Computer Science

Research reveals how brains simulate future events using complex models.

A new model approach for better data predictions using Squared Neural Families.

A new model improves accuracy in predicting traffic conditions.

A new method to train temporal knowledge graphs without forgetting past information.

New techniques improve understanding of dysarthric speech in communication systems.

This article examines the reliability of hate-speech detection systems against adversarial attacks.

A new method improves how machines create images from text, using sketches for accuracy.

A method for teaching computers to generate and customize game levels and models.

New datasets aim to improve legal text processing and reduce case backlogs in Brazil.

This research focuses on using keywords to enhance language model responses.

A new method to train temporal knowledge graphs without forgetting past information.

A new model enhances confidence scores in speech recognition systems.

Researchers develop AI to read and understand charts effectively.

W-Procer enhances named entity recognition in medical texts using few-shot learning.

New models enhance the detection of fake news using diverse data techniques.

Examining how grammatical roles shape word meanings in language.

Celebrating the life and impact of Ted Swart on his students and colleagues.

A breakdown of bucket elimination and its role in solving satisfiability challenges.

This article examines the difficulties in quickly simulating Hamiltonians in quantum systems.

A look at the role and efficiency of dictionaries in data management.

A look into the Steiner Tree problem and its applications across various fields.

An overview of quantum Kolmogorov complexity and its role in quantum correlations.

A new method improves the efficiency of NMPC using adaptive search space strategies.

A look into how agents form expectations and reason about their environment.

Researchers improve heat transfer analysis using GPUs and DSL for faster calculations.

New tools simplify FEM, making it easier to tackle complex shapes.

A new approach to maximize profits from battery storage in renewable energy markets.

A new method improves stock trading predictions using synergistic alpha factors.

A system to track fires and predict smoke spread for public health safety.

A new method improves efficiency in multi-objective optimization tasks.

Chemellia simplifies machine learning for atomic-level material studies.

GNSTODE offers new solutions for simulating complex particle interactions.

A new method enhances how we process complex data by recognizing symmetries.

AUC-opt aims to enhance the Area Under the ROC Curve for classification models.

A look into the Steiner Tree problem and its applications across various fields.

A new method enhances how we compare geometric graphs efficiently.

A novel approach to efficiently list paths on polyhedral surfaces.

Exploring the complexity of crossing numbers in almost planar and anchored planar graphs.

A new algorithm outperforms existing methods for point-in-polygon checks.

Exploring techniques to reduce graphs while preserving key distance relationships.

This article explores how language models enhance AI's strategic reasoning in games.

Learn how machine learning boosts online allocation efficiency.

Examining how delays impact strategies in competitive games.

A look into various voting methods and their fairness in decision-making.

New methods to improve welfare in ad auctions through better click prediction.

Learn how sellers can enhance auction outcomes with support information.

An overview of pricing methods in renewable electricity markets.

A study on effective grouping strategies based on friendship dynamics.

Research reveals how brains simulate future events using complex models.

LayoutMask enhances text and layout interaction for better document comprehension.

A new method improves accuracy in detecting landscape changes over time.

SAVE efficiently adapts image models for text-guided video editing.

A new approach to improve scene graph generation for better visual understanding.

UMD offers a new way to identify complex backdoor attacks effectively.

Researchers develop AI to read and understand charts effectively.

A new method improves how machines create images from text, using sketches for accuracy.

This study examines why students hesitate to engage in Q&A forums.

How political beliefs shaped conversations during the COVID-19 pandemic.

A look into techniques for identifying watermarks in AI-generated text.

Evaluating if AI can act morally based on observable actions.

Investigating harmful stereotypes in language model outputs through Marked Personas.

A deep dive into the importance of fairness in ML decision-making.

Examining the flaws of AUC in evaluating risk assessment tools across sectors.

Examining how AI systems influence human decision-making and agency.

A look at differentially private convex optimization for data protection in machine learning.

UMD offers a new way to identify complex backdoor attacks effectively.

A new framework enhances evaluation of NLP models against adversarial attacks.

A study on the effectiveness of neighborhood attacks in revealing training data.

A look into techniques for identifying watermarks in AI-generated text.

RowHammer threatens data integrity in high-bandwidth memory systems.

This technique improves test case generation for deep learning applications.

Learn how reversible watermarking safeguards deep neural networks against misuse.

A new approach to computing that prioritizes energy savings over strict accuracy.

This paper examines the importance of statistical indistinguishability in learning algorithms.

A study on how to maximize influence in social networks using targeted strategies.

Learn how electric cars can manage energy during travel.

Learn how machine learning boosts online allocation efficiency.

