Computer Science

Examining GNNs for classifying particle collision events.

Introducing EARL: a new method for effective online continual learning.

This paper examines the ethical challenges of AI in mental health care.

This paper discusses how language models learn and evolve through interaction.

A new framework improves understanding of Bayesian optimization through Shapley values.

Researchers improve robot navigation through refined motion planning techniques.

Integrating human reasoning into AI training enhances model explanations and builds trust.

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

Examining the use-mention distinction in speech online.

This paper examines the ethical challenges of AI in mental health care.

Kallaama creates a speech dataset in local languages to aid Senegalese farmers.

This paper discusses how language models learn and evolve through interaction.

Research highlights how ML and NLP can aid in identifying depression.

This article examines how language models handle pronouns and the implications for identity.

Integrating human reasoning into AI training enhances model explanations and builds trust.

Research shows how curiosity helps robots learn about objects through exploration.

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

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

Quantum annealers show promise in solving complex optimization challenges effectively.

A guide on resource allocation strategies to curb illegal activities.

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

Analyzing communication strategies among players to improve data processing efficiency.

A look at PAC learning, quantum techniques, and their implications for machine learning.

A new approach using k-local quantum search enhances efficiency in solving k-SAT challenges.

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

Hyperdrive streamlines trading of fixed and variable rate financial products.

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

Research highlights innovative techniques for optimizing heat transfer efficiency.

New methods improve accuracy and speed in predicting material fatigue.

New methods improve understanding of neuron interactions and brain functions.

A new approach to detect spoofing in financial markets using machine learning and expert input.

Visibility maps enhance fire safety by ensuring clear exit paths during smoke conditions.

Methods for quickly measuring similarity between complex curves.

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

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

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

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

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

Insights into hyperplane transversals and their impact on compact connected sets.

A new method enhances efficiency in creating 3D models from real-world data.

Examining how agents and principals share information on performance metrics.

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

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

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

Best Response Shaping improves cooperation among agents in competitive environments.

Examining federated learning protocols to enhance privacy while improving model accuracy.

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

A new audit system aims to reduce fraud in artificial currency programs.

Introducing EARL: a new method for effective online continual learning.

A new approach estimates 3D poses from multiple views without ground-truth data.

BodyMAP combines depth and pressure data to enhance care for bedridden patients.

A new method allows artists to customize generated images with greater control.

A novel method for improving multi-label classification using synthetic image generation.

A new method enhances object detection in autonomous vehicles using combined sensor data.

LidarDM generates realistic LiDAR videos for autonomous vehicle training and testing.

A new method enhances Vision Transformers' performance on imbalanced datasets.

Examining the use-mention distinction in speech online.

Analyzing how false information affects beliefs and actions in today's world.

This paper examines the ethical challenges of AI in mental health care.

This article examines how language models handle pronouns and the implications for identity.

Addressing content moderation issues in the fediverse with innovative strategies.

Blockchain technology reshapes money transfers, boosting efficiency and access globally.

A study focusing on fair and explainable models for substance use disorder treatment predictions.

Examining the security implications of AI-generated code using security APIs.

This article explores how users perceive adversarial phishing sites and ways to improve detection.

A new system improves location verification for citizen reports during crises.

Examining the security implications of AI-generated code using security APIs.

Explore how to protect data privacy amidst growing AI technology.

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

A framework using agents empowers users to manage IoT security and privacy preferences.

Examining how machine unlearning can expose sensitive data.

A new method enhances FHE performance while maintaining accuracy in data analysis.

Learn how history trees improve agent interactions in dynamic networks.

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

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

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

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

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

This article discusses how neurons represent hierarchical concepts and the modeling challenges involved.

New methods increase efficiency in analyzing subsequences across specified data ranges.

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

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

New algorithms ensure fairness and diversity in data selection.

A novel filter solution for efficient data handling and scalability.

A look at techniques for improving cloud database efficiency.

EncDB offers improved security and efficiency for managing encrypted data in the cloud.

A new method to improve the efficiency of complex database queries.

TabSQLify simplifies table reasoning by breaking down large tables for better processing.

Enhancing dataset descriptions for better compliance and usability.

A look at shared knowledge and its role in society.

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

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

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

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

A method to create machine-readable data before publication to improve research efficiency.

A new web application aids reintegration for those released from prison.

