Computer Science

A method to improve neural network interpretability and performance inspired by the human brain.

A look at how language models predict words and their workings.

Introducing a structured framework for language models to improve decision-making.

A new method combines Tsetlin machines and Bayesian networks for better predictions.

This article explores ways to enhance conversational AI by learning from past mistakes.

A new method improves predictions for safer autonomous driving in urban environments.

Exploring methods to improve decision-making under uncertainty in reinforcement learning.

SLiC offers a simpler method for enhancing language models using human feedback.

Assessing the role of LLMs in enhancing guided reading practices.

A look at how language models predict words and their workings.

A method to enhance word similarity measures for frequently used terms.

Introducing a structured framework for language models to improve decision-making.

Researchers introduce better ways to measure language model performance.

ISI-Clear helps users access global events in multiple languages effortlessly.

This article explores ways to enhance conversational AI by learning from past mistakes.

SLiC offers a simpler method for enhancing language models using human feedback.

Examining contracts and verification in agent decision-making through Boolean games.

New algorithms identify truncation in normal distributions with fewer samples.

High dimensional expanders connect diverse fields, revealing hidden relationships in mathematics.

A look into the complexities of testing polynomial identities.

This article discusses enhancing automated reasoning tools with interactive certification protocols.

A deeper look into decision-making strategies considering follower uncertainties.

Research reveals challenges in learning distributions of brickwork random quantum circuits.

Learn about the Weisfeiler-Leman algorithm and its impact on graph isomorphism.

Research advances in reconstructing videos from brain signals using fMRI data.

A new method helps lenders predict losses more accurately in credit risk.

A look at architectured ceramics that excel in heat and stress tolerance.

Exploring the complexities of designing electric vertical takeoff and landing aircraft.

An overview of cryptocurrency market growth and dynamics.

This article presents an innovative mass lumping method for enhanced accuracy in structural dynamics.

A new method improves thermal predictions, ensuring better performance for multi-core processors.

New techniques improve detection and analysis of chirp signals in various fields.

Two innovative algorithms improve convex hull finding for large datasets.

A look into funnel polygons, hidden sets, and convex covers.

A new method improves geometric graph efficiency for various applications.

A method for grouping line segments and polylines based on distance measurement.

Learn how AFM reshapes meshes while preserving their structure.

An overview of circuit polynomials and their significance in point arrangements.

This article examines the complexities of shortest paths in graph associahedra.

TrueKNN improves neighbor search by dynamically adjusting the search radius.

Examining contracts and verification in agent decision-making through Boolean games.

Examining how simulation affects cooperation and decision-making in AI interactions.

A fresh mechanism for participatory budgeting to enhance voter preference expression.

Algorithms improve decision-making in random value scenarios.

A method for citizens to influence local budget decisions.

Introducing a new model for community budget decisions that reflects diverse preferences.

Understanding proxy voting's role in enhancing voter engagement and decision accuracy.

This article discusses a new algorithm for effective multi-agent cooperation.

New method enhances face detection accuracy in challenging scenarios.

MultiPlaneNeRF simplifies 3D modeling from images, offering fast and efficient results.

A new model improves image analysis by focusing on spatial relationships among patches.

A new method improves predictions for safer autonomous driving in urban environments.

OR-NeRF simplifies and speeds up object removal in 3D image editing.

A new method improves object segmentation accuracy using multiple image types.

Discover a new method for generating scalable vector fonts with improved quality.

Discover how AnalogNAS enhances AI efficiency for smaller devices using analog IMC.

Education is key to fostering sustainable practices in computing.

This study presents a new method for analyzing political party positions using policy areas.

Personalized SMS campaigns can improve cancer check-up compliance and health outcomes.

Study reveals significant bias in de-identification methods for clinical names.

C-BOBCAT improves accuracy and security in computerized testing.

Federated learning offers solutions for fairness in AI-driven healthcare predictions.

A new approach to fairness using social networks instead of sensitive traits.

A look at the global discourse surrounding hydroxychloroquine during the pandemic.

A new oracle-less attack reveals risks in latch locking methods for chip security.

Exploring advancements in cryptography amid the rise of quantum computing.

A new method enables quantum and classical channels to coexist securely in fiber optics.