New techniques enhance efficiency and expressiveness in graph analysis.

A new model addresses correlated customer arrivals to improve revenue management.

New insights into Lee metric codes enhance data protection and error recovery.

AdapterEM enhances entity matching across diverse data formats efficiently.

A new system allows engineers to query space debris information using plain language.

Improving data discovery through innovative profiling and join quality assessment techniques.

ITR improves graph storage and query speed significantly.

Exploring how retrieval-augmented models improve accuracy in question answering.

Introducing BitE, a model that improves query optimization in databases using ensemble learning.

Path queries play a vital role in extracting meaningful data from graph databases.

A method to improve data quality monitoring in business data pipelines.

A new method enhances the search for physical archival materials.

This article examines how citation habits in NLP have evolved over time.

A study on improving peer review quality through innovative assignment evaluation methods.

DeepScribe project enhances cuneiform tablet transcription using advanced machine learning techniques.

Orphan articles hinder knowledge access on Wikipedia, affecting visibility and representation.

A look at how citation inflation skews our understanding of scientific contributions.

Examining how national CSIRTs use public information and free tools for incident response.

A new index offers a detailed view of ongoing research contributions.

Exploring a novel model using group structures to analyze graph relationships.

A new method enhances routing and scheduling in time-dependent networks.

A look into the mechanics and applications of spiking neural networks.

New insights into Lee metric codes enhance data protection and error recovery.

A study on Hitting Set algorithms and their average performance.

Exploring methods to list minimal dominating sets in graphs and hypergraphs.

Learn how compact repair groups improve data recovery in decentralized storage systems.

A look at GNNs and their role in solving complex optimization problems.

This article discusses the role of Deep Equilibrium models in federated learning.

Learn how CPU-GPU systems improve fluid dynamics simulations.

A new framework for federated learning adapts to shifting data while ensuring privacy.

New models improve air-to-ground communication using federated learning and generative neural networks.

Satellites are changing computing with real-time processing capabilities in space.

A new graph representation enhances how machine learning analyzes programming languages.

A fresh approach to mathematics using pure data and finite sequences.

Memory-centric computing changes data processing by moving computation closer to data storage.

Discover how quantum computing enhances clustering methods for better data analysis.

A new quantum algorithm speeds up power generation scheduling amid rising energy demands.

Examining how quantum computing enhances radar technology through ISLR optimization.

Memory-centric computing changes data processing by moving computation closer to data storage.

Exploring how the Zeno effect enhances Grover's algorithm for faster data searching.

Discover how dynamical Ising machines enhance problem-solving in complex optimization tasks.

TornadoQSim offers a modular framework for efficient quantum circuit simulations.

A new method enhances how we recognize actions in video using reservoir computing.

Examining how delays impact strategies in competitive games.

Analyzing the role of decisiveness in Markov chains and probabilistic models.

chemSKI uses graphs and local rules to model complex systems efficiently.

Learn about tree automata and their importance in processing tree structures.

A look into BNRA and the coverability problem for agent coordination.

This article explores the relationship between quotients and lattices in regular languages.

Explore how fractals and process systems relate through self-similarity and iterative processes.

A look at how different structures interact in formal languages.

Introducing a reliable method for assessing NeRF performance and quality.

Discover how neural path tracing and IPUs enhance graphic rendering.

A new method improves realism in character interactions within virtual spaces.

A fresh approach to generate high-quality animations from limited examples.

New techniques enhance image matching in medical analysis and diagnostics.

This method simplifies CAD design by generating variations from text prompts.

New tool creates custom passive grippers for various object shapes.

A method to automate CAD model matching between different systems for better teamwork.

A look at the benefits of heterogeneous SoCs for modern computing tasks.

RowHammer threatens data integrity in high-bandwidth memory systems.

An innovative hardware design for real-time learning in spiking neural networks.

A new tool enhances the efficiency of 3D CNNs on FPGA platforms.

Memory-centric computing changes data processing by moving computation closer to data storage.

Tsetlin Machines on FPGA enhance real-time learning with low power consumption.

SAFT enhances training speed and efficiency for noisy deep learning models.

Introducing a novel architecture for classical control systems in quantum computers.

ReSup improves emotion recognition by effectively handling noisy labels.

A new method enhances dialogue models for better interaction in mental health support.

Examining how AI systems influence human decision-making and agency.

A non-invasive mat system for tracking human activities through pressure sensing.

This article explores how language models enhance AI's strategic reasoning in games.

AMII model enhances communication for socially interactive agents through improved non-verbal behavior.

Discover the impact of serious games on education and training.

Using AI tools like GPT-4 to enhance educational practices.

