Computer Science

Research highlights using influence functions to enhance PINN performance in physics problems.

Learn how data shapes algorithm performance through tuning and real-time adaptation.

FPBoost offers a new approach to survival analysis, improving predictions and decision-making.

A dataset of home sounds promotes safety and comfort for older adults.

A new framework evaluates how well language models recognize and respond to emotions.

Examining the role of emotions in enhancing language model interactions.

New model improves image creation from text descriptions.

New dataset evaluates language models' ability to handle time-aware information.

A new framework evaluates how well language models recognize and respond to emotions.

Examining the role of emotions in enhancing language model interactions.

New dataset evaluates language models' ability to handle time-aware information.

SLaVA-CXR improves chest X-ray report generation for better clinical efficiency.

GAProtoNet enhances text classification by improving interpretability while maintaining high accuracy.

A novel approach for creating labeled data in keyphrase generation using citation contexts.

A system that learns and adapts through continuous interaction with its environment.

A new approach to training language models improves efficiency and performance.

Explore temporal VCSPs and their significance in optimization problems.

A look into the Max-Cut problem and its applications in various fields.

Research unveils faster mixing methods in random reversible circuits for improved cryptography.

Investigating how vertex merging impacts graph properties and classifications.

Analyzing line-based Dial-a-Ride and MinTurn problems for better transport efficiency.

A look into minimum spanning trees and their significance in various fields.

Examining how magic depth affects classical simulations of quantum circuits.

A new approach to graph homomorphisms sheds light on complex problems.

This study evaluates the effectiveness of Bidirectional Multivariate LSTM in stock prediction.

A new framework streamlines microstructure design using natural language commands.

Combining optimal transport and structural models improves single-cell data interpretation.

Learn how centrifugal clutches enhance automatic transmission performance in vehicles.

Exploring new methods for predicting asset prices using language models and data analysis.

A look at infection risks and safety measures for factory workers.

Examining the impact of AI-generated text on investor decisions.

New methods enhance accuracy in predicting credit card approvals through innovative frameworks.

Learn how to draw bipartite planar graphs using parallel methods.

HypersurfaceRegions.jl helps researchers analyze complex mathematical structures.

A look into minimum spanning trees and their significance in various fields.

A look into clustered planarity and linear saturation in graph representation.

A new algorithm enhances convex hull finding with improved efficiency.

Researchers develop methods to interpret crater shapes in space images.

A look into how our brains manage short-term memory with neural networks.

A guide to comparing curves using elastic registration techniques.

MEGA-PT improves penetration testing effectiveness and adaptability for better cybersecurity.

A look at how auction formats influence bidding behavior and outcomes.

Learn key trading strategies in a competitive environment.

Examining trade-intent auctions' fairness and efficiency in modern finance.

A new method improves fairness and fund utilization in community budgeting.

Exploring how friendships and enmities shape group stability.

Exploring various types and applications of matching problems in different fields.

A new auction-based method enhances the efficiency of collecting preference data for AI models.

A new technique improves hand tracking accuracy on capacitive touchscreens for remote collaboration.

New model improves image creation from text descriptions.

SLaVA-CXR improves chest X-ray report generation for better clinical efficiency.

Two models forecast groundwater levels with improved accuracy through weather data analysis.

A new method for video denoising that improves quality without paired datasets.

New methods improve motion generation from text, adding gestures and expressions.

A groundbreaking approach to enhance image quality by removing visual obstructions.

New methods improve understanding of AI model predictions.

A new AI tool improves communication between teachers and students in large classes.

Enhancing access to primary healthcare in South Asia for better health outcomes.

Examining the pitfalls of scaling AI models beyond necessity.

This paper discusses fairness in selecting candidates for institutions amid biased evaluations.

Examining the impact of Topics API on digital advertising and competition.

A method to ensure critical thinking when using AI advice.

A study reveals the rise of cybercrime activity on Telegram channels.

This study investigates AI's role in salary negotiation advice and potential biases.

AI tools are changing how developers work and improving the software development process.

A new approach to classify malware efficiently using fewer labeled samples.

A look at privacy concerns in centralized and decentralized learning systems.

Examining the privacy challenges associated with Federated Learning and gradient inversion attacks.

MEGA-PT improves penetration testing effectiveness and adaptability for better cybersecurity.

This approach improves efficiency in training models from large graph data while protecting privacy.

Research unveils faster mixing methods in random reversible circuits for improved cryptography.

A study reveals the rise of cybercrime activity on Telegram channels.

