Computer Science

Introducing MaxCut-Bench for consistent algorithm assessment in optimization challenges.

A look at how deep learning models learn and prioritize features.

This article reviews a method to generate textures using Neural Cellular Automata.

Introducing Group-and-Shuffle matrices for efficient fine-tuning of neural models.

Examining how users shape toxic language in conversations with large language models.

A new method enhances safety and efficiency in industrial monitoring.

Researchers improve translation skills for over 100 languages, focusing on low-resource languages.

The 6GSoft project aims to innovate software for connected devices.

A new method aims to improve KGQA for non-English speakers.

A new system streamlines prompt creation for language models, improving user experience.

Key insights on how to select topics in text analysis.

Introducing Group-and-Shuffle matrices for efficient fine-tuning of neural models.

Researchers improve translation skills for over 100 languages, focusing on low-resource languages.

A study on the complexity of Irish traditional dance tunes using compression methods.

A project to create an HR chatbot with expert input and advanced retrieval methods.

This research highlights methods to improve language models by adding new vocabulary effectively.

This article examines how social hierarchies form between competing groups.

A strategy game where players program workers to reach their jobs amidst obstacles.

Explore the complexities of counting induced subgraphs in various graph properties.

This article discusses deducibility in the Lambek calculus and its complexities.

A deep dive into the behavior of Boolean functions and their approximate degrees.

An overview of graph polynomials and their relevance in various fields.

Exploring strategies for multiplying Boolean matrices using different formulas.

An overview of algorithms and their limitations in constraint satisfaction problems.

A new tool improves speed and accuracy in analog circuit design.

TeVAE model efficiently identifies anomalies in vehicle powertrain tests using time-series data.

A competition focuses on using ML for airfoil design simulations.

This method enhances shape representation and performance prediction in design.

New approach enhances decision-making by adapting insights from low-cost environments.

FAR-Trans dataset offers insights for improving investment recommendations based on real transaction data.

Anvil simplifies design optimization by integrating CAD, CFD, and AI techniques.

A look at how network theory reveals galaxy relationships in the Coma Supercluster.

Examining Cech persistence diagrams for better data analysis and machine learning applications.

Combining k-center and k-median for advanced data analysis.

A new method improves matching of non-rigid 3D shapes amid noise and distortions.

A look at disk graphs and their role in complex networks.

New algorithm improves bipartization solutions in disk graphs.

An exploration of the complexities in Snake Cube puzzles and their variations.

A new method for clearer visualization of point data using simple shapes.

This paper presents new scheduling methods for improving drone package deliveries.

This article examines fair allocation of indivisible goods using leveled valuations.

This article explores decision-making in games with hidden information using neural networks.

Learn how two-stage contracts address agent behavior and principal challenges.

Payments among agents can influence auction outcomes and cooperation among players.

Language models enhance communication for better decision-making.

Optimizing job scheduling can enhance customer satisfaction and business performance.

A deep dive into Proof-of-Stake mechanics and participation strategies.

A study on effective matching strategies considering preferences and constraints.

Open-Canopy provides high-resolution data for estimating canopy height across France.

A look at how deep learning models learn and prioritize features.

Exploring LaFAM: A label-free method for better AI decision understanding.

Introducing QRFs for clearer 3D reconstructions in challenging environments.

TrCAM-V offers a new way to locate objects in videos using minimal information.

RHRSegNet enhances semantic segmentation for night-time images, crucial for autonomous driving.

This method improves image search by combining images and text effectively.

This study uses satellite imagery to measure child poverty through advanced models.

This study examines how AI can score essays more effectively using Comparative Judgment.

FairPFN uses transformers to promote fairness in machine learning predictions.

A study on reducing counterfactual harm in decision-making tools.

This study reveals LLMs' preference for their own output over human-written content.

User activities play a key role in determining content seen on social media platforms.

A fresh approach targets user behavior to find fake news sites.

A study on how stereotypes affect language models using the GlobalBias dataset.

Explores how language models portray emotions linked to diverse religions.

Discover the role of isogeny in modern cryptographic methods using elliptic curves.

A new approach to improve intrusion detection using machine learning.

Exploring challenges and advancements in protecting sensitive data while maintaining its usefulness.

A new framework enhances security and efficiency in distributed machine learning.

BoostCom speeds up comparison tasks in FHE, improving efficiency for encrypted data.