A new method enhances the search for physical archival materials.

New models enhance the detection of fake news using diverse data techniques.

New methods enhance retrieval performance for lengthy texts in information systems.

Explore the significance of molecular physics in various scientific fields.

TIREx enhances reliability and collaboration in information retrieval research.

A new benchmark aims to improve information retrieval systems for Polish speakers.

Explore how SERP features influence website traffic and click behavior.

TransAct enhances Pinterest's recommendation system for better user experience.

BD-RIS enhances wireless communication through innovative design and optimization.

This study reviews the efficiency of integrated access and backhaul networks using mmWave technology.

Learn about covering codes and their applications in data processing algorithms.

Innovative strategies improve efficiency in identifying infected individuals during health crises.

Exploring a novel model using group structures to analyze graph relationships.

Learn about MSCS and their role in improving communication signal quality.

Federated learning improves model training while keeping user data private.

A new approach balances data size and quality for better multimedia experiences.

Exploring term rewriting in parallel computation for efficient data processing.

This paper examines the relationship between transductions, logic, and automata in language theory.

Introducing Concurrent Valuation Algebras for better data organization and system modeling.

A new method enhances the analysis of multi-trace properties in computing systems.

A new framework enhances how complex queries are answered using eventuality reasoning.

A clear framework for understanding agent cooperation and strategic interactions.

Examining how delays impact strategies in competitive games.

A new approach to tackle geometric concepts through labeled structures.

A new model approach for better data predictions using Squared Neural Families.

A novel framework enhances diversity in content recommendations for better engagement.

New datasets aim to improve legal text processing and reduce case backlogs in Brazil.

Exploring self-repellent random walks to improve sampling efficiency in complex systems.

A new method enhances data predictions for areas lacking sensor coverage.

A look into weighted classification metrics and score-oriented losses in neural networks.

A new model improves accuracy in predicting traffic conditions.

This research focuses on using keywords to enhance language model responses.

Blendstrings provide smooth, accurate function representations in various fields.

New methods for matrix multiplication improve speed and energy efficiency.

New methods enhance MPI Alltoallv communication for improved FFT performance.

Discover how FPGA technology improves high-precision matrix multiplication.

Learn about function calculus and its real-world applications.

SpComp enhances efficiency in sparse matrix calculations through smart optimization.

New software enhances XCT imaging with machine learning and data consistency.

Study investigates the impact of noise on matrix profile analysis of time series data.

Federated learning improves model training while keeping user data private.

This study examines synchronization in networks with changing connections over time.

Combining Bayesian methods with differentiable models can enhance agent-based modeling.

Learn how sellers can enhance auction outcomes with support information.

Limiting interactions among agents enhances decision-making in distributed systems.

A study on enhancing teamwork in agent-based systems using Bayesian networks.

Exploring privacy-preserving learning while tackling communication issues in federated reinforcement learning.

This article discusses designing systems for better decision-making in multi-agent environments.

New models enhance the detection of fake news using diverse data techniques.

Occ-BEV enhances vehicle perception through multi-camera 3D modeling and data integration.

A look into J-UNIWARD's message hiding technique and its minor calculation error.

A new approach tackles language and vision biases in VQA systems.

A method to enhance compressed 3D point cloud data using advanced neural networks.

C-MCR simplifies multi-modal learning by connecting existing knowledge efficiently.

A new method for creating synthesizers that benefits musicians.

New benchmark reveals performance gaps in document processing models.

Digital twins improve the management of satellite and drone communication networks.

A new framework enhances the detection of cyber attack paths.

T800 offers an efficient security solution for vulnerable IoT devices.

New models improve air-to-ground communication using federated learning and generative neural networks.

Generative models help address challenges in satellite communication by creating synthetic data.

Improving communication systems for connected and autonomous vehicles to boost traffic flow.

New techniques enhance power control in wireless communication systems.

New multi-channel communication standards boost road safety and efficiency.

Combining graph rewriting with GNNs for dynamic data analysis.

New neural networks learn transformations directly from data, improving efficiency and understanding of symmetries.

A novel method for training neural networks that combines classification and reconstruction.

A look at how evolutionary algorithms perform when faced with various constraints.

A study on how cell-like creatures evolve through natural selection in a virtual environment.

A new framework enhances the detection of cyber attack paths.

An innovative hardware design for real-time learning in spiking neural networks.

This study shows how to adapt TTS technology to different accents efficiently.

A look into weighted classification metrics and score-oriented losses in neural networks.

New methods enhance efficiency in analyzing large tensors with randomized algorithms.

New methods improve accuracy in modeling phase transitions in materials.

