing visibility and collaboration.

A new dataset sheds light on historical newspapers from Latin America.

Examining how the disruption index may misrepresent innovation trends.

A new framework aims to automate paper reviews for better quality feedback.

GraphMuse streamlines the analysis of symbolic music data with advanced machine learning techniques.

Reviewing key trends and collaborations in COVID-19 studies during 2020.

A system that improves information retrieval by clarifying user questions.

This study focuses on generating citations with appropriate length for better quality.

Explore how degree sequences affect random graph characteristics.

A new approach to solve the Maximum Independent Set problem without training data.

This study enhances mobile agent efficiency in locating hidden targets.

Study reveals methods for efficient target search by mobile agents in circular areas.

Learn about planar graphs and their significance in various fields.

Exploring the crossing number problem in graphs and its real-world applications.

An exploration of how paths connect through systematic flips.

Examining the security of SHA-256 and recent collision finding techniques.

A new method enhances resource predictions for cloud environments, ensuring efficient operations.

A new system enhances the training of large language models with long sequences.

Automatic tracing simplifies task management in parallel programming for better performance.

Task fusion enhances performance in distributed computing through efficient task management.

A new system facilitates private use of LLMs through HPC resources.

New Ising machine model improves optimization problem solving and computational speed.

A new method boosts matrix multiplication performance using sparse matrices.

This paper presents a new DNN-based IDS in programmable networks.

Learn how Ising models simulate logic gates and address complex problems in technology.

A look into how Ising machines enhance optimization techniques.

New Ising machine model improves optimization problem solving and computational speed.

Discover how AI is transforming image annotation for better accuracy and speed.

This study analyzes how GPT-4 detects quitting intentions among vaping Reddit users.

DRLQ enhances task assignment for quantum resources, boosting efficiency in cloud computing.

A fresh approach to model memristors for advanced computing applications.

Discover how new computing methods can reduce energy use in AI systems.

An overview of automata, their types, and practical uses in computer science.

A study of backreferences in regular expressions and their relation to formal languages.

Investigating methods to reduce differences in behavior between probabilistic systems.

Learn about key programming concepts for better data handling and error management.

Explore how spliffers shuffle and split words efficiently.

A framework to improve theorem proving using Lean4 and language models.

A look into how CER systems analyze data patterns in real-time.

A look into CFGs, their components, and relationships like bisimilarity.

Introducing a method to create realistic 3D scenes for virtual reality and design.

A new method cuts storage requirements for 3D graphics without losing quality.

SMPLOlympics offers simulated environments for humanoids to compete in Olympic-style sports, enhancing movement learning.

Data-parallel ANARI improves rendering efficiency and quality in scientific visualization.

New method enhances analysis of elongated and flattened particle shapes.

A new method improves image quality and processing efficiency with colored 2D Gaussians.

This study evaluates how virtual objects appear in real photographs.

This study refines temperature predictions for complex terrains using adaptive lapse rates.

Constable enhances processor efficiency by eliminating unnecessary load instruction executions.

Samsara improves reliability and security in hardware accelerators, ensuring efficient computing.

FRED enhances communication for faster and more efficient deep learning training.

This article discusses DRAM read disturbance and innovative management techniques.

New Ising machine model improves optimization problem solving and computational speed.

A new instruction set boosts performance in data streaming tasks.

This research introduces an innovative approach to enhance energy efficiency in IoT devices using FPGAs.

A new standard improves neural network speed and energy efficiency in computing.

Examining how context improves machine translation quality in subtitling.

Research evaluates sound design impacts on AV-pedestrian interactions.

VCHAR improves recognition of complex human activities using innovative visual methods.

EDPNet enhances motor imagery decoding for brain-computer interfaces.

This project focuses on enhancing user interaction with machines for photo book creation.

This study analyzes how GPT-4 detects quitting intentions among vaping Reddit users.

A method to enhance topic modeling with researcher input.

AI tools are reshaping programming education, affecting student learning and confidence.

A new framework improves user recommendations through better data processing.

A new method improves image and text retrieval across multiple languages.

A new framework enhances FMEA data analysis and retrieval.

GTZAN-synth dataset leverages synthetic music for better music tagging systems.

ColPali improves document retrieval by effectively using text and visual elements.

Exploring the role of neurons in enhancing IR model interpretability.

BrightFit enhances course suggestions through a new two-stage retrieval approach.

A method to enhance topic modeling with researcher input.