Learn how POET addresses cybersecurity challenges in industrial PROFINET systems.

A new system automatically secures programs from leaks during speculative execution.

Study reveals significant bias in de-identification methods for clinical names.

A new method enhances detection of illegal activities in Bitcoin transactions.

A new method for training models while protecting sensitive data.

Exploring new quantum methods to improve consensus in distributed systems.

Two innovative algorithms improve convex hull finding for large datasets.

New algorithms streamline item selection under budget constraints for better decision-making.

New algorithms identify truncation in normal distributions with fewer samples.

An overview of constraint satisfaction problems and their complexities.

Exploring efficient distance sensitivity oracles for networks with potential edge failures.

This article covers algorithms for achieving consensus and reliability in distributed systems amid failures.

This study examines new approaches to improve matching efficiency based on preferences.

An initiative to integrate water and health information for better decision-making.

Applying information theory can improve our approach to database management.

Exploring the impact of Deep Clustering on data cleaning and integration tasks.

New software enhances image transmission using semantic maps and polar codes.

Learn how four-valued logic improves database accuracy in uncertain scenarios.

Hydro project aims to simplify programming for distributed systems.

Learn how knowledge graphs organize information and simplify querying.

A method to learn from the entire structure of relational databases, improving data representation.

Open access articles increasingly cited on Wikipedia enhance knowledge sharing.

A comprehensive collection of computational linguistics research papers for open science.

A new approach helps researchers find relevant datasets using natural language.

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.

An in-depth look at encoding methods for discrete quadratic models.

This study examines new approaches to improve matching efficiency based on preferences.

An overview of circuit polynomials and their significance in point arrangements.

Examining effective strategies for playing the graph coloring game on multipartite graphs.

Exploring the reconfigurability of arc-disjoint arborescences and their implications.

Learn about the Weisfeiler-Leman algorithm and its impact on graph isomorphism.

This research shows solvability in key semigroup problems for certain metabelian groups.

Learn how S-TEGs improve process modeling across industries.

TSoR enhances network performance for containerized applications using RDMA.

Exploring new quantum methods to improve consensus in distributed systems.

Frontier sets a new standard with unmatched HPL performance and GPU optimization.

New methods improve efficiency and quality in proton therapy for cancer.

Discover how Hibernate Containers improve performance and resource management in serverless applications.

New model improves performance of computer systems using renewable energy.

A new tool for evaluating data structures with real-life inspired workloads.

Learn how Derecho enhances the reliability of distributed systems through effective replication and consensus.

IMBUE architecture enhances machine learning efficiency using ReRAM technology.

A look at an efficient method for data processing and analysis.

A new device promises faster, energy-efficient processing in optical neural networks.

A look into PUBO and QUBO for better quantum optimization solutions.

A look into the new quantum version of the k-NN algorithm using Euclidean distance.

New approaches to mimic biological neurons for real-time signal processing.

New analog systems use light for faster, energy-efficient information processing.

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

A new tool for reasoning in modal logic with improved capabilities.

A look at Monadic Tree Logic for analyzing tree structures and their properties.

A look into Moore automata and their relationships with Mealy automata.

A look into the complexities of nondeterministic and deterministic automata.

A new method for verifying communication protocols in multiparty systems using automata.

New live programming tools aim to simplify software modeling and enhance user experience.

Explore the unique structure of -representations and their links to automata.

Introducing a new model for effective real-time systems verification.

DragGAN revolutionizes image editing with interactive, precise manipulations.

Learn how AFM reshapes meshes while preserving their structure.

Polyhedral splines simplify the creation of smooth surfaces in various applications.

A new tool enhances TMS therapy by offering real-time electric field visualization.

Discover how regularized distances improve shape analysis and geometry processing.

Focus on audience experience to create engaging animations.

A new method to speed up ray tracing rendering significantly.

New methods improve 3D reconstruction of reflective surfaces using neural rendering techniques.

Discover how AnalogNAS enhances AI efficiency for smaller devices using analog IMC.

A novel approach for designing efficient quantum circuits using the Standard Recursive Block Basis.

Examining the complexities and solutions in managing control flow for quantum computing.

IMBUE architecture enhances machine learning efficiency using ReRAM technology.