New methods improve efficiency and accuracy in thermal radiative transfer equations.

New numerical methods maintain charge and energy in particle interactions under randomness.

Learn how thermal noise currents can reveal material conductivity properties.

Learn how adaptive tensor methods enhance data processing efficiency and accuracy.

This article discusses a method for solving linear elasticity using Isogeometric Analysis.

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

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

A model for better predictions of I/O operations in Linux environments.

SWAM improves memory usage in mobile devices, boosting app responsiveness and user experience.

This framework simplifies the development of Linux kernel schedulers.

Discover how ZNS devices simplify SSD data management and improve efficiency.

LibPreemptible improves scheduling in cloud applications, reducing delays and enhancing performance.

Addressing the need for accurate sustainability in data centers.

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

Reassessing how we classify and understand sequential circuits.

Exploring the significance and applications of mobility data in society today.

A new framework helps scientists communicate and design better experiments.

A clear overview of work systems, their components, and management challenges.

A tool combining Selenium and JUnit 5 to streamline web application testing.

Examining risks and impacts of modded apps on users and developers.

Examining the links between living brains and computer systems.

Learn how CPU-GPU systems improve fluid dynamics simulations.

A model for better predictions of I/O operations in Linux environments.

A new method enhances accuracy in software performance predictions using focused data groups.

A method that combines data processing and ML predictions for faster decision-making.

Learn how RAID enhances data reliability and performance in storage systems.

SWAM improves memory usage in mobile devices, boosting app responsiveness and user experience.

ZeRO++ enhances communication efficiency in training large deep learning models.

Discover how encrypted DNS improves user privacy and web performance.

Exploring term rewriting in parallel computation for efficient data processing.

Colored e-graphs improve logical reasoning by reducing memory use and increasing speed.

This paper presents a formal model for secure computations in C language.

A superoptimizer improves SIMD instruction performance in LLVM, boosting program efficiency.

A new graph representation enhances how machine learning analyzes programming languages.

FreeCHR offers a uniform approach to Constraint Handling Rules across programming languages.

A new method for creating invariants in challenging loop structures.

A look at methods for verifying dynamic binding in programming.

Research reveals how brains simulate future events using complex models.

Introducing HIB for improved RL performance in real-world robotics.

Ground robots assist aerial drones in tough environments for better navigation.

A new method enhances how robots learn tasks using examples and language.

New models improve drone flight safety and efficiency in close proximity.

Occ-BEV enhances vehicle perception through multi-camera 3D modeling and data integration.

New method improves accuracy in locating objects indoors.

Exploring the complexities of overtaking in autonomous driving.

How political beliefs shaped conversations during the COVID-19 pandemic.

This article examines methods for identifying and classifying hate speech on social media.

Exploring how memes reflect views on Singapore's Total Defence policy.

Discover the significance of node role discovery in analyzing network dynamics.

Explore strategies to ensure safe routing in vulnerable networks.

Exploring the impact of urban design on accessibility and community vitality.

Explore how SERP features influence website traffic and click behavior.

A new method improves finding dense groups in social networks.

Research shows methods to better assign bug reports to developers.

Oasis streamlines outage responses for engineers, improving efficiency and speed.

This technique improves test case generation for deep learning applications.

Learn about the ReCO process for efficient application integration.

Examining the role of trust in technology and personal interactions.

This new tool simplifies AI pipeline creation using low-code programming and natural language.

A look into how data augmentation boosts source code training methods.

An overview of the emerging field of quantum software engineering and its challenges.

A new model enhances confidence scores in speech recognition systems.

New techniques improve understanding of dysarthric speech in communication systems.

A novel unsupervised approach enhances voice isolation in audio mixtures.

A new benchmark for evaluating machine learning models in understanding speech across languages.

This article discusses methods to enhance phone classification using audio features.

A new model enhances audio perception and reasoning capabilities in AI.

NASS improves voice isolation in noisy environments, outperforming traditional methods.

Enhancing sound quality metrics using new loudness calculation methods.

A method combining symbolic reasoning and neural networks for better decision making.

A new approach to improve accuracy in finding complex zeros of polynomial systems.

This article examines methods to show certain number sequences are positive.

Exploring efficient methods for creating winning strategies in two-player games.

Using the Risch Algorithm to improve datasets for machine learning in symbolic integration.

A look at how algebraic simplifiers enhance software reliability.

A novel method to find real solutions in symmetric polynomials efficiently.

A look at methods for handling polynomial equations and their applications.

New method enhances wind power forecasting accuracy despite missing information.

A look into faster decision-making in control systems using suboptimal methods.

Learn about infinite-dimensional observers for better control of engineering systems.