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

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

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

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

Learn how identifying codes help pinpoint faults in networked systems.

This article examines colored graphs and their significance in various fields.

Explore the cops and robber game and its relevance in graph theory.

Learn about splitter networks and their role in efficient item management.

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

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

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

Learn how history trees improve agent interactions in dynamic networks.

MOPAR improves efficiency and cost-effectiveness of deep learning inference on serverless platforms.

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

A study on improving GPU performance for stencil computations in scientific applications.

Learn how sharding improves database performance and efficiency.

New course combines quantum and classical computing for future readiness.

Examining the growth of Femtech and the associated privacy concerns.

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

Discover how neuromorphic computing improves communication in microgrids.

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

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

Examining the role of wireless technology and blockchain in enhancing the Metaverse experience.

Exploring the benefits and challenges of RSFQ systems in modern electronics.

A new method automates analysis of probabilistic program outputs.

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

A deep dive into timed automata and their learning processes.

Exploring profinite trees' role in understanding regular languages.

A new method enhances RL agents' learning through structured rewards.

This article examines the role of multiple counters in finite automata.

Explore the role of tilde-isometric words in string transformations and their applications.

Explore the functional closure properties of finite weighted automata and their significance.

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

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

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

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

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

Examining how sound and sight together improve data understanding.

WebXR transforms how we engage with immersive digital environments.

A look into the advantages of meshlet compression for rendering in graphics.

Analyzing hardware and software for efficient quantum computing solutions.

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

Introducing a new programming model for efficient hardware accelerator development.

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

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

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

New study evaluates optimization algorithms on PIM to enhance machine learning efficiency.

Exploring new methods in channel estimation to improve wireless communication accuracy.

Examining tactile methods for simulating weight in virtual spaces.

Examining the use-mention distinction in speech online.

This system simplifies data insight extraction for analysts using large language models.

Analyzing how false information affects beliefs and actions in today's world.

Exploring the role of generative AI in enhancing software safety practices.

A new framework improves understanding of Bayesian optimization through Shapley values.

A study on how people spend their waiting moments.

Our model generates hint-text to improve usability for visually impaired users.

This guide helps streamline the evaluation of recommendation systems for better user experience.

MGFiD improves accuracy and efficiency in answering open-domain questions.

A study on the effectiveness of ULTR techniques for search ranking improvements.

A new method improves search engine ranking using synthetic queries.

DiffGT improves recommendations by reducing noise and understanding user preferences more effectively.

Automating ontology population improves knowledge management and accessibility.

A new method for creating personalized content using user preferences.

This paper discusses how to personalize LLMs using retrieval methods for better user interactions.

Innovative coding improves communication systems in challenging environments.

TREET utilizes transformers to improve transfer entropy analysis across various fields.

LEO satellites paired with RIS technology improve global connectivity and network efficiency.

New methods improve the efficiency of quantum information transmission.

A new method enhances task completion speed and resource use.

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

A new method enhances user scheduling in wireless networks using channel statistics.

CLOUD offers a solution for hidden causes in causal analysis across varied data types.

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

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

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

Quantum annealers show promise in solving complex optimization challenges effectively.

Automating ontology population improves knowledge management and accessibility.

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

A new approach reduces complexity in checking data structure correctness.

A look into resource semantics and its applications in modeling systems.

New methods enhance detection of unusual behaviors in chemical reactions.

Discover how Neural Network Potentials transform molecular simulations for researchers.

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

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

Introducing EARL: a new method for effective online continual learning.

Stacking improves efficiency in training deep neural networks by leveraging existing knowledge.

Exploring the role of generative AI in enhancing software safety practices.

This guide helps streamline the evaluation of recommendation systems for better user experience.

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.

Exploring PETScML's impact on scientific machine learning through second-order methods.

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

Study of teamwork among agents with unique coordination challenges.

Best Response Shaping improves cooperation among agents in competitive environments.

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

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

Revolutionizing agent performance through evaluation and experience accumulation.

Introducing ARMCHAIR, a system for enhanced teamwork between humans and robots.

This study examines how delays affect stochastic approximation in reinforcement learning.

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

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

WebXR transforms how we engage with immersive digital environments.

New method enhances speech synthesis for individuals who cannot speak.

AniFrame makes programming art accessible for newcomers with an easy-to-use approach.

New dataset enhances image generation from complex news captions.