A look at how prediction-powered inference enhances model performance in wireless technology.

Dynamic scattering arrays promise improved performance for modern wireless networks.

New software simplifies analysis of complexity measures in time series data.

Exploring the future of goal-oriented communication in sixth-generation systems.

Exploring the effects of adversarial influence on half-duplex communication efficiency.

A new method enhances object tracking using 3D data integration.

Cascaded group testing offers a streamlined approach to spot defects in large item sets.

A new method enhances efficiency in low-entropy couplings for large distributions.

Automated tool for verifying the correctness of quantum programs written in Silq.

A new approach to quantify uncertainty in systems using MDPs.

A look into uniform algebras and their role in Prolog and logic programming.

A new framework for analyzing termination in higher-order functions.

A look into learning algorithms for analyzing signal flow graphs and complex systems.

Learn about innovative techniques to simplify complex logical statements effectively.

Examining the security of SHA-256 and recent collision finding techniques.

New hybrid methods improve efficiency in integer factorization for cryptography.

New algorithm improves clustering by combining features and spatial positions.

Innovative methods for simulating complex diffusion processes show great potential across multiple fields.

A novel approach for early lung cancer detection using automated imaging analysis.

WV-Net model improves analysis of SAR images for ocean monitoring.

New algorithms improve decision-making in online knapsack problem using succinct predictions.

How federated learning faces privacy threats while striving for data security.

RetroGFN enhances retrosynthesis by expanding feasible reaction options.

This paper explores EM algorithm behavior in mixed linear regression for improved model accuracy.

A look at modern methods in engineering design for efficiency and performance.

Hiperwalk aids researchers in simulating quantum walks on complex graphs, enhancing quantum studies.

A user-friendly tool for building Petri Nets and simulating complex systems.

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

New approaches to tackle complex linear systems efficiently.

A new framework for optimizing complex geodesic convex problems in various fields.

HOBOTAN efficiently tackles complex higher-order optimization problems using advanced computing techniques.

Learn how Restricted Function Spaces improve PDE solutions in Firedrake.

A new model enhances communication and training among agents using belief maps.

Discover how multi-agent systems enhance task automation and problem-solving.

A look into strategies for managing large groups of agents through reinforcement learning.

Agents learn strategic gameplay in Pommerman through a structured training approach.

A new method enhances data freshness for smart vehicles using innovative algorithms.

A new model reveals the dynamics of social learning and behavior imitation.

Agents face the challenge of gathering resources while ensuring sustainability.

Addressing coordination challenges in offline multi-agent reinforcement learning.

A new method improves image and text retrieval across multiple languages.

Discover how diffusion models change video editing through AI technology.

Research shows text-image inconsistency rises with post popularity on social media.

New dataset improves audio generation from detailed text descriptions.

A new tool for testing language models in noisy environments.

A new method for creating cleaner reference meshes from dynamic 3D shapes.

A new method reduces the need for labeled data in computer vision tasks.

This article presents a method to generate accurate sound from videos and text.

NCR technology aims to improve signal strength in weak coverage areas.

6G networks promise faster connections through advanced technologies like ISAC.

Enhancing vehicle communication with advanced technology for safer roads.

A fresh method to assess the centralization of the Internet globally.

Examining how routing techniques influence censorship experiences worldwide.

New methods to keep real-time data relevant in connected environments.

Exploring the synergy between communication and sensing using mmWave systems.

A new model that helps cloud applications use serverless resources effectively.

Exploring the role of genetic algorithms in optimizing quantum circuit design.

New method enhances spiking neural networks' performance in language tasks.

This study explores how self-replicators can form from random programming interactions.

A new benchmark for improving biophysical sequence optimization methods.

This study reveals how the brain combines visual and language information.

Optimizing memory management for better performance in embedded systems.

A new method combining GRASP and random-key optimization for complex problem solving.

Discover how genetic algorithms can refine hyperparameter tuning in machine learning models.

A new neural network approach improves accuracy in hyperbolic conservation laws.

A look at modern methods in engineering design for efficiency and performance.

This article discusses the advantages of the Chebyshev Spectral Neural Network for solving differential equations.

Discover the role of operator learning in advancing data-driven predictions across various fields.

A new adaptive optimizer reduces memory use in training large neural networks.

Discover how KMC helps analyze particle movement in biological systems.

This article examines how various interactions shape system behavior over time.

Exploring new methods for accurately modeling fluid flow and substance transport.