A look at flow decomposition's role in RNA assembly and its advancements.

New methods enhance efficiency in sampling log-concave distributions within polytopes.

This paper discusses fairness in selecting candidates for institutions amid biased evaluations.

Learn how covers enhance efficiency in string processing and analysis.

This research explores efficient learning of Markov Random Fields using dynamic samples.

A novel compressor boosts GMRES performance in solving linear equations.

Silq simplifies quantum programming with user-friendly features.

Investigating how vertex merging impacts graph properties and classifications.

A look at how advanced technologies can support legislative processes.

Learn simple methods for effective data joining and sampling.

Essential rules for preparing your paper for NeurIPS 2024 submission.

CAMAL combines machine learning and traditional methods to optimize LSM tree performance.

This paper examines how MongoDB optimizes query execution plans through unique methods.

This paper investigates fairness in blocking methods for entity matching systems.

An advisor to select the best model for database cardinality estimation based on data features.

This article investigates the threats posed by poisoning attacks on database systems.

RRD-Bio offers a centralized hub for over 2.5 million biomedical research resources.

A look into metal-organic frameworks and their growing significance in science.

A new approach to organizing data in low-temperature plasma research.

A system to streamline knowledge on Large Language Models for researchers.

Recommender systems can enhance access to historical documents in digital archives.

A framework to automate and improve scientific literature summaries for researchers.

Exploring the impact and issues of transformative agreements in academic publishing.

New methods enhance document categorization and answer extraction for researchers.

Exploring the structure and behavior of automata networks in various fields.

This study examines the process of reconfiguring spanning trees using matroid concepts.

Exploring various types and applications of matching problems in different fields.

Research expands Cohen's theorem to approximate spectral norms in Boolean functions.

AXE improves model performance while minimizing overflow in accumulator-aware quantization.

This study addresses multi-period facility location challenges and provides effective solutions.

A new method to analyze uncertain graphs and their centrality measures.

An overview of sandpile models and their role in studying complex systems.

New method improves MRI analysis for dementia diagnosis using classical and quantum techniques.

RapidOMS offers a faster, more efficient approach to mass spectrometry analysis.

A new approach to training language models improves efficiency and performance.

An overview of the importance and methods for verifying distributed systems.

A new algorithm improves real-time collaboration for document editing.

This approach improves efficiency in training models from large graph data while protecting privacy.

Examining trade-intent auctions' fairness and efficiency in modern finance.

PASS uses probabilistic computing to efficiently solve difficult challenges in various fields.

PASS uses probabilistic computing to efficiently solve difficult challenges in various fields.

Exploring how generative AI can improve the Internet of Electric Vehicles.

A new method enhances decentralized load frequency control for electricity systems.

Omni 3D technology enhances device performance and reduces space requirements.

New methods aim to improve quantum image processing efficiency and reduce complexity.

Discover how tensor networks enhance anomaly detection across various fields.

An overview of traditional and deep learning methods in network security.

Nanomachines improve targeted drug delivery, enhancing treatment efficiency and reducing side effects.

This article discusses the Submonoid Membership problem in lamplighter groups and its implications.

A new method for faster string query evaluation using MSO logic.

An overview of finite automata, focusing on states, transitions, and reachability.

A new method enhances how robots plan and execute tasks effectively.

A framework for better understanding complex Markov chains using abstraction and sampling techniques.

Explore how Conway's cosmological theorem transforms number sequences through audioactive derivation.

Exploring formal methods to ensure the reliability of quantum technologies.

A look at how temporal logic shapes technology in our daily lives.

A new technique improves hand tracking accuracy on capacitive touchscreens for remote collaboration.

A novel approach to create diverse, seamless textures for computer graphics.

Exploring a new dataset for non-rigid point cloud registration.

This article discusses a new AR tool that improves 3D drawing accuracy.

A new technique combines traditional hair strands with 3D shapes for realism.

New methods enhance 3D scene editing and user experience in VR.

A method for creating HDR images from a single photo using intrinsic images.

Text2CAD uses AI to simplify CAD design through text prompts.

RapidOMS offers a faster, more efficient approach to mass spectrometry analysis.

Examining firmware vulnerabilities and the tools to enhance security.

New architecture enhances large language model performance on edge devices.

PASS uses probabilistic computing to efficiently solve difficult challenges in various fields.

Robot dogs may transform construction site monitoring and data collection.

Lowering calculation precision without losing accuracy using R2F2 technology.

A new framework enhances responsiveness in systems handling varied task priorities.