Data-driven techniques must protect privacy while identifying the best options.

The challenge of combining differential privacy with sublinear algorithms in data analysis.

A new framework improves password manager interactions for safer online access.

The challenge of combining differential privacy with sublinear algorithms in data analysis.

Discover efficient methods for the minimax path problem in weighted graphs.

Explore the complexities of counting induced subgraphs in various graph properties.

New routing strategies improve efficiency in transportation networks.

Researchers link spatial search, state transfer, and sampling in quantum computing.

A fresh approach to connect terminal nodes efficiently in directed rooted networks.

EFVFL provides a stable method for efficient communication without sharing private data.

This research presents optimal methods for two devices to share resources effectively.

A new dataset accelerates seismic analysis using innovative machine learning techniques.

Learn how reference models can streamline design and enhance quality.

A look into the rise and applications of graph databases.

A look at key data pipeline tools and their roles in data engineering.

Streamlining data preparation and ML code to enhance accuracy and efficiency.

Discover how the Semantic SQL Transducer improves data clarity and management.

ACoNE offers an efficient model for generating explainable query embeddings.

A look into how anomaly detection improves business efficiency and identifies issues.

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.

Gymnasium simplifies research in reinforcement learning with versatile environments and support tools.

A new system to simplify writing literature reviews for researchers.

HALvest combines citation networks and texts for enhanced research insights.

This article examines the link between GHZ states and graph theory.

A new method to manage workloads efficiently by optimizing core usage.

A look into how stochastic drift influences decision-making and optimization.

New techniques improve reliability in data transmission using graph structures.

An overview of graph polynomials and their relevance in various fields.

Exploring the functions and applications of tree automata in computer science.

A faster approach for estimating contextuality in multi-qubit systems.

A novel approach improves how scientists reconcile gene and species trees.

A method to improve deep learning deployment on limited-resource devices.

An overview of the interactions in Cyber Physical Systems and their implications.

A new method addresses data challenges in AI for healthcare.

Learn how software engineering can lead to energy-efficient practices in technology.

BoostCom speeds up comparison tasks in FHE, improving efficiency for encrypted data.

A new method makes causal relationship analysis more efficient and manageable.

A guide to various Kubernetes setups and their functionalities.

New method enhances efficiency in solving optimal control problems with PDEs.

A look at federated learning combining differential privacy and blockchain for data security.

An overview of advancements in quantum computing and circuit design.

A survey reveals rising support for AI rights alongside concerns about its dangers.

Exploring the digital shift and its impact on maritime cybersecurity.

New methods in reinforcement learning leverage RRAM for improved efficiency and performance.

New neural networks using memristors enhance efficiency and adaptability.

Examining the role and impact of kill switches for smart contracts.

Exploring how online imagery shapes our self-perception and connections.

This article explores mailbox communication and its role in finite-state machines.

Learn how automata theory enhances the performance of language models.

Exploring how history-determinism and fair simulation relate in automata theory.

Exploring Generalized Timed Automata's impact on system decision-making and time management.

Exploring the functions and applications of tree automata in computer science.

Exploring the complexities of transforming NFAs into DFAs in computer science.

Exploring state complexity in automata theory and its implications for language processing.

An examination of randomness and complexity in sequences of symbols.

New deep learning model enhances motion prediction for solid objects in 3D.

New methods improve 3D scene appearance based on 2D images efficiently.

An overview of deep learning methods for 3D modeling from images.

This study examines avatar interaction methods to improve VR experiences.

Examining how feedback during collisions shapes user experience in crowded VR spaces.

Exploring the integration of neural networks in geometry for improved surface representation.

This article presents a method to align diverse character movements effectively.

AirSketch turns hand movements into clear sketches using ordinary cameras.

A look into enhancing FPGA use in DNN applications with new techniques.

A study revealing security flaws in popular mobile payment applications.

A unified TEE design improves CPU and NPU collaboration for secure computing.

A novel approach to optimizing digital circuit designs using deep learning methods.

FlexCross improves network data processing speed and flexibility, meeting modern demands.

Combining visuals and language enhances hardware code generation accuracy.

ARCO enhances deep learning model performance through intelligent hardware and software collaboration.

A new technique improves energy use in tree-based machine learning.

Examining how users shape toxic language in conversations with large language models.

A new AI approach uses quantum tunnelling to better understand complex images.

This study examines how trading influences player enjoyment in racing games.