A new system enhances application performance and energy efficiency in heterogeneous processors.

Optimizing memory management for better performance in embedded systems.

A new model that helps cloud applications use serverless resources effectively.

A new system improves cloud performance and reduces costs by combining VMs and FaaS.

Exploring Rust's role in enhancing OS security and reliability.

MAARS framework enhances the security of timing-sensitive tasks in cyber-physical systems.

New framework for NPUs enhances resource sharing and reduces costs.

A novel method for analyzing cloud system performance through detailed simulations.

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 how autotuning enhances mixed-kernel SVMs for data analysis.

LLload makes it easier to track job performance on HPC systems.

MIREncoder improves code optimization using multi-modal representation and machine learning.

SPOGA accelerates deep neural networks with improved speed and energy efficiency.

ConvBench offers a new way to assess convolution algorithm performance effectively.

Learn effective methods to estimate the energy footprint of software.

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

This paper analyzes the importance of auto-tuning for AMD GPUs in high-performance computing.

A look into uniform algebras and their role in Prolog and logic programming.

A guide on programming with types, examples, and realizability.

New models improve software code efficiency and compiler performance.

A new framework enhances reliability in asynchronous communication systems through time management.

A new approach optimizes kernel performance utilizing Ansor and Droplet Search.

A tool for verifying communication protocols in Clojure apps.

A framework for formal verification of oblivious algorithms to protect sensitive data.

LASSI helps translate computer programs for efficient scientific computing.

Introducing CLOi-Mapper, a flexible SLAM solution for commercial robots.

Combining visual and haptic sensors enhances pose estimation for safer human-robot collaboration.

New neural operators improve accuracy in predicting magnetic material behavior.

A system called TieBot helps robots learn to knot ties using simulations.

RoboUniView improves how robots learn tasks across different camera setups.

A look into better suspension systems for Mars exploration rovers.

A new method improves robotic learning through flexible action timing.

SPITE enhances motion planning for robots in changing environments with faster updates.

An analysis of skill requirements in UK job advertisements.

This paper introduces Demarcation to tackle online abusive speech effectively.

A new model highlights the importance of group appeal in social interactions.

Exploring how game theory can help manage disease spread and protection measures.

Introducing CryptoTrade, a system for smarter cryptocurrency trading using innovative data analysis.

This study analyzes how GPT-4 detects quitting intentions among vaping Reddit users.

This study investigates how data access affects political discussions on Twitter.

Examining how false information travels through WhatsApp in a rural village.

Automated tool for verifying the correctness of quantum programs written in Silq.

This article assesses the effectiveness of large language models in creating hardware assertions.

APIGen generates diverse, high-quality datasets for function-calling agents.

Exploring how design smells affect software development and maintenance roles.

New software simplifies analysis of complexity measures in time series data.

A new app helps farmers share feedback easily while working.

This article explores how users improve architecture-related questions on Stack Overflow.

Integrating sustainability into computing education is essential for future engineers.

A study on translating Nigerian English for better accessibility in Nollywood films.

This article presents a dual encoder system for effective speech representation learning.

MelodyT5 offers a new approach to music creation and analysis using symbolic notation.

GTZAN-synth dataset leverages synthetic music for better music tagging systems.

MelodyLM simplifies music creation using text and voice inputs.

SAVE model enhances audio-visual segmentation with efficiency and precision.

New model improves speech-to-text translation using large language models.

Research presents a model linking sound recordings to mouth movements for speech.

New AI models enhance reasoning skills using visual puzzles.

Examining the security of SHA-256 and recent collision finding techniques.

New hybrid methods improve efficiency in integer factorization for cryptography.

Differentiable Tree Experts improves tree operations in artificial intelligence.

A look into techniques for counting regular graphs and their applications.

FEAS enhances automated theorem proving for functional equations using new strategies.

Exploring complex relationships in linear equations within abelian-by-cyclic groups.

CTSLAM enhances robotic localization and mapping using flexible data integration.

NCR technology aims to improve signal strength in weak coverage areas.

Learn how controlled invariants maintain safety in various continuous-time systems.

Innovative approaches improve state and parameter estimation in changing systems.

Addressing pollution and investment challenges in the shift to renewable energy.

A method to enhance system efficiency without detailed knowledge.

New neural operators improve accuracy in predicting magnetic material behavior.

A system called TieBot helps robots learn to knot ties using simulations.

Exploring how game theory can help manage disease spread and protection measures.