ChipGPT makes chip design simpler using everyday language for engineers.

Exploring HLS use in efficient Wi-Fi transceiver design and performance.

DeepGate2 enhances circuit representation learning for efficient electronic design automation.

Examining the role of FPGA techniques in enhancing hardware security.

Examining the impact of user-driven moderation on online experiences.

Machines are learning tasks through natural conversations with humans.

This article examines how developers can trust AI tools in coding.

Research on assistive devices tracks brain and muscle signals during movement errors.

Analyzing user interaction with public and private news posts on Facebook.

Discover how interactive visualizations enhance image recognition model training.

This study assesses how AI models represent South Asian cultures.

A new method enhances smartwatches' voice assistant performance through audio and gesture integration.

Researchers use advanced models to improve gold nanorod synthesis methods.

A new framework enhances emotional support conversations for users seeking help.

Personalized SMS campaigns can improve cancer check-up compliance and health outcomes.

A novel approach to improve recommendations by focusing on multiple relevant items.

This study explores the effectiveness of QPP in improving conversational search systems.

A new method improves document retrieval by refining query representations through feedback.

Examining generative retrieval's performance on large document datasets.

Exploring the unique difficulties faced by visually impaired shoppers online.

Investigating quantum channels, error correction, and spin alignment for better information transfer.

STAR-RIS technology enhances wireless connections and signal handling in modern communication.

A look into random processes and their expected supremum.

Study of VDFAP channels reveals key insights into molecular communication capacity.

Harnessing IRS technology can significantly improve wireless network performance.

A new caching method improves data delivery in unpredictable wireless networks.

Exploring new methods for efficient wireless communication in crowded environments.

Applying information theory can improve our approach to database management.

Explore the role and importance of Lie algebras in mathematics and physics.

An insight into type theories and their significance for programming and data structures.

An overview of composition methods and their significance in finite model theory.

Learn how constructive proofs lead to useful computer programs and efficient computations.

A new system automatically secures programs from leaks during speculative execution.

A look at strong pseudomonads and premonoidal bicategories in programming.

New method improves decision tree model security and verification against evasion attacks.

A new tool for reasoning in modal logic with improved capabilities.

This study addresses prediction instability in deep neural networks, proposing effective solutions for improvement.

A method to improve neural network interpretability and performance inspired by the human brain.

Introducing a structured framework for language models to improve decision-making.

Exploring the potential of Temporal Fusion Transformer for load prediction.

A new model improves image analysis by focusing on spatial relationships among patches.

This article explores ways to enhance conversational AI by learning from past mistakes.

Exploring methods to improve decision-making under uncertainty in reinforcement learning.

This study shows how directed edges enhance GNN performance, especially in heterophilic graphs.

Learn how NUBO helps researchers optimize costly evaluations using Bayesian techniques.

A new method improves solutions for complex differential equations using Haar wavelets and radii polynomials.

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.

Examining contracts and verification in agent decision-making through Boolean games.

Research shows how AI can promote cooperation through understanding environments and social dynamics.

Introducing a new model for community budget decisions that reflects diverse preferences.

A method for optimizing vehicle routes amid changing conditions.

Improving cyclist models in SUMO using real-world data to simulate behavior accurately.

Research shows community structure affects how languages evolve over time.

Integrating symbolic and neural agents for superior system performance.

Robots in warehouses can boost efficiency by moving obstacles to complete tasks faster.

New methods improve sentiment analysis with limited labeled data.

A new model enhances video question answering using game theory principles.

LORIS generates high-quality music that syncs perfectly with video movements.

GAMIVAL evaluates streaming quality for mobile cloud gaming without reference videos.

SoCoSearch improves how we find characters in video content using social context.

A dataset aimed at improving fact-checking by combining text and images.

A proactive method to safeguard images against deepfake manipulations.

Research enhances video quality evaluation using advanced methods and comprehensive databases.

TSoR enhances network performance for containerized applications using RDMA.

A new method enables quantum and classical channels to coexist securely in fiber optics.

Learn how POET addresses cybersecurity challenges in industrial PROFINET systems.

A new method predicts moving obstacles to enhance mmWave communication.

Learn how drones and high-altitude platforms improve data communication.

This study analyzes the impacts of co-located base stations on resource sharing among operators.