Explore the latest in medical imaging technology and its educational impact.

A study on reducing counterfactual harm in decision-making tools.

A fresh approach to assess Human-AI Collaboration across various fields.

A system that tracks emotions to enhance student engagement in education.

How wearable technology and LLMs are changing health monitoring and data interpretation.

Key insights on how to select topics in text analysis.

A study on the complexity of Irish traditional dance tunes using compression methods.

Combining Content-based Filtering and Graph-based methods improves academic paper recommendations.

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

Learn how reference models can streamline design and enhance quality.

Larger datastores improve the performance and accuracy of retrieval-based language models.

A system to help Microsoft sellers find relevant content for business opportunities.

Assessing the effectiveness of retrieval methods over time is crucial for modern searches.

A study on the complexity of Irish traditional dance tunes using compression methods.

A new system improves image transmission over degraded broadcasting channels for multiple users.

Learn how reference models can streamline design and enhance quality.

A new approach simplifies neuron interaction analysis for better insights.

New techniques improve reliability in data transmission using graph structures.

Enhancing mobile networks for better energy savings and performance.

Learn how to protect sensitive commitments from eavesdroppers.

A new approach for better connectivity using satellites and aerial networks.

A new framework for agent communication focusing on privacy and consistency.

Exploring coalgebraic semantics for intuitionistic modal logic using image-finite posets.

A look into higher categories and their role in complex relationships.

A look into MDPs and their role in decision-making under uncertainty.

This article explores mailbox communication and its role in finite-state machines.

Explore how termination checkers help programs complete their tasks without infinite loops.

Explore how Markov Decision Processes aid in managing uncertain outcomes with risk considerations.

Advancing the transfer of proofs across different mathematical systems efficiently.

Introducing the Panel Clustering Estimator for improved treatment effect analysis.

Introducing MaxCut-Bench for consistent algorithm assessment in optimization challenges.

TrCAM-V offers a new way to locate objects in videos using minimal information.

This study uses satellite imagery to measure child poverty through advanced models.

A method to improve deep learning deployment on limited-resource devices.

Introducing Group-and-Shuffle matrices for efficient fine-tuning of neural models.

A new approach to analyzing fluid dynamics using MRI data.

Diffusion models offer new ways to efficiently generate sea-ice data.

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 tool for efficient structural optimization using automatic differentiation.

A new heuristic enhances solution finding in MILP problems.

This article examines how social hierarchies form between competing groups.

This article discusses a method for safe spacecraft docking in complex orbits.

Payments among agents can influence auction outcomes and cooperation among players.

Examining how social media influences opinion formation and polarization.

A guide to popular physics engines for reinforcement learning research.

A new method allows agents to adapt quickly when failures occur.

Discover how StockAgent uses AI to simulate stock trading and analyze market behavior.

This study examines how LLMs change information through interactions.

This method improves image search by combining images and text effectively.

LeRF combines deep learning and interpolation for better image resizing.

New AI model improves chest X-ray interpretation for better diagnoses.

A new method to generate engaging social media content using AI.

Discover how AI is transforming music generation with BandControlNet.

A novel approach improves deepfake detection using audio-visual analysis.

A new method enhances stuttering detection by combining audio, video, and text data.

A study on improving sound source localization by better using audio and visual information.

The 6GSoft project aims to innovate software for connected devices.

Streamline network management with Intelligent Routing as a Service.

Examining the role of RIS technology in advancing 6G wireless communications.

A new approach to enhance mobile network performance using machine learning.

A method to predict internet service degradation using early network metrics.

AR and VR demand better networks for a seamless user experience.

Study reveals how 5G data patterns can expose user activity.

Exploring solutions for timely data transmission in modern communication networks.

This article reviews a method to generate textures using Neural Cellular Automata.

A new AI approach uses quantum tunnelling to better understand complex images.

Dynamic Net Architecture offers a fresh approach to intelligent visual systems.

GRASS improves graph neural networks with innovative rewiring and attention mechanisms.

Examining the impact of periodic activation functions on learning efficiency and generalization.

This paper introduces a framework for gray-box optimization to improve problem-solving techniques.

Using Genetic Programming to enhance DNA sequence analysis and predictions.

Assessing LLM capabilities using grid-based games like Tic-Tac-Toe and Connect Four.

New methods for accurately estimating functions using rank-1 lattices are introduced.