A new method improves fact-checking of claims on social media.

Shotit enables users to find videos quickly using images, streamlining the search process.

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

Learn how edge computing transforms data processing for IoT applications.

Learn how MoE and Generative AI enhance video content in the Metaverse.

A new method enhances user scheduling in wireless networks using channel statistics.

Next-gen networks promise smarter connectivity with enhanced multiple access techniques.

Learn how the EXP3 algorithm enhances performance in multi-stage systems.

Examining how terrain knowledge impacts UAV communication performance and deployment.

A system connecting AI agents for smarter collaboration and efficient networking.

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

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

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

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

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

A new flexible method for mutation rates enhances evolutionary algorithms' effectiveness.

Structurally Flexible Neural Networks improve adaptability for diverse tasks.

EODE enhances cancer classification accuracy through innovative model techniques.

This article discusses new methods for accurately capturing shocks in fluid dynamics.

Exploring the connection between HPV and cervical cancer through research and prevention.

Introducing polyarcular intervals for improved error management in complex calculations.

A look at advancements in electric motor efficiency and rotor optimization techniques.

An overview of Bessel functions, their properties, and applications in various fields.

A method for accurately calculating eigenvalues and eigenfunctions in complex problems.

Learn to improve optimization using simpler models combined with high-quality data.

This article presents a detailed approach for simulating energy flow in high-temperature systems.

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

A new method to reduce data center memory costs effectively.

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

Berrify strengthens BPF security against Spectre vulnerabilities without sacrificing performance.

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

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

Unikernels offer efficient solutions for Internet measurement, requiring fewer resources and quicker deployment.

A new system improves GPU checkpointing and restoration for enhanced 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.

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

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

Analyzing hardware and software for efficient quantum computing solutions.

Examining how customers choose between serving stations and its impact.

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

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

Synthetic data provides cost-effective solutions while ensuring privacy and reducing bias.

New techniques reduce memory access and boost performance in deep learning models.

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

A new method improves trust in automated program verification.

A new method automates analysis of probabilistic program outputs.

A new approach to streamline effectful computations in programming languages.

A method for converting offline algorithms into online counterparts efficiently.

This paper presents an efficient tree diffing method using SAT solving.

Innovative approaches improve performance in sparse tensor computations across various applications.

A new approach reduces complexity in checking data structure correctness.

Examining tactile methods for simulating weight in virtual spaces.

A study reveals the impact of driving style on automated vehicle design.

An overview of formal methods for designing safe autonomous systems.

A new framework improves understanding of Bayesian optimization through Shapley values.

Researchers improve robot navigation through refined motion planning techniques.

Research shows how curiosity helps robots learn about objects through exploration.

LidarDM generates realistic LiDAR videos for autonomous vehicle training and testing.

A new dataset aids indoor tracking research using multiple sensor types.

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

Examining the use-mention distinction in speech online.

New models enhance analysis of complex systems through directed hypergraphs.

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

A framework for improving pre-trained model selection through graph learning.

Exploring how edge weights influence selection in population dynamics.

Study reveals how Twitter's algorithms affect political opinions and echo chambers.

Examining how YouTube's recommendations impact perceptions of abortion.

Exploring the role of generative AI in enhancing software safety practices.

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

Introducing WebSPL, a structured method for efficient web application creation.

Exploring how AI-Tutors enhance programming learning experiences for students.

The ROBUST dataset helps researchers address software issues in robotics.

A proposal for a reference architecture in knowledge engineering to enhance system efficiency.

Learn how STPA and LTL create safer systems.

Study reveals how code modifications influence software quality metrics.

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

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

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

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

Enhancing ASV systems to recognize children's voices accurately.

New technology enhances the accuracy of lung disease diagnosis through sound analysis.

Examining how sound and sight together improve data understanding.

New methods improve accessibility and accuracy in audio captioning.

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

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

Exploring total division in mathematical structures and its implications.

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

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

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

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

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

Examining tactile methods for simulating weight in virtual spaces.

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

A study reveals the impact of driving style on automated vehicle design.

An overview of formal methods for designing safe autonomous systems.

Introducing efficient control methods for large-scale systems using distributed observers.

A new method improves traffic safety and efficiency through adaptive cruise control.

A new architecture to protect power electronic systems from cyber threats.

A new algorithm improves patient monitoring during mechanical ventilation for better care.