A new controller improves timing accuracy in safety-critical systems.

A new technique improves hand tracking accuracy on capacitive touchscreens for remote collaboration.

A new AI tool improves communication between teachers and students in large classes.

New dataset enhances AI's ability to handle conversation misunderstandings.

Mentigo aids middle school students in creative problem-solving tasks.

This research highlights the importance of aligning AI learning with human problem-solving behaviors.

Examining how people cross streets to improve safety with autonomous vehicles.

This article examines GAMs as a solution for predictive performance and interpretability.

This study assesses how well language models assist beginner programmers with code comments.

Learn how to assess clustering methods effectively using various metrics.

BPR remains effective in suggesting items based on user preferences.

Exploring synthetic data's role in promoting fairness in recommendation algorithms.

New methods enhance recommendations by utilizing detailed user and item information.

Token pooling improves data storage while maintaining retrieval accuracy.

FLEX method offers a new approach for evaluating text-to-SQL systems accurately.

A novel model enhances text embeddings through in-context learning strategies.

QualIT enhances text analysis by combining language models and clustering techniques.

A new method improves wavelet filter bank design for signal processing.

WAFeL improves device collaboration in federated learning while enhancing efficiency.

Developing adaptive trial designs to improve treatment effectiveness and patient care.

New methods in turbo equalization improve signal reception and reduce complexity.

A new approach to secure short message transmission using deep learning techniques.

Examining security advancements in UAV-enabled mobile edge computing systems.

Exploring the complexities of communication systems for lunar missions.

Examining strategies for improving feature learning in imbalanced datasets.

Exploring new methods to improve proof verification in software engineering.

A framework for analyzing concurrent programs with probabilistic outcomes.

Examining propositional equality's role in type theory and its implications.

A new framework aims to enhance reliability and clarity in AI reasoning.

Examining the relationship between mathematical proofs and geometric spaces.

Improving tools to check if loops in programs will finish running.

A framework for better understanding complex Markov chains using abstraction and sampling techniques.

Team semantics enhances verification of complex properties in software systems.

Research highlights using influence functions to enhance PINN performance in physics problems.

New method improves MRI analysis for dementia diagnosis using classical and quantum techniques.

Learn how data shapes algorithm performance through tuning and real-time adaptation.

New methods enhance audio tagging for diverse music styles and cultural preservation.

New framework and dataset improve arousal detection in sleep studies.

FPBoost offers a new approach to survival analysis, improving predictions and decision-making.

Machine learning improves the production and accuracy of official statistics.

A new method improves neural network efficiency in scientific applications.

Forester simplifies machine learning for R users with a user-friendly package.

Learn how the funnel method simplifies solving constrained optimization challenges.

Improving simulations of multiphase fluid flows using modern GPU technology.

HypersurfaceRegions.jl helps researchers analyze complex mathematical structures.

QHyper simplifies the use of quantum computing for combinatorial optimization tasks.

A simple guide to graphs, nodes, edges, and distances in real life.

A toolbox offering efficient methods for solving complex movement and change equations.

Learn how an algorithm simplifies complex optimization challenges.

Research shows improved techniques for pathfinding with multiple agents in shared spaces.

A new method improves fairness and fund utilization in community budgeting.

Exploring various types and applications of matching problems in different fields.

A new system encourages diverse perspectives in artificial intelligence discussions.

A new method boosts material handling efficiency using multi-agent reinforcement learning.

A method for estimating sensor objectives amidst noisy observations.

AssistantX is a smart robotic assistant designed for dynamic office tasks.

A guide to explaining AI agent behavior using Policy Graphs for better trust.

Improved methods for boundary detection enhance CAD modeling from 3D scans.

A new approach enhances video question answering through scene text recognition.

Llama-AVSR merges audio and visual inputs for enhanced speech recognition accuracy.

A new system for creating dance camera movements synchronized with music.

Teams compete to improve methods for predicting video attention.

A new method combining models to improve unsupervised domain adaptation in segmentation tasks.

A new model creates audio that matches video, enhancing media experiences.

A new framework enhances video-language dataset quality through iterative refinement.

Examining the impact of Topics API on digital advertising and competition.

Combining blockchain and IPFS offers a secure and efficient solution for version control.

Vercel automates network checks and fixes with speed and efficiency.

Exploring the role of Semantic Communication and security in next-gen networks.

New methods using language models enhance data processing in Earth observation systems.

RLSR-Routing improves Internet traffic routing using reinforcement learning for better efficiency.

This approach improves efficiency and accuracy in analyzing data from multiple devices.