Introducing Group-and-Shuffle matrices for efficient fine-tuning of neural models.

Discover how digital nets improve efficiency in complex mathematical tasks.

New techniques improve accuracy and efficiency in simulating particle movements.

A look into how temperature changes during dunking scenarios.

Explore Grassmannians and their role in geometry and curvature analysis.

This article examines behaviors in multiagent systems and methods to control them.

New methods enhance solving complex fractional partial differential equations.

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.

A new framework enhances task scheduling and timing in multi-threaded ROS 2 executors.

UBPF simplifies eBPF program management across diverse cloud environments.

CRISP safeguards cloud applications against rollback attacks, ensuring data integrity and security.

This article covers a system that manages communication between processes using sandboxes.

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.

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 new framework estimates how deep learning models perform on various GPUs.

Simopt enhances FPGA design by leveraging simulation data for improved performance.

RASM improves wireless communication efficiency and reliability through innovative techniques.

A new method estimates power use and heat in CNN accelerators for better performance.

Explore how termination checkers help programs complete their tasks without infinite loops.

A formal approach to ensure reliability in stateful dataflow systems like Apache Flink.

Exploring the use of case studies to enrich programming language learning.

Combining programming and traditional methods enhances understanding of electromagnetic theory.

A hands-on course to understand type systems in programming using Stella.

A study on teaching cybersecurity in computer programming courses.

A new method simplifies programming with efficient software generation and improved specifications.

A new framework improves communication reliability in multiparty message-passing protocols.

A new system helps robots learn from language and images for better task performance.

Learn how path planning enhances farming operations with smoother vehicle navigation.

This research explores how radar technology enhances legged robots' location data.

This article explains how robots can navigate better using innovative path planning methods.

A new method proposes a better way for robots to learn tasks efficiently.

New dataset aids in finding hidden cracks in wind turbine blades.

CTSLAM enhances robotic localization and mapping using flexible data integration.

A method to help robots gauge object shapes and positions.

The 6GSoft project aims to innovate software for connected devices.

User activities play a key role in determining content seen on social media platforms.

A fresh approach targets user behavior to find fake news sites.

Examining how curvature improves understanding of community structures in various networks.

Leveraging social media to enhance vehicle cybersecurity and mitigate emerging threats.

Examining how news articles shape opinions in online spaces.

Study reveals changing patterns of toxicity on Reddit and Wikipedia over time.

Study examines influencer strategies for sponsored content across different countries.

A detailed analysis of bugs in Solidity compilers and their implications.

The 6GSoft project aims to innovate software for connected devices.

A look at the role of AI in coding securely as we approach 2030.

New methods improve code generation efficiency and accessibility for programmers.

Learn how software engineering can lead to energy-efficient practices in technology.

Learn how reference models can streamline design and enhance quality.

A look at service colonies and their role in modern software systems.

A new platform simplifies faculty performance tracking and data analysis.

SingFlex offers innovative solutions for creating diverse singing voices efficiently.

A study on the complexity of Irish traditional dance tunes using compression methods.

RefinPaint enhances music creation by identifying and refining weak areas effectively.

A new framework enhances speaker verification performance with limited data.

Exploring new ways AI can collaborate with musicians through interpretation.

CADE improves audio detection against evolving spoofing threats using continual learning techniques.

A new method helps robots find fallen objects using sound.

New voice command systems enhance drone control without the need for hands.

CTSLAM enhances robotic localization and mapping using flexible data integration.

Research highlights methods to maintain dialogue consistency in restaurant-related conversations.

New method improves classification accuracy and adaptability through error detection.

Discovering connections between complex reflection groups and linear differential equations.

Recent advancements in Real Quantifier Elimination and CAD improve problem-solving efficiency in mathematics.

Learn how math aids in understanding chemical reactions and their interactions.

A look into polynomial handling with Lean's features and challenges.

A new approach to event prediction using dynamic causal rules and dual history contexts.

Wind energy is rising, but operational costs remain a challenge for sustainability.

A look into how changing connections influence oscillators in various systems.

New approaches enhance control strategies for complex, nonlinear systems using random features.

Exploring the interaction between production decisions and transportation costs in trade.

A study on effective impedance measurement methods for reliable bearing condition monitoring.

A device offers real-time tracking of cancer treatment responses, improving patient care.

A method to help robots gauge object shapes and positions.

Understanding how robots can learn about their environments independently.