Exploring the potential of the quantum Internet and its impact on communication.

LEOShot allows faster satellite data processing while ensuring privacy.

A method to improve neural network interpretability and performance inspired by the human brain.

CHNNet offers faster learning and improved performance in neural networks.

Combining traditional methods and machine learning to improve urban transit networks.

LavaBO offers efficient solutions for complex optimization problems using neuromorphic computing.

SPENSER automates the creation of Spiking Neural Networks for improved image classification.

Enhancing Sparse Neural Networks through optimized activation functions and hyperparameters.

A novel approach to optimization using principles of perfectionism.

GELU offers advantages over traditional activation functions in neural networks.

Frontier sets a new standard with unmatched HPL performance and GPU optimization.

A new method boosts GAN training speed and image quality.

Combining methods to enhance accuracy and efficiency in fluid dynamics.

An overview of stabilization in the virtual element method for numerical analysis.

Exploring the role of potential vorticity in weather prediction and fluid dynamics.

A system that predicts ingredient quantities for better cooking results.

Innovative approaches tackle challenges of singularly perturbed convection-diffusion equations.

A new variational method enhances image restoration from noise.

New method improves resource allocation for users with changing needs.

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

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

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.

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

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

Reassessing how we classify and understand sequential circuits.

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.

Learn how waiting times impact various industries and optimize operations.

A look at performance modeling and its role in deep learning systems.

This article reviews the Gittins policy's role in optimizing job scheduling.

TrueKNN improves neighbor search by dynamically adjusting the search radius.

Introducing the Multiple Comparison Matrix for clearer algorithm evaluation.

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.

Research shows language models can learn meaningful content from programming languages.

Examining the complexities and solutions in managing control flow for quantum computing.

A static analysis method enhances protocol format inference for better network security.

This work verifies the reliability of a concurrent data structure for processors.

Investigating the complexities of equivalence in typed lambda-calculus, particularly in safe lambda-calculus.

A new method enhances the analysis of protocol security for better protection.

Exploring how compilers affect WebAssembly performance and code quality.

Hydro project aims to simplify programming for distributed systems.

Research focuses on efficient motion planning for robots to detect paths and obstacles.

A method to manage particle density using a single control signal.

A new method enables robots to learn continuously without resets.

A robot head can converse and express emotions using advanced technology.

Introducing BR-RCRL to improve high reward learning and out-of-distribution performance.

Applying language models to improve robot decision-making in complex situations.

A new framework helps robots better interpret human instructions.

MIMOC blends reinforcement learning and traditional methods for better robot locomotion.

This study shows how directed edges enhance GNN performance, especially in heterophilic graphs.

A new tool for analyzing complex networks using graphlet analysis.

A look at how COVID-19 changed our food choices and cooking habits.

A new approach to fairness using social networks instead of sensitive traits.

Social media impacts eating disorders, creating harmful communities and pressures.

A look at the global discourse surrounding hydroxychloroquine during the pandemic.

Analyzing user interaction with public and private news posts on Facebook.

This article investigates coordinated accounts' impact during the 2017 French presidential election.

A new model enhances user experience by suggesting relevant actions in workflow automation.

A look at library vulnerabilities in the Swift ecosystem and the need for updates.

The SKA project showcases complex software architecture in radio astronomy.

PilaiPidi helps find buffer overflow issues in Java and C/C++ applications.

This article examines how developers can trust AI tools in coding.

A look at how library dependencies are evolving in the Swift programming ecosystem.

An AI tool that enhances coding efficiency with real-time suggestions.

Fuzzing is key to finding bugs in complex software systems.

Innovative technology separates musical voices using advanced tracking techniques.

Farmers can now track cow behaviors accurately despite background noise.

New methods in music transcription show promise with synthesized audio data.

A large dataset of baby cries aids in understanding infant communication and health.

A new method enhances keyword spotting systems in low-resource conditions.

A new framework enhances flight trajectory predictions using real-time spoken instructions.

A new approach enhances audio captioning by generating clearer, varied sentences.

LORIS generates high-quality music that syncs perfectly with video movements.

A look into the complexities of testing polynomial identities.

An overview of circuit polynomials and their significance in point arrangements.

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.