A flexible testbed enhances research in Named Data Networking for better data access.

Examining the role of reproducibility in Quality-Diversity algorithms for real-world applications.

Analyzing the application of DBSCAN in neuromorphic systems for efficient data processing.

This article examines GAMs as a solution for predictive performance and interpretability.

Research merges evolutionary algorithms and quantum computing to tackle the Max-Cut problem.

A new method enhances predictions in machine learning using specialized models.

HEN improves memory retrieval in neural networks by enhancing pattern separability.

Research shows promise in predicting cognitive decline with blood tests and advanced models.

A fresh approach to optimization using multiple strategies for better results.

New techniques in managing quantum systems enhance density matrix calculations.

Introducing a robust method for solving Navier-Stokes equations in fluid dynamics.

A new method improves neural network efficiency in scientific applications.

Study of machine-learning models predicting properties in solid materials, focusing on defects.

Techniques for solving challenges in data interpretation using mixed precision and regularization.

Rational neural networks enhance fluid dynamics accuracy and efficiency in simulations.

A study on techniques for approximating singular values in various applications.

Exploring methods to simulate air pollution from a coal power plant.

A detailed look at CXL memory performance and optimization techniques.

A look at FIFO and Round Robin scheduling methods in computing systems.

GPUVM enhances GPU memory management for faster data processing.

A unified API streamlines communication with NVMe devices for developers.

EDM transforms memory disaggregation, achieving rapid data access and efficiency.

HotMem speeds up memory reclamation in serverless setups for improved performance.

Chameleon system enhances language model performance by managing resources effectively.

Exploring the transition from blocking to asynchronous I/O methods.

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 novel compressor boosts GMRES performance in solving linear equations.

A study comparing LLMs Mistral and LLaMa on different GPUs.

Discover how causal relationships impact decisions in various fields.

A look at how LFRic performs on different supercomputers for weather predictions.

Researchers tackled real-world data search challenges at NeurIPS 2023.

A tool to analyze energy use by computer programs.

Photonic quantum computers may revolutionize solving complex optimization challenges.

Learn how Zernike Polynomials enhance optics and astrophysics.

Exploring new methods to improve proof verification in software engineering.

Silq simplifies quantum programming with user-friendly features.

Exploring the importance of accountability in software systems affecting social and legal outcomes.

Improving tools to check if loops in programs will finish running.

Exploring how guarded recursion enhances infinite data structures in programming.

This paper examines the link between minimal intuitionistic logic and call-by-value evaluation in programming.

Introducing a programming language focused on reliable application performance and memory management.

A method for analyzing exceptional behavior in Java programs using bytecode.

New methods improve how human movements are applied to robots.

New framework enhances AI planning by improving visual understanding and reasoning.

A look at automating the alignment of optical systems using three methods.

This article discusses a framework to help robots learn in challenging conditions.

A study on controlling vertical motion for improved comfort and safety in vehicles.

Researchers enhance soft drone capabilities for aerial grasping tasks.

New methods improve smart vacuum efficiency and learning capabilities.

IMOST enhances robots' ability to learn about traversable paths while navigating complex environments.

Examining fairness and bias in social media content recommendations.

Examining the impact of Topics API on digital advertising and competition.

A study reveals the rise of cybercrime activity on Telegram channels.

New models aim to combat harmful language online through advanced detection techniques.

Study reveals coordinated misinformation efforts during the upcoming presidential election.

A new method improves task affinity estimation for multitask learning.

Research shows how algorithms shape user views on social networks.

A detailed study reveals the impact of social networks on individual lives in Denmark.

AI tools are changing how developers work and improving the software development process.

An overview of the importance and methods for verifying distributed systems.

Exploring new methods to improve proof verification in software engineering.

Research shows new methods for improving the merging of software code.

Exploring Differential GAI’s role in improving code quality for software projects.

zsLLMCode creates useful code representations efficiently using AI.

Examining firmware vulnerabilities and the tools to enhance security.

This study assesses how well language models assist beginner programmers with code comments.

New methods enhance audio tagging for diverse music styles and cultural preservation.

A dataset of home sounds promotes safety and comfort for older adults.

SD-Codec improves audio processing by separating different sound types effectively.

This article discusses methods to enhance speech recognition for accented speech.

A new approach enhances the interpretability of spoof speech detection.

A look at the new single-stage TTS system improving speech generation.

This study addresses challenges in audio language models for low-resource languages.

This study enhances emotion recognition systems for less common languages using high-resource data.